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AveDissR: An R function for assessing genetic distinctness and genetic redundancy(1)
PREMISE OF THE STUDY: Assessing genetic distinctness or redundancy is an important part of plant germplasm characterization. We previously introduced a new marker-based approach using the average dissimilarity of an accession to assess genetic distinctness or redundancy. However, this approach has n...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Botanical Society of America
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5546164/ https://www.ncbi.nlm.nih.gov/pubmed/28791204 http://dx.doi.org/10.3732/apps.1700018 |
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author | Yang, Mo-Hua Fu, Yong-Bi |
author_facet | Yang, Mo-Hua Fu, Yong-Bi |
author_sort | Yang, Mo-Hua |
collection | PubMed |
description | PREMISE OF THE STUDY: Assessing genetic distinctness or redundancy is an important part of plant germplasm characterization. We previously introduced a new marker-based approach using the average dissimilarity of an accession to assess genetic distinctness or redundancy. However, this approach has not been widely applied, largely due to the lack of software to integrate separate analyses involving dissimilarity calculation, analysis of molecular variance, and principal coordinates analysis. METHODS AND RESULTS: An R function, AveDissR, was developed to integrate three separate analyses into one package for assessing genetic distinctness or redundancy. It can analyze large data sets of dominant or codominant markers such as amplified fragment length polymorphisms (AFLPs), simple sequence repeats (SSRs), or single-nucleotide polymorphisms (SNPs), generate a useful set of output files for germplasm assessment, and run in an R environment on any computer platform. CONCLUSIONS: AveDissR can make the assessment of genetic distinctness or redundancy in plant germplasm more feasible and useful. |
format | Online Article Text |
id | pubmed-5546164 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Botanical Society of America |
record_format | MEDLINE/PubMed |
spelling | pubmed-55461642017-08-08 AveDissR: An R function for assessing genetic distinctness and genetic redundancy(1) Yang, Mo-Hua Fu, Yong-Bi Appl Plant Sci Software Note PREMISE OF THE STUDY: Assessing genetic distinctness or redundancy is an important part of plant germplasm characterization. We previously introduced a new marker-based approach using the average dissimilarity of an accession to assess genetic distinctness or redundancy. However, this approach has not been widely applied, largely due to the lack of software to integrate separate analyses involving dissimilarity calculation, analysis of molecular variance, and principal coordinates analysis. METHODS AND RESULTS: An R function, AveDissR, was developed to integrate three separate analyses into one package for assessing genetic distinctness or redundancy. It can analyze large data sets of dominant or codominant markers such as amplified fragment length polymorphisms (AFLPs), simple sequence repeats (SSRs), or single-nucleotide polymorphisms (SNPs), generate a useful set of output files for germplasm assessment, and run in an R environment on any computer platform. CONCLUSIONS: AveDissR can make the assessment of genetic distinctness or redundancy in plant germplasm more feasible and useful. Botanical Society of America 2017-07-24 /pmc/articles/PMC5546164/ /pubmed/28791204 http://dx.doi.org/10.3732/apps.1700018 Text en © 2017 Yang and Fu. Published by the Botanical Society of America https://creativecommons.org/licenses/by-nc-sa/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (CC-BY-NC-SA 4.0 (https://creativecommons.org/licenses/by-nc-sa/4.0/) ), which permits unrestricted noncommercial use and redistribution provided that the original author and source are credited and the new work is distributed under the same license as the original. |
spellingShingle | Software Note Yang, Mo-Hua Fu, Yong-Bi AveDissR: An R function for assessing genetic distinctness and genetic redundancy(1) |
title | AveDissR: An R function for assessing genetic distinctness and genetic redundancy(1) |
title_full | AveDissR: An R function for assessing genetic distinctness and genetic redundancy(1) |
title_fullStr | AveDissR: An R function for assessing genetic distinctness and genetic redundancy(1) |
title_full_unstemmed | AveDissR: An R function for assessing genetic distinctness and genetic redundancy(1) |
title_short | AveDissR: An R function for assessing genetic distinctness and genetic redundancy(1) |
title_sort | avedissr: an r function for assessing genetic distinctness and genetic redundancy(1) |
topic | Software Note |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5546164/ https://www.ncbi.nlm.nih.gov/pubmed/28791204 http://dx.doi.org/10.3732/apps.1700018 |
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