Applications in Plant Sciences最新文献

{"title":"Correction to GOgetter: A pipeline for summarizing and visualizing GO slim annotations for plant genetic data","authors":"","doi":"10.1002/aps3.11544","DOIUrl":"10.1002/aps3.11544","url":null,"abstract":"<p>Sessa, E. B., R. R. Masalia, N. Arrigo, M. S. Barker, and J. A. Pelosi. 2023. GOgetter: A pipeline for summarizing and visualizing GO slim annotations for plant genetic data. <i>Applications in Plant Sciences</i> 11(4): e11536.</p><p>In the Acknowledgments, a grant number was left out of the sentence “Funding was provided by the National Science Foundation (DEB #1844930 to E.B.S.).” This should have read “Funding was provided by the National Science Foundation (DEB #1844930 and IOS #2310485 to E.B.S.).”</p><p>We apologize for this error.</p>","PeriodicalId":8022,"journal":{"name":"Applications in Plant Sciences","volume":"11 5","pages":""},"PeriodicalIF":3.6,"publicationDate":"2023-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41986151","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"RootBot: High-throughput root stress phenotyping robot","authors":"Mia Ruppel,&nbsp;Sven K. Nelson,&nbsp;Grace Sidberry,&nbsp;Madison Mitchell,&nbsp;Daniel Kick,&nbsp;Shawn K. Thomas,&nbsp;Katherine E. Guill,&nbsp;Melvin J. Oliver,&nbsp;Jacob D. Washburn","doi":"10.1002/aps3.11541","DOIUrl":"10.1002/aps3.11541","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Premise</h3>\u0000 \u0000 <p>Higher temperatures across the globe are causing an increase in the frequency and severity of droughts. In agricultural crops, this results in reduced yields, financial losses, and increased food costs at the supermarket. Root growth maintenance in drying soils plays a major role in a plant's ability to survive and perform under drought, but phenotyping root growth is extremely difficult due to roots being under the soil.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods and Results</h3>\u0000 \u0000 <p>RootBot is an automated high-throughput phenotyping robot that eliminates many of the difficulties and reduces the time required for performing drought-stress studies on primary roots. RootBot simulates root growth conditions using transparent plates to create a gap that is filled with soil and polyethylene glycol (PEG) to simulate low soil moisture. RootBot has a gantry system with vertical slots to hold the transparent plates, which theoretically allows for evaluating more than 50 plates at a time. Software pipelines were also co-opted, developed, tested, and extensively refined for running the RootBot imaging process, storing and organizing the images, and analyzing and extracting data.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusions</h3>\u0000 \u0000 <p>The RootBot platform and the lessons learned from its design and testing represent a valuable resource for better understanding drought tolerance mechanisms in roots, as well as for identifying breeding and genetic engineering targets for crop plants.</p>\u0000 </section>\u0000 </div>","PeriodicalId":8022,"journal":{"name":"Applications in Plant Sciences","volume":"11 6","pages":""},"PeriodicalIF":3.6,"publicationDate":"2023-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://bsapubs.onlinelibrary.wiley.com/doi/epdf/10.1002/aps3.11541","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41711925","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Correction to “A comparison of freezer-stored DNA and herbarium tissue samples for chloroplast assembly and genome skimming”","authors":"","doi":"10.1002/aps3.11540","DOIUrl":"10.1002/aps3.11540","url":null,"abstract":"<p>McAssey, E. V., Downs, C., Yorkston, M., Morden, C., and Heyduk, K. 2023. A comparison of freezer-stored DNA and herbarium tissue samples for chloroplast assembly and genome skimming. <i>Applications in Plant Sciences</i> 11(3): e11527</p><p>A statistical error was found after article publication. The relevant text from the Results section is provided below, with the corrected values shown in bold text. The error does not affect the findings of the study.</p><p>“Herbarium tissue library samples had significantly smaller insert sizes of mapped chloroplast reads compared to their freezer-stored DNA paired samples, taking into account covariates of read numbers and year (<b><i>F</i>_1,25 = 229.243</b>, <i><b>P</b></i> &lt; <b>0.001</b>). There was also a significant interaction effect between library size and sampling year (<b><i>F</i>_1,25 = 9.753</b>, <i>P</i> &lt; 0.01). Similarly, herbarium tissue samples also had higher amounts of adapter sequences in the reads (<b><i>F</i>_1,25 = 85.009</b>, <i>P</i> &lt; 0.001), with sampling year a significant covariate in the model (<b><i>F</i>_1,25 = 6.378</b>, <i>P</i> &lt; 0.05).”