Cargando…

Genomewide association study of ionomic traits on diverse soybean populations from germplasm collections

The elemental content of a soybean seed is a determined by both genetic and environmental factors and is an important component of its nutritional value. The elemental content is chemically stable, making the samples stored in germplasm repositories an intriguing source of experimental material. To...

Descripción completa

Detalles Bibliográficos
Autores principales: Ziegler, Greg, Nelson, Randall, Granada, Stephanie, Krishnan, Hari B., Gillman, Jason D., Baxter, Ivan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6508489/
https://www.ncbi.nlm.nih.gov/pubmed/31245681
http://dx.doi.org/10.1002/pld3.33
_version_ 1783417080787238912
author Ziegler, Greg
Nelson, Randall
Granada, Stephanie
Krishnan, Hari B.
Gillman, Jason D.
Baxter, Ivan
author_facet Ziegler, Greg
Nelson, Randall
Granada, Stephanie
Krishnan, Hari B.
Gillman, Jason D.
Baxter, Ivan
author_sort Ziegler, Greg
collection PubMed
description The elemental content of a soybean seed is a determined by both genetic and environmental factors and is an important component of its nutritional value. The elemental content is chemically stable, making the samples stored in germplasm repositories an intriguing source of experimental material. To test the efficacy of using samples from germplasm banks for gene discovery, we analyzed the elemental profile of seeds from 1,653 lines in the USDA Soybean Germplasm Collection. We observed large differences in the elemental profiles based on where the lines were grown, which lead us to break up the genetic analysis into multiple small experiments. Despite these challenges, we were able to identify candidate single nucleotide polymorphisms (SNPs) controlling elemental accumulation as well as lines with extreme elemental accumulation phenotypes. Our results suggest that elemental analysis of germplasm samples can identify SNPs in linkage disequilibrium to genes, which can be leveraged to assist in crop improvement efforts.
format Online
Article
Text
id pubmed-6508489
institution National Center for Biotechnology Information
language English
publishDate 2018
publisher John Wiley and Sons Inc.
record_format MEDLINE/PubMed
spelling pubmed-65084892019-06-26 Genomewide association study of ionomic traits on diverse soybean populations from germplasm collections Ziegler, Greg Nelson, Randall Granada, Stephanie Krishnan, Hari B. Gillman, Jason D. Baxter, Ivan Plant Direct Original Research The elemental content of a soybean seed is a determined by both genetic and environmental factors and is an important component of its nutritional value. The elemental content is chemically stable, making the samples stored in germplasm repositories an intriguing source of experimental material. To test the efficacy of using samples from germplasm banks for gene discovery, we analyzed the elemental profile of seeds from 1,653 lines in the USDA Soybean Germplasm Collection. We observed large differences in the elemental profiles based on where the lines were grown, which lead us to break up the genetic analysis into multiple small experiments. Despite these challenges, we were able to identify candidate single nucleotide polymorphisms (SNPs) controlling elemental accumulation as well as lines with extreme elemental accumulation phenotypes. Our results suggest that elemental analysis of germplasm samples can identify SNPs in linkage disequilibrium to genes, which can be leveraged to assist in crop improvement efforts. John Wiley and Sons Inc. 2018-01-15 /pmc/articles/PMC6508489/ /pubmed/31245681 http://dx.doi.org/10.1002/pld3.33 Text en © 2018 The Authors. Plant Direct published by American Society of Plant Biologists, Society for Experimental Biology and John Wiley & Sons Ltd. This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Research
Ziegler, Greg
Nelson, Randall
Granada, Stephanie
Krishnan, Hari B.
Gillman, Jason D.
Baxter, Ivan
Genomewide association study of ionomic traits on diverse soybean populations from germplasm collections
title Genomewide association study of ionomic traits on diverse soybean populations from germplasm collections
title_full Genomewide association study of ionomic traits on diverse soybean populations from germplasm collections
title_fullStr Genomewide association study of ionomic traits on diverse soybean populations from germplasm collections
title_full_unstemmed Genomewide association study of ionomic traits on diverse soybean populations from germplasm collections
title_short Genomewide association study of ionomic traits on diverse soybean populations from germplasm collections
title_sort genomewide association study of ionomic traits on diverse soybean populations from germplasm collections
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6508489/
https://www.ncbi.nlm.nih.gov/pubmed/31245681
http://dx.doi.org/10.1002/pld3.33
work_keys_str_mv AT zieglergreg genomewideassociationstudyofionomictraitsondiversesoybeanpopulationsfromgermplasmcollections
AT nelsonrandall genomewideassociationstudyofionomictraitsondiversesoybeanpopulationsfromgermplasmcollections
AT granadastephanie genomewideassociationstudyofionomictraitsondiversesoybeanpopulationsfromgermplasmcollections
AT krishnanharib genomewideassociationstudyofionomictraitsondiversesoybeanpopulationsfromgermplasmcollections
AT gillmanjasond genomewideassociationstudyofionomictraitsondiversesoybeanpopulationsfromgermplasmcollections
AT baxterivan genomewideassociationstudyofionomictraitsondiversesoybeanpopulationsfromgermplasmcollections