Cargando…
Gamevar.f90: a software package for calculating individual gametic diversity
BACKGROUND: Traditional selection in livestock and crops focuses on additive genetic values or breeding values of the individuals. While traditional selection utilizes variation between individuals, differences between gametes within individuals have been less frequently exploited in selection progr...
Autores principales: | , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7060627/ https://www.ncbi.nlm.nih.gov/pubmed/32143564 http://dx.doi.org/10.1186/s12859-020-3417-x |
_version_ | 1783504273069309952 |
---|---|
author | de Abreu Santos, Daniel Jordan Cole, John B. Liu, George E. VanRaden, Paul M. Ma, Li |
author_facet | de Abreu Santos, Daniel Jordan Cole, John B. Liu, George E. VanRaden, Paul M. Ma, Li |
author_sort | de Abreu Santos, Daniel Jordan |
collection | PubMed |
description | BACKGROUND: Traditional selection in livestock and crops focuses on additive genetic values or breeding values of the individuals. While traditional selection utilizes variation between individuals, differences between gametes within individuals have been less frequently exploited in selection programs. With the successful implementation of genomic selection in livestock and crops, estimation and selection for gametic variation is becoming possible. RESULTS: The gamevar.f90 software is designed to estimate individual-level variance of genetic values of gametes for complex traits in large populations. The software estimates the (co)variances of gametic diversity as well as other diversity parameters that are useful for selection programs and mating designs. The calculation is carried out chromosome by chromosome and can be easily parallelized. The gamevar.f90 program is written in Fortran with efficient computing algorithms in a user-friendly software package with easily-handled input and output files. Finally, we applied the program to estimate gametic variance for hundreds of bulls for lifetime net merit, productive life, and livability. The RPTA (relative predicted transmitting ability), assuming a future selection intensity (i(f)) of 1.5, showed larger variance than GEBV/2, indicating that greater future genetic gains can be obtained using an index that includes gametic variances. We also used the relative coefficient of variation to estimate with 95% confidence the sample sizes required to observe 90% variability of the progeny for lifetime net merit (or to allow at maximum 10% of change in the EBV predicted from progeny data). CONCLUSIONS: Collectively, we develop an efficient computer program package, gamevar.f90, for estimating gametic variance for large numbers of individuals. The novel information on gametic variation will be useful in future animal and crop breeding programs. |
format | Online Article Text |
id | pubmed-7060627 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-70606272020-03-12 Gamevar.f90: a software package for calculating individual gametic diversity de Abreu Santos, Daniel Jordan Cole, John B. Liu, George E. VanRaden, Paul M. Ma, Li BMC Bioinformatics Software BACKGROUND: Traditional selection in livestock and crops focuses on additive genetic values or breeding values of the individuals. While traditional selection utilizes variation between individuals, differences between gametes within individuals have been less frequently exploited in selection programs. With the successful implementation of genomic selection in livestock and crops, estimation and selection for gametic variation is becoming possible. RESULTS: The gamevar.f90 software is designed to estimate individual-level variance of genetic values of gametes for complex traits in large populations. The software estimates the (co)variances of gametic diversity as well as other diversity parameters that are useful for selection programs and mating designs. The calculation is carried out chromosome by chromosome and can be easily parallelized. The gamevar.f90 program is written in Fortran with efficient computing algorithms in a user-friendly software package with easily-handled input and output files. Finally, we applied the program to estimate gametic variance for hundreds of bulls for lifetime net merit, productive life, and livability. The RPTA (relative predicted transmitting ability), assuming a future selection intensity (i(f)) of 1.5, showed larger variance than GEBV/2, indicating that greater future genetic gains can be obtained using an index that includes gametic variances. We also used the relative coefficient of variation to estimate with 95% confidence the sample sizes required to observe 90% variability of the progeny for lifetime net merit (or to allow at maximum 10% of change in the EBV predicted from progeny data). CONCLUSIONS: Collectively, we develop an efficient computer program package, gamevar.f90, for estimating gametic variance for large numbers of individuals. The novel information on gametic variation will be useful in future animal and crop breeding programs. BioMed Central 2020-03-06 /pmc/articles/PMC7060627/ /pubmed/32143564 http://dx.doi.org/10.1186/s12859-020-3417-x Text en © The Author(s). 2020 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 de Abreu Santos, Daniel Jordan Cole, John B. Liu, George E. VanRaden, Paul M. Ma, Li Gamevar.f90: a software package for calculating individual gametic diversity |
title | Gamevar.f90: a software package for calculating individual gametic diversity |
title_full | Gamevar.f90: a software package for calculating individual gametic diversity |
title_fullStr | Gamevar.f90: a software package for calculating individual gametic diversity |
title_full_unstemmed | Gamevar.f90: a software package for calculating individual gametic diversity |
title_short | Gamevar.f90: a software package for calculating individual gametic diversity |
title_sort | gamevar.f90: a software package for calculating individual gametic diversity |
topic | Software |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7060627/ https://www.ncbi.nlm.nih.gov/pubmed/32143564 http://dx.doi.org/10.1186/s12859-020-3417-x |
work_keys_str_mv | AT deabreusantosdanieljordan gamevarf90asoftwarepackageforcalculatingindividualgameticdiversity AT colejohnb gamevarf90asoftwarepackageforcalculatingindividualgameticdiversity AT liugeorgee gamevarf90asoftwarepackageforcalculatingindividualgameticdiversity AT vanradenpaulm gamevarf90asoftwarepackageforcalculatingindividualgameticdiversity AT mali gamevarf90asoftwarepackageforcalculatingindividualgameticdiversity |