</p><p>We apologize for this error.</p>","PeriodicalId":8022,"journal":{"name":"Applications in Plant Sciences","volume":"11 4","pages":""},"PeriodicalIF":3.6,"publicationDate":"2023-08-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10439819/pdf/APS3-11-e11540.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10034571","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Using photogrammetry to create virtual permanent plots in rare and threatened plant communities","authors":"Andrea J. Tirrell,&nbsp;Aaron E. Putnam,&nbsp;Michael I. J. Cianchette,&nbsp;Jacquelyn L. Gill","doi":"10.1002/aps3.11534","DOIUrl":"10.1002/aps3.11534","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Premise</h3>\u0000 \u0000 <p>Many plant communities across the world are undergoing changes due to climate change, human disturbance, and other threats. These community-level changes are often tracked with the use of permanent vegetative plots, but this approach is not always feasible. As an alternative, we propose using photogrammetry, specifically photograph-based digital surface models (DSMs) developed using structure-from-motion, to establish virtual permanent plots in plant communities where the use of permanent structures may not be possible.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>In 2021 and 2022, we took iPhone photographs to record species presence in 1-m² plots distributed across alpine communities in the northeastern United States. We then compared field estimates of percent coverage with coverage estimated using DSMs.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>Digital surface models can provide effective, minimally invasive, and permanent records of plant species presence and percent coverage, while also allowing managers to mark survey locations virtually for long-term monitoring. We found that percent coverage estimated from DSMs did not differ from field estimates for most species and substrates.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Discussion</h3>\u0000 \u0000 <p>In order to continue surveying efforts in areas where permanent structures or other surveying methods are not feasible, photogrammetry and structure-from-motion methods can provide a low-cost approach that allows agencies to accurately survey and record sensitive plant communities through time.</p>\u0000 </section>\u0000 </div>","PeriodicalId":8022,"journal":{"name":"Applications in Plant Sciences","volume":"11 5","pages":""},"PeriodicalIF":3.6,"publicationDate":"2023-08-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42880432","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"GOgetter: A pipeline for summarizing and visualizing GO slim annotations for plant genetic data","authors":"Emily B. Sessa,&nbsp;Rishi R. Masalia,&nbsp;Nils Arrigo,&nbsp;Michael S. Barker,&nbsp;Jessie A. Pelosi","doi":"10.1002/aps3.11536","DOIUrl":"10.1002/aps3.11536","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Premise</h3>\u0000 \u0000 <p>The functional annotation of genes is a crucial component of genomic analyses. A common way to summarize functional annotations is with hierarchical gene ontologies, such as the Gene Ontology (GO) Resource. GO includes information about the cellular location, molecular function(s), and products/processes that genes produce or are involved in. For a set of genes, summarizing GO annotations using pre-defined, higher-order terms (GO slims) is often desirable in order to characterize the overall function of the data set, and it is impractical to do this manually.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods and Results</h3>\u0000 \u0000 <p>The GOgetter pipeline consists of bash and Python scripts. From an input FASTA file of nucleotide gene sequences, it outputs text and image files that list (1) the best hit for each input gene in a set of reference gene models, (2) all GO terms and annotations associated with those hits, and (3) a summary and visualization of GO slim categories for the data set. These output files can be queried further and analyzed statistically, depending on the downstream need(s).</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusions</h3>\u0000 \u0000 <p>GO annotations are a widely used “universal language” for describing gene functions and products. GOgetter is a fast and easy-to-implement pipeline for obtaining, summarizing, and visualizing GO slim categories associated with a set of genes.