Most-cited articles · 2017

The 50 most-cited articles in PeerJ, 2017

Ranked by OpenAlex citation count on 29 October 2026, out of 1,361 eligible articles PeerJ published in 2017. Ranks are frozen; this page will not change. Number one, with 1,010 citations: SDMtoolbox 2.0: the next generation Python-based GIS toolkit for landscape genetic, biogeographic and species distribution model analyses.

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  1. 1
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    SDMtoolbox 2.0: the next generation Python-based GIS toolkit for landscape genetic, biogeographic and species distribution model analyses

    Jason Lee Brown, Joseph R. Bennett, Connor M. French

    1,010 citationsOpen access (CC-BY)doi:10.7717/peerj.4095OpenAlex

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    SDMtoolbox 2.0 is a software package for spatial studies of ecology, evolution, and genetics. The release of SDMtoolbox 2.0 allows researchers to use the most current ArcGIS software and MaxEnt software, and reduces the amount of time that would be spent developing common solutions. The central aim of this software is to automate complicated and repetitive spatial analyses in an intuitive graphical user interface. One core tenant facilitates careful parameterization of species distribution models (SDMs) to maximize each model's discriminatory ability and minimize overfitting. This includes carefully processing of occurrence data, environmental data, and model parameterization. This program directly interfaces with MaxEnt, one of the most powerful and widely used species distribution modeling software programs, although SDMtoolbox 2.0 is not limited to species distribution modeling or restricted to modeling in MaxEnt. Many of the SDM pre- and post-processing tools have 'universal' analogs for use with any modeling software. The current version contains a total of 79 scripts that…

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    MaxEnt’s parameter configuration and small samples: are we paying attention to recommendations? A systematic review

    Narkis S. Morales, Ignacio C. Fernández, Victoria Baca-González

    528 citationsOpen access (CC-BY)doi:10.7717/peerj.3093OpenAlex

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    Environmental niche modeling (ENM) is commonly used to develop probabilistic maps of species distribution. Among available ENM techniques, MaxEnt has become one of the most popular tools for modeling species distribution, with hundreds of peer-reviewed articles published each year. MaxEnt's popularity is mainly due to the use of a graphical interface and automatic parameter configuration capabilities. However, recent studies have shown that using the default automatic configuration may not be always appropriate because it can produce non-optimal models; particularly when dealing with a small number of species presence points. Thus, the recommendation is to evaluate the best potential combination of parameters (feature classes and regularization multiplier) to select the most appropriate model. In this work we reviewed 244 articles published between 2013 and 2015 to assess whether researchers are following recommendations to avoid using the default parameter configuration when dealing with small sample sizes, or if they are using MaxEnt as a "black box tool." Our results show that in…

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    Rhea: a transparent and modular R pipeline for microbial profiling based on 16S rRNA gene amplicons

    Ilias Lagkouvardos, Sandra Elisabeth Fischer, Neeraj Kumar, Thomas Clavel

    433 citationsOpen access (CC-BY)doi:10.7717/peerj.2836OpenAlex

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    The importance of 16S rRNA gene amplicon profiles for understanding the influence of microbes in a variety of environments coupled with the steep reduction in sequencing costs led to a surge of microbial sequencing projects. The expanding crowd of scientists and clinicians wanting to make use of sequencing datasets can choose among a range of multipurpose software platforms, the use of which can be intimidating for non-expert users. Among available pipeline options for high-throughput 16S rRNA gene analysis, the R programming language and software environment for statistical computing stands out for its power and increased flexibility, and the possibility to adhere to most recent best practices and to adjust to individual project needs. Here we present the Rhea pipeline, a set of R scripts that encode a series of well-documented choices for the downstream analysis of Operational Taxonomic Units (OTUs) tables, including normalization steps, alpha - and beta -diversity analysis, taxonomic composition, statistical comparisons, and calculation of correlations. Rhea is primarily a…

  4. 4
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    PlantCV v2: Image analysis software for high-throughput plant phenotyping

    Malia A. Gehan, Noah Fahlgren, Arash Abbasi, Jeffrey C. Berry, Steven T. Callen and 14 more

    369 citationsOpen access (CC-BY)doi:10.7717/peerj.4088OpenAlex

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    Systems for collecting image data in conjunction with computer vision techniques are a powerful tool for increasing the temporal resolution at which plant phenotypes can be measured non-destructively. Computational tools that are flexible and extendable are needed to address the diversity of plant phenotyping problems. We previously described the Plant Computer Vision (PlantCV) software package, which is an image processing toolkit for plant phenotyping analysis. The goal of the PlantCV project is to develop a set of modular, reusable, and repurposable tools for plant image analysis that are open-source and community-developed. Here we present the details and rationale for major developments in the second major release of PlantCV. In addition to overall improvements in the organization of the PlantCV project, new functionality includes a set of new image processing and normalization tools, support for analyzing images that include multiple plants, leaf segmentation, landmark identification tools for morphometrics, and modules for machine learning.

  5. 5
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    Benchmarking viromics: an in silico evaluation of metagenome-enabled estimates of viral community composition and diversity

    Simon Roux, Joanne Emerson, Emiley A. Eloe‐Fadrosh, Matthew B. Sullivan

    319 citationsOpen access (CC-BY)doi:10.7717/peerj.3817OpenAlex

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    BACKGROUND: mock viral communities to evaluate the viromic sequence-to-ecological-inference pipeline, including (i) read pre-processing and metagenome assembly, (ii) thresholds applied to estimate viral relative abundances based on read mapping to assembled contigs, and (iii) normalization methods applied to the matrix of viral relative abundances for alpha and beta diversity estimates. RESULTS: Tools specifically designed for metagenomes, specifically metaSPAdes, MEGAHIT, and IDBA-UD, were the most effective at assembling viromes. Read pre-processing, such as partitioning, had virtually no impact on assembly output, but may be useful when hardware is limited. Viral populations with 2-5 × coverage typically assembled well, whereas lesser coverage led to fragmented assembly. Strain heterogeneity within populations hampered assembly, especially when strains were closely related (average nucleotide identity, or ANI ≥97%) and when the most abundant strain represented <50% of the population. Viral community composition assessments based on read recruitment were generally accurate when…

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    The earth is flat ( p > 0.05): significance thresholds and the crisis of unreplicable research

    Valentin Amrhein, Fränzi Korner‐Nievergelt, Tobias Roth

    309 citationsOpen access (CC-BY)doi:10.7717/peerj.3544OpenAlex

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    The widespread use of 'statistical significance' as a license for making a claim of a scientific finding leads to considerable distortion of the scientific process (according to the American Statistical Association). We review why degrading p-values into 'significant' and 'nonsignificant' contributes to making studies irreproducible, or to making them seem irreproducible. A major problem is that we tend to take small p-values at face value, but mistrust results with larger p-values. In either case, p-values tell little about reliability of research, because they are hardly replicable even if an alternative hypothesis is true. Also significance (p≤0.05) is hardly replicable: at a good statistical power of 80%, two studies will be 'conflicting', meaning that one is significant and the other is not, in one third of the cases if there is a true effect. A replication can therefore not be interpreted as having failed only because it is nonsignificant. Many apparent replication failures may thus reflect faulty judgment based on significance thresholds rather than a crisis of unreplicable…

  7. 7
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    Why choose Random Forest to predict rare species distribution with few samples in large undersampled areas? Three Asian crane species models provide supporting evidence

