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geneHummus: an R package to define gene families and their expression in legumes and beyond
BACKGROUND: During the last decade, plant biotechnological laboratories have sparked a monumental revolution with the rapid development of next sequencing technologies at affordable prices. Soon, these sequencing technologies and assembling of whole genomes will extend beyond the plant computational...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6639926/ https://www.ncbi.nlm.nih.gov/pubmed/31319791 http://dx.doi.org/10.1186/s12864-019-5952-2 |
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author | Die, Jose V. Elmassry, Moamen M. LeBlanc, Kimberly H. Awe, Olaitan I. Dillman, Allissa Busby, Ben |
author_facet | Die, Jose V. Elmassry, Moamen M. LeBlanc, Kimberly H. Awe, Olaitan I. Dillman, Allissa Busby, Ben |
author_sort | Die, Jose V. |
collection | PubMed |
description | BACKGROUND: During the last decade, plant biotechnological laboratories have sparked a monumental revolution with the rapid development of next sequencing technologies at affordable prices. Soon, these sequencing technologies and assembling of whole genomes will extend beyond the plant computational biologists and become commonplace within the plant biology disciplines. The current availability of large-scale genomic resources for non-traditional plant model systems (the so-called ‘orphan crops’) is enabling the construction of high-density integrated physical and genetic linkage maps with potential applications in plant breeding. The newly available fully sequenced plant genomes represent an incredible opportunity for comparative analyses that may reveal new aspects of genome biology and evolution. The analysis of the expansion and evolution of gene families across species is a common approach to infer biological functions. To date, the extent and role of gene families in plants has only been partially addressed and many gene families remain to be investigated. Manual identification of gene families is highly time-consuming and laborious, requiring an iterative process of manual and computational analysis to identify members of a given family, typically combining numerous BLAST searches and manually cleaning data. Due to the increasing abundance of genome sequences and the agronomical interest in plant gene families, the field needs a clear, automated annotation tool. RESULTS: Here, we present the geneHummus package, an R-based pipeline for the identification and characterization of plant gene families. The impact of this pipeline comes from a reduction in hands-on annotation time combined with high specificity and sensitivity in extracting only proteins from the RefSeq database and providing the conserved domain architectures based on SPARCLE. As a case study we focused on the auxin receptor factors gene (ARF) family in Cicer arietinum (chickpea) and other legumes. CONCLUSION: We anticipate that our pipeline should be suitable for any taxonomic plant family, and likely other gene families, vastly improving the speed and ease of genomic data processing. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12864-019-5952-2) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-6639926 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-66399262019-07-29 geneHummus: an R package to define gene families and their expression in legumes and beyond Die, Jose V. Elmassry, Moamen M. LeBlanc, Kimberly H. Awe, Olaitan I. Dillman, Allissa Busby, Ben BMC Genomics Software BACKGROUND: During the last decade, plant biotechnological laboratories have sparked a monumental revolution with the rapid development of next sequencing technologies at affordable prices. Soon, these sequencing technologies and assembling of whole genomes will extend beyond the plant computational biologists and become commonplace within the plant biology disciplines. The current availability of large-scale genomic resources for non-traditional plant model systems (the so-called ‘orphan crops’) is enabling the construction of high-density integrated physical and genetic linkage maps with potential applications in plant breeding. The newly available fully sequenced plant genomes represent an incredible opportunity for comparative analyses that may reveal new aspects of genome biology and evolution. The analysis of the expansion and evolution of gene families across species is a common approach to infer biological functions. To date, the extent and role of gene families in plants has only been partially addressed and many gene families remain to be investigated. Manual identification of gene families is highly time-consuming and laborious, requiring an iterative process of manual and computational analysis to identify members of a given family, typically combining numerous BLAST searches and manually cleaning data. Due to the increasing abundance of genome sequences and the agronomical interest in plant gene families, the field needs a clear, automated annotation tool. RESULTS: Here, we present the geneHummus package, an R-based pipeline for the identification and characterization of plant gene families. The impact of this pipeline comes from a reduction in hands-on annotation time combined with high specificity and sensitivity in extracting only proteins from the RefSeq database and providing the conserved domain architectures based on SPARCLE. As a case study we focused on the auxin receptor factors gene (ARF) family in Cicer arietinum (chickpea) and other legumes. CONCLUSION: We anticipate that our pipeline should be suitable for any taxonomic plant family, and likely other gene families, vastly improving the speed and ease of genomic data processing. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12864-019-5952-2) contains supplementary material, which is available to authorized users. BioMed Central 2019-07-18 /pmc/articles/PMC6639926/ /pubmed/31319791 http://dx.doi.org/10.1186/s12864-019-5952-2 Text en © The Author(s). 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Software Die, Jose V. Elmassry, Moamen M. LeBlanc, Kimberly H. Awe, Olaitan I. Dillman, Allissa Busby, Ben geneHummus: an R package to define gene families and their expression in legumes and beyond |
title | geneHummus: an R package to define gene families and their expression in legumes and beyond |
title_full | geneHummus: an R package to define gene families and their expression in legumes and beyond |
title_fullStr | geneHummus: an R package to define gene families and their expression in legumes and beyond |
title_full_unstemmed | geneHummus: an R package to define gene families and their expression in legumes and beyond |
title_short | geneHummus: an R package to define gene families and their expression in legumes and beyond |
title_sort | genehummus: an r package to define gene families and their expression in legumes and beyond |
topic | Software |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6639926/ https://www.ncbi.nlm.nih.gov/pubmed/31319791 http://dx.doi.org/10.1186/s12864-019-5952-2 |
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