</p>\u0000 </section>\u0000 </div>","PeriodicalId":8022,"journal":{"name":"Applications in Plant Sciences","volume":"11 4","pages":""},"PeriodicalIF":3.6,"publicationDate":"2023-08-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://bsapubs.onlinelibrary.wiley.com/doi/epdf/10.1002/aps3.11536","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10052130","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Target capture and genome skimming for plant diversity studies","authors":"Flávia Fonseca Pezzini,&nbsp;Giada Ferrari,&nbsp;Laura L. Forrest,&nbsp;Michelle L. Hart,&nbsp;Kanae Nishii,&nbsp;Catherine A. Kidner","doi":"10.1002/aps3.11537","DOIUrl":"10.1002/aps3.11537","url":null,"abstract":"<p>Recent technological advances in long-read high-throughput sequencing and assembly methods have facilitated the generation of annotated chromosome-scale whole-genome sequence data for evolutionary studies; however, generating such data can still be difficult for many plant species. For example, obtaining high-molecular-weight DNA is typically impossible for samples in historical herbarium collections, which often have degraded DNA. The need to fast-freeze newly collected living samples to conserve high-quality DNA can be complicated when plants are only found in remote areas. Therefore, short-read reduced-genome representations, such as target capture and genome skimming, remain important for evolutionary studies. Here, we review the pros and cons of each technique for non-model plant taxa. We provide guidance related to logistics, budget, the genomic resources previously available for the target clade, and the nature of the study. Furthermore, we assess the available bioinformatic analyses, detailing best practices and pitfalls, and suggest pathways to combine newly generated data with legacy data. Finally, we explore the possible downstream analyses allowed by the type of data generated using each technique. We provide a practical guide to help researchers make the best-informed choice regarding reduced genome representation for evolutionary studies of non-model plants in cases where whole-genome sequencing remains impractical.</p>","PeriodicalId":8022,"journal":{"name":"Applications in Plant Sciences","volume":"11 4","pages":""},"PeriodicalIF":3.6,"publicationDate":"2023-08-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/bb/3e/APS3-11-e11537.PMC10439825.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10356348","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Making sense of complexity: Advances in bioinformatics for plant biology","authors":"Katie Emelianova,&nbsp;Diego Mauricio Riaño-Pachón,&nbsp;Maria Fernanda Torres Jimenez","doi":"10.1002/aps3.11538","DOIUrl":"10.1002/aps3.11538","url":null,"abstract":"&lt;p&gt;Coined by Dutch theoretical biologists in the 1970s, the term bioinformatics originally denoted a broad concept relating to the study of information processing in biological systems, such as ecosystem interaction, neuronal messaging, and transfer of genetic information (Hogeweg, &lt;span&gt;2011&lt;/span&gt;). Subsequently co-opted to describe the sequencing and analysis of molecules (from nucleic acids to proteins), bioinformatics has diverse applications including the analysis, visualization, storage, and generation of data relating to living organisms and the molecular information they carry. Plant biology has reaped dividends from the development and maturation of bioinformatics; it has not only extended our understanding of model plant species such as &lt;i&gt;Arabidopsis thaliana&lt;/i&gt; (Cantó-Pastor et al., &lt;span&gt;2021&lt;/span&gt;) but also driven innovative solutions to characterize non-model species (Nevado et al., &lt;span&gt;2014&lt;/span&gt;). Both avenues of discovery contribute to key objectives in improving food security, conservation, and biotechnology.&lt;/p&gt;&lt;p&gt;The size and complexity of many plant genomes has historically made their analysis financially and computationally difficult. Frequent polyploidy and repeat element expansion make the elucidation of plant genome sequences challenging (Soltis et al., &lt;span&gt;2015&lt;/span&gt;). Furthermore, high heterozygosity in wild populations, pervasive hybridization, and a lack of inbred lines present roadblocks to analyses such as read mapping and assembly (Kajitani et al., &lt;span&gt;2019&lt;/span&gt;). Long-read technologies have become ever more accessible in recent years, and algorithmic advances have accommodated sequential updates to error models, read lengths, and library types (Michael and VanBuren, &lt;span&gt;2020&lt;/span&gt;). Moreover, novel methods to scaffold contigs and obtain long-range interaction information have driven impressive improvements in genome assembly quality, making telomere-to-telomere genome sequencing projects an achievable goal for many labs (Kress et al., &lt;span&gt;2022&lt;/span&gt;).