    Chunrong Mi, Falk Huettmann, Yumin Guo, Xuesong Han, Lijia Wen

    308 citationsOpen access (CC-BY)doi:10.7717/peerj.2849OpenAlex

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    Species distribution models (SDMs) have become an essential tool in ecology, biogeography, evolution, and more recently, in conservation biology. How to generalize species distributions in large undersampled areas, especially with few samples, is a fundamental issue of SDMs. In order to explore this issue, we used the best available presence records for the Hooded Crane (Grus monacha, n=33), White-naped Crane (Grus vipio, n=40), and Black-necked Crane (Grus nigricollis, n=75) in China as three case studies, employing four powerful and commonly used machine learning algorithms to map the breeding distributions of the three species: TreeNet (Stochastic Gradient Boosting, Boosted Regression Tree Model), Random Forest, CART (Classification and Regression Tree) and Maxent (Maximum Entropy Models) Besides, we developed an ensemble forecast by averaging predicted probability of above four models results. Commonly-used model performance metrics (Area under ROC (AUC) and true skill statistic (TSS)) were employed to evaluate model accuracy. Latest satellite tracking data and compiled…

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    vConTACT: an iVirus tool to classify double-stranded DNA viruses that infect Archaea and Bacteria

    Benjamin Bolduc, Ho Bin Jang, Guilhem Doulcier, Zhi-Qiang You, Simon Roux and 1 more

    293 citationsOpen access (CC-BY)doi:10.7717/peerj.3243OpenAlex

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    Taxonomic classification of archaeal and bacterial viruses is challenging, yet also fundamental for developing a predictive understanding of microbial ecosystems. Recent identification of hundreds of thousands of new viral genomes and genome fragments, whose hosts remain unknown, requires a paradigm shift away from traditional classification approaches and towards the use of genomes for taxonomy. Here we revisited the use of genomes and their protein content as a means for developing a viral taxonomy for bacterial and archaeal viruses. A network-based analytic was evaluated and benchmarked against authority-accepted taxonomic assignments and found to be largely concordant. Exceptions were manually examined and found to represent areas of viral genome 'sequence space' that are under-sampled or prone to excessive genetic exchange. While both cases are poorly resolved by genome-based taxonomic approaches, the former will improve as viral sequence space is better sampled and the latter are uncommon. Finally, given the largely robust taxonomic capabilities of this approach, we sought to…

  9. 9
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    Atropos: specific, sensitive, and speedy trimming of sequencing reads

    John P. Didion, Marcel Martin, Francis S. Collins

    259 citationsOpen access (PUBLIC-DOMAIN)doi:10.7717/peerj.3720OpenAlex

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    A key step in the transformation of raw sequencing reads into biological insights is the trimming of adapter sequences and low-quality bases. Read trimming has been shown to increase the quality and reliability while decreasing the computational requirements of downstream analyses. Many read trimming software tools are available; however, no tool simultaneously provides the accuracy, computational efficiency, and feature set required to handle the types and volumes of data generated in modern sequencing-based experiments. Here we introduce Atropos and show that it trims reads with high sensitivity and specificity while maintaining leading-edge speed. Compared to other state-of-the-art read trimming tools, Atropos achieves significant increases in trimming accuracy while remaining competitive in execution times. Furthermore, Atropos maintains high accuracy even when trimming data with elevated rates of sequencing errors. The accuracy, high performance, and broad feature set offered by Atropos makes it an appropriate choice for the pre-processing of Illumina, ABI SOLiD, and other…

  10. 10
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    Diversity analysis of gut microbiota in osteoporosis and osteopenia patients

    Jihan Wang, Yangyang Wang, Wenjie Gao, Biao Wang, Heping Zhao and 3 more

    240 citationsOpen access (CC-BY)doi:10.7717/peerj.3450OpenAlex

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    Some evidence suggests that bone health can be regulated by gut microbiota. To better understand this, we performed 16S ribosomal RNA sequencing to analyze the intestinal microbial diversity in primary osteoporosis (OP) patients, osteopenia (ON) patients and normal controls (NC). We observed an inverse correlation between the number of bacterial taxa and the value of bone mineral density. The diversity estimators in the OP and ON groups were increased compared with those in the NC group. Beta diversity analyses based on hierarchical clustering and principal coordinate analysis (PCoA) could discriminate the NC samples from OP and ON samples. Firmicutes, Bacteroidetes, Proteobacteria and Actinobacteria constituted the four dominant phyla in all samples. Proportion of Firmicutes was significantly higher and Bacteroidetes was significantly lower in OP samples than that in NC samples ( p < 0.05), Gemmatimonadetes and Chloroflexi were significantly different between OP and NC group as well as between ON and NC group ( p < 0.01). A total of 21 genera with proportions above 1% were detected…

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    Accuracy of microbial community diversity estimated by closed- and open-reference OTUs

    R. C. Edgar

    225 citationsOpen access (CC-BY)doi:10.7717/peerj.3889OpenAlex

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    Abstract Next-generation amplicon sequencing is widely used for surveying biological diversity in applications such as microbial metagenomics, immune system repertoire analysis and targeted tumor sequencing of cancer-associated genes. In such studies, assignment of reads to incorrect samples (cross-talk) is a well-documented problem that is rarely considered in practice. By considering unexpected OTUs in artificial (mock) samples, I estimate that cross-talk occurred for ~2% of the reads in one Illumina GAIIx run and eleven Illumina MiSeq runs targeting 16S ribosomal RNA. I also describe UNCROSS, an algorithm for detecting and filtering cross-talk in OTU tables.

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    Key bacterial families (Clostridiaceae, Erysipelotrichaceae and Bacteroidaceae) are related to the digestion of protein and energy in dogs

    Emma N. Bermingham, Paul Haydon Maclean, David G. Thomas, Nick Cave, Wayne Young

    223 citationsOpen access (CC-BY)doi:10.7717/peerj.3019OpenAlex

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    Background Much of the recent research in companion animal nutrition has focussed on understanding the role of diet on faecal microbiota composition. To date, diet-induced changes in faecal microbiota observed in humans and rodents have been extrapolated to pets in spite of their very different dietary and metabolic requirements. This lack of direct evidence means that the mechanisms by which microbiota influences health in dogs are poorly understood. We hypothesised that changes in faecal microbiota correlate with physiological parameters including apparent macronutrient digestibility. Methods Fifteen adult dogs were assigned to two diet groups, exclusively fed either a premium kibbled diet (kibble; K ; n = 8) or a raw red meat diet (meat; M ; n = 7) for nine weeks. Apparent digestibility of macronutrients (protein, fat, gross energy and dry matter), faecal weight, faecal health scores, faecal VFA concentrations and faecal microbial composition were determined. Datasets were integrated using mixOmics in R. Results Faecal weight and VFA levels were lower and the apparent…

  13. 13
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    Ambient temperature and cardiovascular mortality: a systematic review and meta-analysis

    Mohammad Taghi Moghadamnia, Ali Ardalan, Alireza Mesdaghinia, Abbasali Keshtkar, Kazem Naddafi and 1 more

