Subsampling and DNA pooling can increase gains through genomic selection in switchgrass

Abstract Genomic selection (GS) can accelerate breeding cycles in perennial crops such as the bioenergy grass switchgrass (Panicum virgatum L.). The sequencing costs of GS can be reduced by pooling DNA samples in the training population (TP), only sequencing TP phenotypic outliers, or pooling candid...

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Autores principales: Neal Wepking Tilhou, Michael D. Casler
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Lenguaje:EN
Publicado: Wiley 2021
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Acceso en línea:https://doaj.org/article/442dda4c1e434735a44130a167b19cc5
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spelling oai:doaj.org-article:442dda4c1e434735a44130a167b19cc52021-12-05T07:50:12ZSubsampling and DNA pooling can increase gains through genomic selection in switchgrass1940-337210.1002/tpg2.20149https://doaj.org/article/442dda4c1e434735a44130a167b19cc52021-11-01T00:00:00Zhttps://doi.org/10.1002/tpg2.20149https://doaj.org/toc/1940-3372Abstract Genomic selection (GS) can accelerate breeding cycles in perennial crops such as the bioenergy grass switchgrass (Panicum virgatum L.). The sequencing costs of GS can be reduced by pooling DNA samples in the training population (TP), only sequencing TP phenotypic outliers, or pooling candidate population (CP) samples. These strategies were simulated for two traits (spring vigor and anthesis date) in three breeding populations. Sequencing only the outlier 50% of the TP phenotype distribution resulted in a penalty of <5% of the predictive ability, measured using cross‐validation. Predictive ability also decreased when sequencing progressively fewer TP DNA pools, but TPs constructed from only two phenotypically contrasting DNA samples retained a mean of >80% predictive ability relative to individual TP sequencing. Novel group testing methods allowed greater than one CP individual to be screened per sequenced DNA sample but resulted in a predictive ability penalty. To determine the impact of reduced sequencing, genetic gain was calculated for seven GS scenarios with variable sequencing budgets. Reduced TP sequencing and most CP pooling methods were superior to individual sequence‐based GS when sequencing resources were restricted (2,000 DNA samples per 5‐yr cycle). Only one scenario was superior to individual sequencing when sequencing budgets were large (8,000 DNA samples per 5‐yr cycle). This study highlights multiple routes for reduced sequencing costs in GS.Neal Wepking TilhouMichael D. CaslerWileyarticlePlant cultureSB1-1110GeneticsQH426-470ENThe Plant Genome, Vol 14, Iss 3, Pp n/a-n/a (2021)
institution DOAJ
collection DOAJ
language EN
topic Plant culture
SB1-1110
Genetics
QH426-470
spellingShingle Plant culture
SB1-1110
Genetics
QH426-470
Neal Wepking Tilhou
Michael D. Casler
Subsampling and DNA pooling can increase gains through genomic selection in switchgrass
description Abstract Genomic selection (GS) can accelerate breeding cycles in perennial crops such as the bioenergy grass switchgrass (Panicum virgatum L.). The sequencing costs of GS can be reduced by pooling DNA samples in the training population (TP), only sequencing TP phenotypic outliers, or pooling candidate population (CP) samples. These strategies were simulated for two traits (spring vigor and anthesis date) in three breeding populations. Sequencing only the outlier 50% of the TP phenotype distribution resulted in a penalty of <5% of the predictive ability, measured using cross‐validation. Predictive ability also decreased when sequencing progressively fewer TP DNA pools, but TPs constructed from only two phenotypically contrasting DNA samples retained a mean of >80% predictive ability relative to individual TP sequencing. Novel group testing methods allowed greater than one CP individual to be screened per sequenced DNA sample but resulted in a predictive ability penalty. To determine the impact of reduced sequencing, genetic gain was calculated for seven GS scenarios with variable sequencing budgets. Reduced TP sequencing and most CP pooling methods were superior to individual sequence‐based GS when sequencing resources were restricted (2,000 DNA samples per 5‐yr cycle). Only one scenario was superior to individual sequencing when sequencing budgets were large (8,000 DNA samples per 5‐yr cycle). This study highlights multiple routes for reduced sequencing costs in GS.
format article
author Neal Wepking Tilhou
Michael D. Casler
author_facet Neal Wepking Tilhou
Michael D. Casler
author_sort Neal Wepking Tilhou
title Subsampling and DNA pooling can increase gains through genomic selection in switchgrass
title_short Subsampling and DNA pooling can increase gains through genomic selection in switchgrass
title_full Subsampling and DNA pooling can increase gains through genomic selection in switchgrass
title_fullStr Subsampling and DNA pooling can increase gains through genomic selection in switchgrass
title_full_unstemmed Subsampling and DNA pooling can increase gains through genomic selection in switchgrass
title_sort subsampling and dna pooling can increase gains through genomic selection in switchgrass
publisher Wiley
publishDate 2021
url https://doaj.org/article/442dda4c1e434735a44130a167b19cc5
work_keys_str_mv AT nealwepkingtilhou subsamplinganddnapoolingcanincreasegainsthroughgenomicselectioninswitchgrass
AT michaeldcasler subsamplinganddnapoolingcanincreasegainsthroughgenomicselectioninswitchgrass
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