&lt;/p&gt;&lt;p&gt;Long-read technologies paired with novel mapping algorithms have fueled discovery of new transposable element (TE) dynamics, and there has been an associated resurgence of interest in their role in adaptive trait evolution and phenotypic variation (Schrader and Schmitz, &lt;span&gt;2019&lt;/span&gt;; Pimpinelli and Piacentini, &lt;span&gt;2020&lt;/span&gt;). Bioinformatics developments in this field have led to vast improvements in our ability to detect complex TE mobilization patterns such as nested insertions and structural variants (Bree et al., &lt;span&gt;2022&lt;/span&gt;; Lemay et al., &lt;span&gt;2022&lt;/span&gt;). Despite these advancements, characterization and annotation of genomic features such as genes and repetitive elements remain challenging due to species-specific genomic configurations, taxonomically patchy reference databases, and a lack of robust benchmarking and quality control. While structural and functional annotation methods still have significant obstacles to ov","PeriodicalId":8022,"journal":{"name":"Applications in Plant Sciences","volume":"11 4","pages":""},"PeriodicalIF":3.6,"publicationDate":"2023-08-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/aps3.11538","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44733584","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Welcome to the big leaves: Best practices for improving genome annotation in non-model plant genomes","authors":"Vidya S. Vuruputoor,&nbsp;Daniel Monyak,&nbsp;Karl C. Fetter,&nbsp;Cynthia Webster,&nbsp;Akriti Bhattarai,&nbsp;Bikash Shrestha,&nbsp;Sumaira Zaman,&nbsp;Jeremy Bennett,&nbsp;Susan L. McEvoy,&nbsp;Madison Caballero,&nbsp;Jill L. Wegrzyn","doi":"10.1002/aps3.11533","DOIUrl":"10.1002/aps3.11533","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Premise</h3>\u0000 \u0000 <p>Robust standards to evaluate quality and completeness are lacking in eukaryotic structural genome annotation, as genome annotation software is developed using model organisms and typically lacks benchmarking to comprehensively evaluate the quality and accuracy of the final predictions. The annotation of plant genomes is particularly challenging due to their large sizes, abundant transposable elements, and variable ploidies. This study investigates the impact of genome quality, complexity, sequence read input, and method on protein-coding gene predictions.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>The impact of repeat masking, long-read and short-read inputs, and de novo and genome-guided protein evidence was examined in the context of the popular BRAKER and MAKER workflows for five plant genomes. The annotations were benchmarked for structural traits and sequence similarity.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>Benchmarks that reflect gene structures, reciprocal similarity search alignments, and mono-exonic/multi-exonic gene counts provide a more complete view of annotation accuracy. Transcripts derived from RNA-read alignments alone are not sufficient for genome annotation. Gene prediction workflows that combine evidence-based and ab initio approaches are recommended, and a combination of short and long reads can improve genome annotation. Adding protein evidence from de novo assemblies, genome-guided transcriptome assemblies, or full-length proteins from OrthoDB generates more putative false positives as implemented in the current workflows. Post-processing with functional and structural filters is highly recommended.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Discussion</h3>\u0000 \u0000 <p>While the annotation of non-model plant genomes remains complex, this study provides recommendations for inputs and methodological approaches. We discuss a set of best practices to generate an optimal plant genome annotation and present a more robust set of metrics to evaluate the resulting predictions.