    206 citationsOpen access (CC-BY)doi:10.7717/peerj.3574OpenAlex

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    INTRODUCTION: Our study aims at identifying and quantifying the relationship between the cold and heat exposure and the risk of cardiovascular mortality through a systematic review and meta-analysis. MATERIAL AND METHODS: A systematic review and meta-analysis were conducted based on the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guideline. Peer-reviewed studies about the temperature and cardiovascular mortality were retrieved in the MEDLINE, Web of Science, and Scopus databases from January 2000 up to the end of 2015. The pooled effect sizes of short-term effect were calculated for the heat exposure and cold exposure separately. Also, we assessed the dose-response relationship of temperature-cardiovascular mortality by a change in units of latitudes, longitude, lag days and annual mean temperature by meta-regression. RESULT: After screening the titles, abstracts and full texts, a total of 26 articles were included in the meta-analysis. The risk of cardiovascular mortality increased by 5% (RR, 1.055; 95% CI [1.050-1.060]) for the cold exposure and…

  14. 14
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    Regression assumptions in clinical psychology research practice—a systematic review of common misconceptions

    Anja Franziska Ernst, Casper Johannes Albers

    196 citationsOpen access (CC-BY)doi:10.7717/peerj.3323OpenAlex

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    Misconceptions about the assumptions behind the standard linear regression model are widespread and dangerous. These lead to using linear regression when inappropriate, and to employing alternative procedures with less statistical power when unnecessary. Our systematic literature review investigated employment and reporting of assumption checks in twelve clinical psychology journals. Findings indicate that normality of the variables themselves, rather than of the errors, was wrongfully held for a necessary assumption in 4% of papers that use regression. Furthermore, 92% of all papers using linear regression were unclear about their assumption checks, violating APA-recommendations. This paper appeals for a heightened awareness for and increased transparency in the reporting of statistical assumption checking.

  15. 15
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    BinSanity: unsupervised clustering of environmental microbial assemblies using coverage and affinity propagation

    Elaina D. Graham, John F. Heidelberg, Benjamin Tully

    187 citationsOpen access (CC-BY)doi:10.7717/peerj.3035OpenAlex

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    Metagenomics has become an integral part of defining microbial diversity in various environments. Many ecosystems have characteristically low biomass and few cultured representatives. Linking potential metabolisms to phylogeny in environmental microorganisms is important for interpreting microbial community functions and the impacts these communities have on geochemical cycles. However, with metagenomic studies there is the computational hurdle of 'binning' contigs into phylogenetically related units or putative genomes. Binning methods have been implemented with varying approaches such as k-means clustering, Gaussian mixture models, hierarchical clustering, neural networks, and two-way clustering; however, many of these suffer from biases against low coverage/abundance organisms and closely related taxa/strains. We are introducing a new binning method, BinSanity, that utilizes the clustering algorithm affinity propagation (AP), to cluster assemblies using coverage with compositional based refinement (tetranucleotide frequency and percent GC content) to optimize bins containing…

  16. 16
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    Sensory determinants of the autonomous sensory meridian response (ASMR): understanding the triggers

    Emma L Barratt, Charles J. Spence, Nick J. Davis

    184 citationsOpen access (CC-BY)doi:10.7717/peerj.3846OpenAlex

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    The autonomous sensory meridian response (ASMR) is an atypical sensory phenomenon involving electrostatic-like tingling sensations in response to certain sensory, primarily audio-visual, stimuli. The current study used an online questionnaire, completed by 130 people who self-reported experiencing ASMR. We aimed to extend preliminary investigations into the experience, and establish key multisensory factors contributing to the successful induction of ASMR through online media. Aspects such as timing and trigger load, atmosphere, and characteristics of ASMR content, ideal spatial distance from various types of stimuli, visual characteristics, context and use of ASMR triggers, and audio preferences are explored. Lower-pitched, complex sounds were found to be especially effective triggers, as were slow-paced, detail-focused videos. Conversely, background music inhibited the sensation for many respondents. These results will help in designing media for ASMR induction.

  17. 17
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    Spatial distribution of environmental DNA in a nearshore marine habitat

    James L. O’Donnell, Ryan P. Kelly, Andrew Olaf Shelton, Jameal Farouq Samhouri, Natalie C. Lowell and 1 more

    174 citationsOpen access (PUBLIC-DOMAIN)doi:10.7717/peerj.3044OpenAlex

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    In the face of increasing threats to biodiversity, the advancement of methods for surveying biological communities is a major priority for ecologists. Recent advances in molecular biological technologies have made it possible to detect and sequence DNA from environmental samples (environmental DNA or eDNA); however, eDNA techniques have not yet seen widespread adoption as a routine method for biological surveillance primarily due to gaps in our understanding of the dynamics of eDNA in space and time. In order to identify the effective spatial scale of this approach in a dynamic marine environment, we collected marine surface water samples from transects ranging from the intertidal zone to four kilometers from shore. Using PCR primers that target a diverse assemblage of metazoans, we amplified a region of mitochondrial 16S rDNA from the samples and sequenced the products on an Illumina platform in order to detect communities and quantify their spatial patterns using a variety of statistical tools. We find evidence for multiple, discrete eDNA communities in this habitat, and show that…

  18. 18
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    A massive update of non-indigenous species records in Mediterranean marinas

    Aylin Ulman, Jasmine Ferrario, Anna Occhipinti‐Ambrogi, Christos Arvanitidis, Ada Bandi and 13 more

    171 citationsOpen access (CC-BY)doi:10.7717/peerj.3954OpenAlex

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    The Mediterranean Sea is home to over 2/3 of the world’s charter boat traffic and hosts an estimated 1.5 million recreational boats. Studies elsewhere have demonstrated marinas as important hubs for the stepping-stone transfer of non-indigenous species (NIS), but these unique anthropogenic, and typically artificial habitats have largely gone overlooked in the Mediterranean as sources of NIS hot-spots. From April 2015 to November 2016, 34 marinas were sampled across the following Mediterranean countries: Spain, France, Italy, Malta, Greece, Turkey and Cyprus to investigate the NIS presence and richness in the specialized hard substrate material of these marina habitats. All macroinvertebrate taxa were collected and identified. Additionally, fouling samples were collected from approximately 600 boat-hulls from 25 of these marinas to determine if boats host diverse NIS not present in the marina. Here, we present data revealing that Mediterranean marinas indeed act as major hubs for the transfer of marine NIS, and we also provide evidence that recreational boats act as effective vectors…

  19. 19
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    Genomic and functional analysis of Romboutsia ilealis CRIB T reveals adaptation to the small intestine

    Jacoline Gerritsen, Bastian Hornung, B.A.M. Renckens, Sacha A. F. T. van Hijum, Vítor A. P. Martins dos Santos and 4 more

    171 citationsOpen access (CC-BY)doi:10.7717/peerj.3698OpenAlex

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    Background The microbiota in the small intestine relies on their capacity to rapidly import and ferment available carbohydrates to survive in a complex and highly competitive ecosystem. Understanding how these communities function requires elucidating the role of its key players, the interactions among them and with their environment/host. Methods The genome of the gut bacterium Romboutsia ilealis CRIB T was sequenced with multiple technologies (Illumina paired-end, mate-pair and PacBio). The transcriptome was sequenced (Illumina HiSeq) after growth on three different carbohydrate sources, and short chain fatty acids were measured via HPLC. Results We present the complete genome of Romboutsia ilealis CRIB T , a natural inhabitant and key player of the small intestine of rats. R. ilealis CRIB T possesses a circular chromosome of 2,581,778 bp and a plasmid of 6,145 bp, carrying 2,351 and eight predicted protein coding sequences, respectively. Analysis of the genome revealed limited capacity to synthesize amino acids and vitamins, whereas multiple and partially redundant pathways for…

  20. 20
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    The landscape of fear conceptual framework: definition and review of current applications and misuses

    Sonny S. Bleicher

    170 citationsOpen access (CC-BY)doi:10.7717/peerj.3772OpenAlex

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    Landscapes of Fear (LOF), the spatially explicit distribution of perceived predation risk as seen by a population, is increasingly cited in ecological literature and has become a frequently used "buzz-word". With the increase in popularity, it became necessary to clarify the definition for the term, suggest boundaries and propose a common framework for its use. The LOF, as a progeny of the "ecology of fear" conceptual framework, defines fear as the strategic manifestation of the cost-benefit analysis of food and safety tradeoffs. In addition to direct predation risk, the LOF is affected by individuals' energetic-state, inter- and intra-specific competition and is constrained by the evolutionary history of each species. Herein, based on current applications of the LOF conceptual framework, I suggest the future research in this framework will be directed towards: (1) finding applied management uses as a trait defining a population's habitat-use and habitat-suitability; (2) studying multi-dimensional distribution of risk-assessment through time and space; (3) studying variability…

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    Factors influencing healthcare provider respondent fatigue answering a globally administered in-app survey

    Vikas N. O’Reilly-Shah

    170 citationsOpen access (CC-BY)doi:10.7717/peerj.3785OpenAlex

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    BACKGROUND: Respondent fatigue, also known as survey fatigue, is a common problem in the collection of survey data. Factors that are known to influence respondent fatigue include survey length, survey topic, question complexity, and open-ended question type. There is a great deal of interest in understanding the drivers of physician survey responsiveness due to the value of information received from these practitioners. With the recent explosion of mobile smartphone technology, it has been possible to obtain survey data from users of mobile applications (apps) on a question-by-question basis. The author obtained basic demographic survey data as well as survey data related to an anesthesiology-specific drug called sugammadex and leveraged nonresponse rates to examine factors that influenced respondent fatigue. METHODS: Primary data were collected between December 2015 and February 2017. Surveys and in-app analytics were collected from global users of a mobile anesthesia calculator app. Key independent variables were user country, healthcare provider role, rating of importance of the…

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    Random sampling causes the low reproducibility of rare eukaryotic OTUs in Illumina COI metabarcoding

    Matthieu Leray, Nancy­ Knowlton­

    169 citationsOpen access (CC-BY)doi:10.7717/peerj.3006OpenAlex

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    DNA metabarcoding, the PCR-based profiling of natural communities, is becoming the method of choice for biodiversity monitoring because it circumvents some of the limitations inherent to traditional ecological surveys. However, potential sources of bias that can affect the reproducibility of this method remain to be quantified. The interpretation of differences in patterns of sequence abundance and the ecological relevance of rare sequences remain particularly uncertain. Here we used one artificial mock community to explore the significance of abundance patterns and disentangle the effects of two potential biases on data reproducibility: indexed PCR primers and random sampling during Illumina MiSeq sequencing. We amplified a short fragment of the mitochondrial Cytochrome c Oxidase Subunit I (COI) for a single mock sample containing equimolar amounts of total genomic DNA from 34 marine invertebrates belonging to six phyla. We used seven indexed broad-range primers and sequenced the resulting library on two consecutive Illumina MiSeq runs. The total number of Operational Taxonomic…

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    Taxonomic and functional trait diversity of wild bees in different urban settings

    Étienne Normandin, Nicolas J. Vereecken, Christopher M. Buddle, Valérie Fournier

    168 citationsOpen access (CC-BY)doi:10.7717/peerj.3051OpenAlex

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    Urbanization is one of the major anthropogenic processes contributing to local habitat loss and extirpation of numerous species, including wild bees, the most widespread pollinators. Little is known about the mechanisms through which urbanization impacts wild bee communities, or the types of urban green spaces that best promote their conservation in cities. The main objective of this study was to describe and compare wild bee community diversity, structure, and dynamics in two Canadian cities, Montreal and Quebec City. A second objective was to compare functional trait diversity among three habitat types (cemeteries, community gardens and urban parks) within each city. Bees were collected using pan traps and netting on the same 46 sites, multiple times, over the active season in 2012 and 2013. A total of 32,237 specimens were identified, representing 200 species and 6 families, including two new continental records,Hylaeus communisNylander (1852) andAnthidium florentinum(Fabricius, 1775). Despite high community evenness, we found significant abundance of diverse species, including…

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    Reproducible and reusable research: are journal data sharing policies meeting the mark?

    Nicole Vasilevsky, Jessica Minnier, Melissa Anne Haendel, Robin Champieux

    165 citationsOpen access (CC-BY)doi:10.7717/peerj.3208OpenAlex

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    BACKGROUND: There is wide agreement in the biomedical research community that research data sharing is a primary ingredient for ensuring that science is more transparent and reproducible. Publishers could play an important role in facilitating and enforcing data sharing; however, many journals have not yet implemented data sharing policies and the requirements vary widely across journals. This study set out to analyze the pervasiveness and quality of data sharing policies in the biomedical literature. METHODS: The online author's instructions and editorial policies for 318 biomedical journals were manually reviewed to analyze the journal's data sharing requirements and characteristics. The data sharing policies were ranked using a rubric to determine if data sharing was required, recommended, required only for omics data, or not addressed at all. The data sharing method and licensing recommendations were examined, as well any mention of reproducibility or similar concepts. The data was analyzed for patterns relating to publishing volume, Journal Impact Factor, and the publishing…

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    A public dataset of running biomechanics and the effects of running speed on lower extremity kinematics and kinetics

    Reginaldo Fukuchi, Claudiane Arakaki Fukuchi, Marcos Duarte

    164 citationsOpen access (CC-BY)doi:10.7717/peerj.3298OpenAlex

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    BACKGROUND: The goals of this study were (1) to present the set of data evaluating running biomechanics (kinematics and kinetics), including data on running habits, demographics, and levels of muscle strength and flexibility made available at Figshare (DOI: 10.6084/m9.figshare.4543435); and (2) to examine the effect of running speed on selected gait-biomechanics variables related to both running injuries and running economy. METHODS: The lower-extremity kinematics and kinetics data of 28 regular runners were collected using a three-dimensional (3D) motion-capture system and an instrumented treadmill while the subjects ran at 2.5 m/s, 3.5 m/s, and 4.5 m/s wearing standard neutral shoes. RESULTS: A dataset comprising raw and processed kinematics and kinetics signals pertaining to this experiment is available in various file formats. In addition, a file of metadata, including demographics, running characteristics, foot-strike patterns, and muscle strength and flexibility measurements is provided. Overall, there was an effect of running speed on most of the gait-biomechanics variables…

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    Postmortem succession of gut microbial communities in deceased human subjects