</p>\u0000 </section>\u0000 </div>","PeriodicalId":8022,"journal":{"name":"Applications in Plant Sciences","volume":"11 4","pages":""},"PeriodicalIF":3.6,"publicationDate":"2023-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://bsapubs.onlinelibrary.wiley.com/doi/epdf/10.1002/aps3.11533","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10050062","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"LoCoLotive: In silico mining for low-copy nuclear loci based on target capture probe sets and arbitrary reference genomes","authors":"Ulrich Lautenschlager,&nbsp;Agnes Scheunert","doi":"10.1002/aps3.11535","DOIUrl":"10.1002/aps3.11535","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Premise</h3>\u0000 \u0000 <p>Universal target enrichment probe kits are used to circumvent the individual identification of loci suitable for phylogenetic studies in a given taxon. Under certain circumstances, however, target capture can be inefficient and costly, and lower numbers of marker loci may be sufficient. We therefore propose a computational pipeline that enables the easy identification of a subset of promising candidate loci for a taxon of interest.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods and Results</h3>\u0000 \u0000 <p>Target sequences used for probe design are filtered based on an assembled reference genome, resulting in presumably intron-containing single-copy loci as present in the reference taxon. The applicability of the proposed approach is demonstrated based on two probe kits (universal and family-specific) in combination with several publicly available reference genomes.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusions</h3>\u0000 \u0000 <p>Guided by commercial probe kits, LoCoLotive enables fast and cost-efficient marker mining. Its accuracy mainly depends on the quality of the reference genome and its relatedness to the taxa under study.</p>\u0000 </section>\u0000 </div>","PeriodicalId":8022,"journal":{"name":"Applications in Plant Sciences","volume":"11 6","pages":""},"PeriodicalIF":3.6,"publicationDate":"2023-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://bsapubs.onlinelibrary.wiley.com/doi/epdf/10.1002/aps3.11535","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46096480","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"hybpiper-nf and paragone-nf: Containerization and additional options for target capture assembly and paralog resolution","authors":"Chris Jackson,&nbsp;Todd McLay,&nbsp;Alexander N. Schmidt-Lebuhn","doi":"10.1002/aps3.11532","DOIUrl":"10.1002/aps3.11532","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Premise</h3>\u0000 \u0000 <p>The HybPiper pipeline has become one of the most widely used tools for the assembly of target capture data for phylogenomic analysis. After the production of locus sequences and before phylogenetic analysis, the identification of paralogs is a critical step for ensuring the accurate inference of evolutionary relationships. Algorithmic approaches using gene tree topologies for the inference of ortholog groups are computationally efficient and broadly applicable to non-model organisms, especially in the absence of a known species tree.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods and Results</h3>\u0000 \u0000 <p>We containerized and expanded the functionality of both HybPiper and a pipeline for the inference of ortholog groups, providing novel options for the treatment of target capture sequence data, and allowing seamless use of the outputs of the former as inputs for the latter. The Singularity container presented here includes all dependencies, and the corresponding pipelines (hybpiper-nf and paragone-nf, respectively) are implemented via two Nextflow scripts for easier deployment and to vastly reduce the number of commands required for their use.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusions</h3>\u0000 \u0000 <p>The hybpiper-nf and paragone-nf pipelines are easily installed and provide a user-friendly experience and robust results to the phylogenetic community. They are used by the Australian Angiosperm Tree of Life project. The pipelines are available at https://github.com/chrisjackson-pellicle/hybpiper-nf and https://github.com/chrisjackson-pellicle/paragone-nf.</p>\u0000 </section>\u0000 </div>","PeriodicalId":8022,"journal":{"name":"Applications in Plant Sciences","volume":"11 4","pages":""},"PeriodicalIF":3.6,"publicationDate":"2023-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/f4/1c/APS3-11-e11532.PMC10439820.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10046655","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}