    Jennifer M. DeBruyn, Kathleen A. Hauther

    159 citationsOpen access (CC-BY)doi:10.7717/peerj.3437OpenAlex

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    The human microbiome has demonstrated importance for health and functioning in living individuals. However the fate of the microbiome after death is poorly understood. In addition to a better understanding of microbe-mediated decomposition processes, postmortem succession of human-associated microbial communities has been suggested as a possible forensic tool for estimating time since death, or postmortem interval (PMI). The objective of our study was to document postmortem changes in human gut bacterial communities. Gut microflora were repeatedly sampled from the caeca of cadavers as they decayed under natural environmental conditions. 16S rRNA gene amplicon sequencing revealed that over time, bacterial richness significantly increased (rs = 0.449) while diversity decreased (rs = -0.701). The composition of gut bacterial communities changed in a similar manner over time towards a common decay community. OTUs belonging to Bacteroidales (Bacteroides, Parabacteroides) significantly declined while Clostridiales (Clostridium, Anaerosphaera) and the fly-associated Gammaproteobacteria…

  27. 27
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    Composition, diversity and function of intestinal microbiota in pacific white shrimp ( Litopenaeus vannamei ) at different culture stages

    Shenzheng Zeng, Zhijian Huang, Dongwei Hou, Jian Liu, Shaoping Weng and 1 more

    158 citationsOpen access (CC-BY)doi:10.7717/peerj.3986OpenAlex

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    Intestinal microbiota is an integral component of the host and plays important roles in host health. The pacific white shrimp is one of the most profitable aquaculture species commercialized in the world market with the largest production in shrimp consumption. Many studies revealed that the intestinal microbiota shifted significantly during host development in other aquaculture animals. In the present study, 22 shrimp samples were collected every 15 days from larval stage (15 day post-hatching, dph) to adult stage (75 dph) to investigate the intestinal microbiota at different culture stages by targeting the V4 region of 16S rRNA gene, and the microbial function prediction was conducted by PICRUSt. The operational taxonomic unit (OTU) was assigned at 97% sequence identity. A total of 2,496 OTUs were obtained, ranging from 585 to 1,239 in each sample. Forty-three phyla were identified due to the classifiable sequence. The most abundant phyla were Proteobacteria, Cyanobacteria, Tenericutes, Fusobacteria, Firmicutes, Verrucomicrobia, Bacteroidetes, Planctomycetes, Actinobacteria and…

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    Metagenomic analysis exploring taxonomic and functional diversity of soil microbial communities in Chilean vineyards and surrounding native forests

    Luis E. Castañeda, Olga Barbosa

    155 citationsOpen access (CC-BY)doi:10.7717/peerj.3098OpenAlex

    Show abstract

    Mediterranean biomes are biodiversity hotspots, and vineyards are important components of the Mediterranean landscape. Over the last few decades, the amount of land occupied by vineyards has augmented rapidly, thereby increasing threats to Mediterranean ecosystems. Land use change and agricultural management have important effects on soil biodiversity, because they change the physical and chemical properties of soil. These changes may also have consequences on wine production considering that soil is a key component of terroir . Here, we describe the taxonomic diversity and metabolic functions of bacterial and fungal communities present in forest and vineyard soils in Chile. To accomplish this goal, we collected soil samples from organic vineyards in central Chile and employed a shotgun metagenomic approach to sequence the microbial DNA. Additionally, we studied the surrounding native forest to obtain a baseline of the soil conditions in the area prior to the establishment of the vineyard. Our metagenomic analyses revealed that both habitats shared most of the soil microbial…

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    A longitudinal study of the diabetic skin and wound microbiome

    Melissa Gardiner, Mauro Vicaretti, Jill Sparks, Sunaina Bansal, Stephen Bush and 4 more

    145 citationsOpen access (CC-BY)doi:10.7717/peerj.3543OpenAlex

    Show abstract

    Background Type II diabetes is a chronic health condition which is associated with skin conditions including chronic foot ulcers and an increased incidence of skin infections. The skin microbiome is thought to play important roles in skin defence and immune functioning. Diabetes affects the skin environment, and this may perturb skin microbiome with possible implications for skin infections and wound healing. This study examines the skin and wound microbiome in type II diabetes. Methods Eight type II diabetic subjects with chronic foot ulcers were followed over a time course of 10 weeks, sampling from both foot skin (swabs) and wounds (swabs and debrided tissue) every two weeks. A control group of eight control subjects was also followed over 10 weeks, and skin swabs collected from the foot skin every two weeks. Samples were processed for DNA and subject to 16S rRNA gene PCR and sequencing of the V4 region. Results The diabetic skin microbiome was significantly less diverse than control skin. Community composition was also significantly different between diabetic and control skin,…

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    Epigenetic considerations in aquaculture

    Mackenzie R. Gavery, Steven Roberts

    143 citationsOpen access (CC-BY)doi:10.7717/peerj.4147OpenAlex

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    Epigenetics has attracted considerable attention with respect to its potential value in many areas of agricultural production, particularly under conditions where the environment can be manipulated or natural variation exists. Here we introduce key concepts and definitions of epigenetic mechanisms, including DNA methylation, histone modifications and non-coding RNA, review the current understanding of epigenetics in both fish and shellfish, and propose key areas of aquaculture where epigenetics could be applied. The first key area is environmental manipulation, where the intention is to induce an 'epigenetic memory' either within or between generations to produce a desired phenotype. The second key area is epigenetic selection, which, alone or combined with genetic selection, may increase the reliability of producing animals with desired phenotypes. Based on aspects of life history and husbandry practices in aquaculture species, the application of epigenetic knowledge could significantly affect the productivity and sustainability of aquaculture practices. Conversely, clarifying the…

  31. 31
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    In vitro effect of direct current electrical stimulation on rat mesenchymal stem cells

    Sahba Mobini, Liudmila P. Leppik, Vishnu Thottakkattumana Parameswaran, John Howard Barker

    141 citationsOpen access (CC-BY)doi:10.7717/peerj.2821OpenAlex

    Show abstract

    BACKGROUND: Electrical stimulation (ES) has been successfully used to treat bone defects clinically. Recently, both cellular and molecular approaches have demonstrated that ES can change cell behavior such as migration, proliferation and differentiation. METHODS: In the present study we exposed rat bone marrow- (BM-) and adipose tissue- (AT-) derived mesenchymal stem cells (MSCs) to direct current electrical stimulation (DC ES) and assessed temporal changes in osteogenic differentiation. We applied 100 mV/mm of DC ES for 1 h per day for three, seven and 14 days to cells cultivated in osteogenic differentiation medium and assessed viability and calcium deposition at the different time points. In addition, expression of osteogenic genes, Runx2, Osteopontin, and Col1A2 was assessed in BM- and AT-derived MSCs at the different time points. RESULTS: Results showed that ES changed osteogenic gene expression patterns in both BM- and AT-MSCs, and these changes differed between the two groups. In BM-MSCs, ES caused a significant increase in mRNA levels of Runx2, Osteopontin and Col1A2 at day…

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    Measurement of sedentary behaviour in population health surveys: a review and recommendations

    Stéphanie A. Prince, Allana G. LeBlanc, Rachel C. Colley, Travis John Saunders

    140 citationsOpen access (CC-BY)doi:10.7717/peerj.4130OpenAlex

    Show abstract

    BACKGROUND: The purpose of this review was to determine the most valid and reliable questions for targeting key modes of sedentary behaviour (SB) in a broad range of national and international health surveillance surveys. This was done by reviewing the SB modules currently used in population health surveys, as well as examining SB questionnaires that have performed well in psychometric testing. METHODS: Health surveillance surveys were identified via scoping review and contact with experts in the field. Previous systematic reviews provided psychometric information on pediatric questionnaires. A comprehensive search of four bibliographic databases was used to identify studies reporting psychometric information for adult questionnaires. Only surveys/studies published/used in English or French were included. RESULTS: The review identified a total of 16 pediatric and 18 adult national/international surveys assessing SB, few of which have undergone psychometric testing. Fourteen pediatric and 35 adult questionnaires with psychometric information were included. While reliability was…

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    Expanding our understanding of the trade in marine aquarium animals

    Andrew L. Rhyne, Michael F. Tlusty, Joseph T. Szczebak, Robert J. Holmberg

    140 citationsOpen access (CC-BY)doi:10.7717/peerj.2949OpenAlex

    Show abstract

    The trade of marine ornamental animals for home and public aquariums has grown into a major global industry. Since the 1990s, the aquarium hobby has shifted focus from fish to miniature reef ecosystems. Millions of marine fish and invertebrates are removed from coral reefs and associated habitats each year, and the majority are imported into the United States, with the remainder imported by Europe, Japan, and a handful of other countries. This shift in aquarium complexity demands increases in not only the volume but also the diversity of species harvested by collectors, who now must supply the trade with species sought for both aesthetics as well as ecosystem services (e.g., species that benefit the life support services of aquariums). Despite the recent growth and diversification of the aquarium trade, to date, data collection is not mandatory, and hence comprehensive information on species volume or diversity is wanting. The lack of this information makes it impossible to study trade pathways. Without species-specific volume and diversity data, it is unclear how importing and…

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    Segmentation and classification of colon glands with deep convolutional neural networks and total variation regularization

    Philipp Kainz, Michael Pfeiffer, Martin Urschler

    133 citationsOpen access (CC-BY)doi:10.7717/peerj.3874OpenAlex

    Show abstract

    Segmentation of histopathology sections is a necessary preprocessing step for digital pathology. Due to the large variability of biological tissue, machine learning techniques have shown superior performance over conventional image processing methods. Here we present our deep neural network-based approach for segmentation and classification of glands in tissue of benign and malignant colorectal cancer, which was developed to participate in the GlaS@MICCAI2015 colon gland segmentation challenge. We use two distinct deep convolutional neural networks (CNN) for pixel-wise classification of Hematoxylin-Eosin stained images. While the first classifier separates glands from background, the second classifier identifies gland-separating structures. In a subsequent step, a figure-ground segmentation based on weighted total variation produces the final segmentation result by regularizing the CNN predictions. We present both quantitative and qualitative segmentation results on the recently released and publicly available Warwick-QU colon adenocarcinoma dataset associated with the…

  35. 35
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    Broad spectrum pesticide application alters natural enemy communities and may facilitate secondary pest outbreaks

    Matthew P. Hill, Sarina Macfadyen, Michael Nash

    132 citationsOpen access (CC-BY)doi:10.7717/peerj.4179OpenAlex

    Show abstract

    BACKGROUND: Pesticide application is the dominant control method for arthropod pests in broad-acre arable systems. In Australia, organophosphate pesticides are often applied either prophylactically, or reactively, including at higher concentrations, to control crop establishment pests such as false wireworms and earth mite species. Organophosphates are reported to be disruptive to beneficial species, such as natural enemies, but this has not been widely assessed in Australian systems. Neither has the risk that secondary outbreaks may occur if the natural enemy community composition or function is altered. METHODS: We examine the abundance of ground-dwelling invertebrate communities in an arable field over successive seasons under rotation; barley, two years of wheat, then canola. Two organophosphates (chlorpyrifos and methidathion) were initially applied at recommended rates. After no discernible impact on target pest species, the rate for chlorpyrifos was doubled to elicit a definitive response to a level used at establishment when seedling damage is observed. Invertebrates were…

  36. 36
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    Relationships between consumption of ultra-processed foods, gestational weight gain and neonatal outcomes in a sample of US pregnant women

    Karthik Warke Rohatgi, Rachel A. Tinius, W. Todd Cade, Eurídice Martínez Steele, Alison G. Cahill and 1 more

    132 citationsOpen access (CC-BY)doi:10.7717/peerj.4091OpenAlex

    Show abstract

    Background An increasingly large share of diet comes from ultra-processed foods (UPFs), which are assemblages of food substances designed to create durable, convenient and palatable ready-to-eat products. There is increasing evidence that high UPF consumption is indicative of poor diet and is associated with obesity and metabolic disorders. This study sought to examine the relationship between percent of energy intake from ultra-processed foods (PEI-UPF) during pregnancy and maternal gestational weight gain, maternal lipids and glycemia, and neonatal body composition. We also compared the PEI-UPF indicator against the US government’s Healthy Eating Index-2010 (HEI-2010). Methods Data were used from a longitudinal study performed in 2013–2014 at the Women’s Health Center and Obstetrics & Gynecology Clinic in St. Louis, MO, USA. Subjects were pregnant women in the normal and obese weight ranges, as well as their newborns ( n = 45). PEI-UPF and the Healthy Eating Index-2010 (HEI-2010) were calculated for each subject from a one-month food frequency questionnaire (FFQ). Multiple…

  37. 37
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    Maxent-directed field surveys identify new populations of narrowly endemic habitat specialists

    Cody M. Rhoden, William Earl Peterman, Christopher A. Taylor

    130 citationsOpen access (CC-BY)doi:10.7717/peerj.3632OpenAlex

    Show abstract

    BACKGROUND: Rare or narrowly endemic organisms are difficult to monitor and conserve when their total distribution and habitat preferences are incompletely known. One method employed in determining distributions of these organisms is species distribution modeling (SDM). METHODS: Using two species of narrowly endemic burrowing crayfish species as our study organisms, we sought to ground validate Maxent, a commonly used program to conduct SDMs. We used fine scale (30 m) resolution rasters of pertinent habitat variables collected from historical museum records in 2014. We then ground validated the Maxent model in 2015 by randomly and equally sampling the output from the model. RESULTS: The Maxent models for both species of crayfish showed positive relationships between predicted relative occurrence rate and crayfish burrow abundance in both a Receiver Operating Characteristic and generalized linear model approach. The ground validation of Maxent led us to new populations and range extensions of both species of crayfish. DISCUSSION: We conclude that Maxent is a suitable tool for the…

  38. 38
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    Compacting and correcting Trinity and Oases RNA-Seq de novo assemblies

    Cédric Cabau, Fréderic Escudié, Anis Djari, Yann Guiguen, Julien Bobe and 1 more

    130 citationsOpen access (CC-BY)doi:10.7717/peerj.2988OpenAlex

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    Background De novo transcriptome assembly of short reads is now a common step in expression analysis of organisms lacking a reference genome sequence. Several software packages are available to perform this task. Even if their results are of good quality it is still possible to improve them in several ways including redundancy reduction or error correction. Trinity and Oases are two commonly used de novo transcriptome assemblers. The contig sets they produce are of good quality. Still, their compaction (number of contigs needed to represent the transcriptome) and their quality (chimera and nucleotide error rates) can be improved. Results We built a de novo RNA-Seq Assembly Pipeline (DRAP) which wraps these two assemblers (Trinity and Oases) in order to improve their results regarding the above-mentioned criteria. DRAP reduces from 1,3 to 15 fold the number of resulting contigs of the assemblies depending on the read set and the assembler used. This article presents seven assembly comparisons showing in some cases drastic improvements when using DRAP. DRAP does not significantly…

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    Plant growth-promoting endophytic bacteria versus pathogenic infections: an example ofBacillus amyloliquefaciensRWL-1 andFusarium oxysporumf. sp.lycopersiciin tomato

    Raheem Shahzad, Abdul Latif Khan, Saqib Bilal, Sajjad Asaf, In‐Jung Lee

    125 citationsOpen access (CC-BY)doi:10.7717/peerj.3107OpenAlex

    Show abstract

    Fungal pathogenic attacks are one of the major threats to the growth and productivity of crop plants. Currently, instead of synthetic fungicides, the use of plant growth-promoting bacterial endophytes has been considered intriguingly eco-friendly in nature. Here, we aimed to investigate the in vitro and in vivo antagonistic approach by using seed-borne endophyticBacillus amyloliquefaciensRWL-1 against pathogenicFusarium oxysporumf. sp.lycopersici. The results revealed significant suppression of pathogenic fungal growth byBacillus amyloliquefaciensin vitro. Further to this, we inoculated tomato plants with RWL-1 andF. oxysporumf. sp.lycopersiciin the root zone. The results showed that the growth attributes and biomass were significantly enhanced by endophytic-inoculation during disease incidence as compared toF. oxysporumf. sp.lycopersiciinfected plants. Under pathogenic infection, the RWL-1-applied plants showed increased amino acid metabolism of cell wall related (e.g., aspartic acid, glutamic acid, serine (Ser), and proline (Pro)) as compared to diseased plants. In case of…

  40. 40
    top 3%

    Lectins: an effective tool for screening of potential cancer biomarkers

    Onn Haji Hashim, Jaime Jacqueline Jayapalan, Cheng-Siang Lee

    118 citationsOpen access (CC-BY)doi:10.7717/peerj.3784OpenAlex

    Show abstract

    In recent years, the use of lectins for screening of potential biomarkers has gained increased importance in cancer research, given the development in glycobiology that highlights altered structural changes of glycans in cancer associated processes. Lectins, having the properties of recognizing specific carbohydrate moieties of glycoconjugates, have become an effective tool for detection of new cancer biomarkers in complex bodily fluids and tissues. The specificity of lectins provides an added advantage of selecting peptides that are differently glycosylated and aberrantly expressed in cancer patients, many of which are not possibly detected using conventional methods because of their low abundance in bodily fluids. When coupled with mass spectrometry, research utilizing lectins, which are mainly from plants and fungi, has led to identification of numerous potential cancer biomarkers that may be used in the future. This article reviews lectin-based methods that are commonly adopted in cancer biomarker discovery research.

  41. 41
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    Sympathy for the devil: a conservation strategy for devil and manta rays

    Julia M. Lawson, Rachel H.L. Walls, Sonja V. Fordham, Mary P O'Malley, Michelle RaNae Heupel and 9 more

    118 citationsOpen access (CC-BY)doi:10.7717/peerj.3027OpenAlex

    Show abstract

    BACKGROUND: , "Fish Gill of Mobulid Ray") from devil and manta rays (subfamily Mobulinae, collectively referred to as mobulids) poses a significant threat to these marine fishes because of their extremely low productivity. The demand for these gill plates has driven an international trade supplied by largely unmonitored and unregulated catches from target and incidental fisheries around the world. Scientific research, conservation campaigns, and legal protections for devil rays have lagged behind those for manta rays despite similar threats across all mobulids. METHODS: To investigate the difference in attention given to devil rays and manta rays, we examined trends in the scientific literature and updated species distribution maps for all mobulids. Using available information on target and incidental fisheries, and gathering information on fishing and trade regulations (at international, national, and territorial levels), we examined how threats and protective measures overlap with species distribution. We then used a species conservation planning approach to develop the Global…

  42. 42
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    Tartrazine induces structural and functional aberrations and genotoxic effects in vivo

    Latifa Ishaq Khayyat, Amina E. Essawy, Jehan Sorour, Ahmed Abdelmagied Soffar

    117 citationsOpen access (CC-BY)doi:10.7717/peerj.3041OpenAlex

    Show abstract

    Tartrazine is a synthetic organic azo dye widely used in food and pharmaceutical products. The current study aimed to evaluate the possible adverse effect of this coloring food additive on renal and hepatic structures and functions. Also, the genotoxic potential of tartrazine on white blood cells was investigated using comet assay. Twenty adult male Wistar rats were grouped into two groups of 10 each, control- and tartrazine-treated groups. The control group was administered orally with water alone. The experimental group was administered orally with tartrazine (7.5 mg/kg, b.wt.). Our results showed a marked increase in the levels of ALT, AST, ALP, urea, uric acid, creatinine, MDA and NO, and a decreased level of total antioxidants in the serum of rats dosed with tartrazine compared to controls. On the other hand, administration of tartrazine was associated with severe histopathological and cellular alterations of rat liver and kidney tissues and induced DNA damage in leucocytes as detected by comet assay. Taken together, the results showed that tartrazine intake may lead to adverse…

  43. 43
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    The earliest known titanosauriform sauropod dinosaur and the evolution of Brachiosauridae

    Philip D. Mannion, Ronan Allain, Olivier Moine

    116 citationsOpen access (CC-BY)doi:10.7717/peerj.3217OpenAlex

    Show abstract

    Brachiosauridae is a clade of titanosauriform sauropod dinosaurs that includes the well-known Late Jurassic taxa Brachiosaurus and Giraffatitan . However, there is disagreement over the brachiosaurid affinities of most other taxa, and little consensus regarding the clade’s composition or inter-relationships. An unnamed partial sauropod skeleton was collected from middle–late Oxfordian (early Late Jurassic) deposits in Damparis, in the Jura department of eastern France, in 1934. Since its brief description in 1943, this specimen has been informally known in the literature as the ‘Damparis sauropod’ and ‘French Bothriospondylus ’, and has been considered a brachiosaurid by most authors. If correctly identified, this would make the specimen the earliest known titanosauriform. Coupled with its relatively complete nature and the rarity of Oxfordian sauropod remains in general, this is an important specimen for understanding the early evolution of Titanosauriformes. Full preparation and description of this specimen, known from teeth, vertebrae and most of the appendicular skeleton of a…

  44. 44
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    Demographic, ecological, and physiological responses of ringed seals to an abrupt decline in sea ice availability

    Steven H. Ferguson, Brent G. Young, David J. Yurkowski, Randi Anderson, Cornelia Willing and 1 more

    115 citationsOpen access (CC-BY)doi:10.7717/peerj.2957OpenAlex

    Show abstract

    To assess whether demographic declines of Arctic species at the southern limit of their range will be gradual or punctuated, we compared large-scale environmental patterns including sea ice dynamics to ringed seal (Pusa hispida ) reproduction, body condition, recruitment, and stress in Hudson Bay from 2003-2013. Aerial surveys suggested a gradual decline in seal density from 1995-2013, with the lowest density occurring in 2013. Body condition decreased and stress (cortisol) increased over time in relation to longer open waterperiods. The 2010 open water period in Hudson Bay coincided with extremes in large-scale atmospheric patterns (NAO, AO, ENSO) resulting in the earliest spring breakup and the latest ice formation on record. The warming event was coincident with the highest stress levels and the lowest recorded ovulation rate and low pregnancy rate, few pups in the Inuit harvest, and observations of sick seals. We conclude that although negative demographic responses of Hudson Bay seals are occurring gradually with diminishing sea ice, a recent episodic environmental event played…

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    The Non-Recurrent Laryngeal Nerve: a meta-analysis and clinical considerations

    Brandon Michael Henry, Silvia Sanna, Matthew J. Graves, Jens Vikse, Beatrice Sanna and 4 more

    113 citationsOpen access (CC-BY)doi:10.7717/peerj.3012OpenAlex

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    Background The Non-Recurrent Laryngeal Nerve (NRLN) is a rare embryologically-derived variant of the Recurrent Laryngeal Nerve (RLN). The presence of an NRLN significantly increases the risk of iatrogenic injury and operative complications. Our aim was to provide a comprehensive meta-analysis of the overall prevalence of the NRLN, its origin, and its association with an aberrant subclavian artery. Methods Through March 2016, a database search was performed of PubMed, CNKI, ScienceDirect, EMBASE, BIOSIS, SciELO, and Web of Science. The references in the included articles were also extensively searched. At least two reviewers judged eligibility and assessed and extracted articles. MetaXL was used for analysis, with all pooled prevalence rates calculated using a random effects model. Heterogeneity among the included studies was assessed using the Chi 2 test and the I 2 statistic. Results Fifty-three studies (33,571 right RLNs) reported data on the prevalence of a right NRLN. The pooled prevalence estimate was 0.7% (95% CI [0.6–0.9]). The NRLN was found to originate from the vagus nerve…

  46. 46
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    Tolerance: the forgotten child of plant resistance

    Robert K Peterson, Andrea Corrêa Varella, Leon George Higley

    112 citationsOpen access (CC-BY)doi:10.7717/peerj.3934OpenAlex

    Show abstract

    Plant resistance against insect herbivory has greatly focused on antibiosis, whereby the plant has a deleterious effect on the herbivore, and antixenosis, whereby the plant is able to direct the herbivore away from it. Although these two types of resistance may reduce injury and yield loss, they can produce selection pressures on insect herbivores that lead to pest resistance. Tolerance, on the other hand, is a more sustainable pest management strategy because it involves only a plant response and therefore does not cause evolution of resistance in target pest populations. Despite its attractive attributes, tolerance has been poorly studied and understood. In this critical, interpretive review, we discuss tolerance to insect herbivory and the biological and socioeconomic factors that have limited its use in plant resistance and integrated pest management. First, tolerance is difficult to identify, and the mechanisms conferring it are poorly understood. Second, the genetics of tolerance are mostly unknown. Third, several obstacles hinder the establishment of high-throughput…

  47. 47
    top 3.5%

    Metabarcoding monitoring analysis: the pros and cons of using co-extracted environmental DNA and RNA data to assess offshore oil production impacts on benthic communities

    Olivier Laroche, Susanna A. Wood, Louis A. Tremblay, Gavin Lear, Joanne I. Ellis and 1 more

    112 citationsOpen access (CC-BY)doi:10.7717/peerj.3347OpenAlex

    Show abstract

    Sequencing environmental DNA (eDNA) is increasingly being used as an alternative to traditional morphological-based identification to characterize biological assemblages and monitor anthropogenic impacts in marine environments. Most studies only assess eDNA which, compared to eRNA, can persist longer in the environment after cell death. Therefore, eRNA may provide a more immediate census of the environment due to its relatively weaker stability, leading some researchers to advocate for the use of eRNA as an additional, or perhaps superior proxy for portraying ecological changes. A variety of pre-treatment techniques for screening eDNA and eRNA derived operational taxonomic units (OTUs) have been employed prior to statistical analyses, including removing singleton taxa (i.e., OTUs found only once) and discarding those not present in both eDNA and eRNA datasets. In this study, we used bacterial (16S ribosomal RNA gene) and eukaryotic (18S ribosomal RNA gene) eDNA- and eRNA-derived data from benthic communities collected at increasing distances along a transect from an oil production…

  48. 48
    top 3.6%

    Phylogenetic factorization of compositional data yields lineage-level associations in microbiome datasets

    Alex Washburne, Justin D. Silverman, Jonathan W. Leff, Dominic J. Bennett, John L. Darcy and 3 more

    110 citationsOpen access (CC-BY)doi:10.7717/peerj.2969OpenAlex

    Show abstract

    Marker gene sequencing of microbial communities has generated big datasets of microbial relative abundances varying across environmental conditions, sample sites and treatments. These data often come with putative phylogenies, providing unique opportunities to investigate how shared evolutionary history affects microbial abundance patterns. Here, we present a method to identify the phylogenetic factors driving patterns in microbial community composition. We use the method, "phylofactorization," to re-analyze datasets from the human body and soil microbial communities, demonstrating how phylofactorization is a dimensionality-reducing tool, an ordination-visualization tool, and an inferential tool for identifying edges in the phylogeny along which putative functional ecological traits may have arisen.

  49. 49
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    Effect of the environment on horizontal gene transfer between bacteria and archaea

    Clara A. Fuchsman, R. Eric Collins, Gabrielle Rocap, William J. Brazelton

    109 citationsOpen access (CC-BY)doi:10.7717/peerj.3865OpenAlex

    Show abstract

    BACKGROUND: Horizontal gene transfer, the transfer and incorporation of genetic material between different species of organisms, has an important but poorly quantified role in the adaptation of microbes to their environment. Previous work has shown that genome size and the number of horizontally transferred genes are strongly correlated. Here we consider how genome size confuses the quantification of horizontal gene transfer because the number of genes an organism accumulates over time depends on its evolutionary history and ecological context (e.g., the nutrient regime for which it is adapted). RESULTS: We investigated horizontal gene transfer between archaea and bacteria by first counting reciprocal BLAST hits among 448 bacterial and 57 archaeal genomes to find shared genes. Then we used the DarkHorse algorithm, a probability-based, lineage-weighted method (Podell & Gaasterland, 2007), to identify potential horizontally transferred genes among these shared genes. By removing the effect of genome size in the bacteria, we have identified bacteria with unusually large numbers of…

  50. 50
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    Microbial communities in sediment from Zostera marina patches, but not the Z. marina leaf or root microbiomes, vary in relation to distance from patch edge

    Cassandra L. Ettinger, Sofie E. Voerman, Jenna Lang, John J. Stachowicz, Jonathan A. Eisen

    108 citationsOpen access (CC-BY)doi:10.7717/peerj.3246OpenAlex

    Show abstract

    Background Zostera marina (also known as eelgrass) is a foundation species in coastal and marine ecosystems worldwide and is a model for studies of seagrasses (a paraphyletic group in the order Alismatales ) that include all the known fully submerged marine angiosperms. In recent years, there has been a growing appreciation of the potential importance of the microbial communities (i.e., microbiomes) associated with various plant species. Here we report a study of variation in Z. marina microbiomes from a field site in Bodega Bay, CA. Methods We characterized and then compared the microbial communities of root, leaf and sediment samples (using 16S ribosomal RNA gene PCR and sequencing) and associated environmental parameters from the inside, edge and outside of a single subtidal Z. marina patch. Multiple comparative approaches were used to examine associations between microbiome features (e.g., diversity, taxonomic composition) and environmental parameters and to compare sample types and sites. Results Microbial communities differed significantly between sample types (root, leaf and…

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