Cargando…
Genome-wide association study identifies loci and candidate genes for grain micronutrients and quality traits in wheat (Triticum aestivum L.)
Malnutrition due to micronutrients and protein deficiency is recognized among the major global health issues. Genetic biofortification of wheat is a cost-effective and sustainable strategy to mitigate the global micronutrient and protein malnutrition. Genomic regions governing grain zinc concentrati...
Autores principales: | , , , , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9054743/ https://www.ncbi.nlm.nih.gov/pubmed/35487909 http://dx.doi.org/10.1038/s41598-022-10618-w |
_version_ | 1784697259771822080 |
---|---|
author | Rathan, Nagenahalli Dharmegowda Krishna, Hari Ellur, Ranjith Kumar Sehgal, Deepmala Govindan, Velu Ahlawat, Arvind Kumar Krishnappa, Gopalareddy Jaiswal, Jai Prakash Singh, Jang Bahadur SV, Saiprasad Ambati, Divya Singh, Sumit Kumar Bajpai, Kriti Mahendru-Singh, Anju |
author_facet | Rathan, Nagenahalli Dharmegowda Krishna, Hari Ellur, Ranjith Kumar Sehgal, Deepmala Govindan, Velu Ahlawat, Arvind Kumar Krishnappa, Gopalareddy Jaiswal, Jai Prakash Singh, Jang Bahadur SV, Saiprasad Ambati, Divya Singh, Sumit Kumar Bajpai, Kriti Mahendru-Singh, Anju |
author_sort | Rathan, Nagenahalli Dharmegowda |
collection | PubMed |
description | Malnutrition due to micronutrients and protein deficiency is recognized among the major global health issues. Genetic biofortification of wheat is a cost-effective and sustainable strategy to mitigate the global micronutrient and protein malnutrition. Genomic regions governing grain zinc concentration (GZnC), grain iron concentration (GFeC), grain protein content (GPC), test weight (TW), and thousand kernel weight (TKW) were investigated in a set of 184 diverse bread wheat genotypes through genome-wide association study (GWAS). The GWAS panel was genotyped using Breeders' 35 K Axiom Array and phenotyped in three different environments during 2019–2020. A total of 55 marker-trait associations (MTAs) were identified representing all three sub-genomes of wheat. The highest number of MTAs were identified for GPC (23), followed by TKW (15), TW (11), GFeC (4), and GZnC (2). Further, a stable SNP was identified for TKW, and also pleiotropic regions were identified for GPC and TKW. In silico analysis revealed important putative candidate genes underlying the identified genomic regions such as F-box-like domain superfamily, Zinc finger CCCH-type proteins, Serine-threonine/tyrosine-protein kinase, Histone deacetylase domain superfamily, and SANT/Myb domain superfamily proteins, etc. The identified novel MTAs will be validated to estimate their effects in different genetic backgrounds for subsequent use in marker-assisted selection. |
format | Online Article Text |
id | pubmed-9054743 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-90547432022-05-01 Genome-wide association study identifies loci and candidate genes for grain micronutrients and quality traits in wheat (Triticum aestivum L.) Rathan, Nagenahalli Dharmegowda Krishna, Hari Ellur, Ranjith Kumar Sehgal, Deepmala Govindan, Velu Ahlawat, Arvind Kumar Krishnappa, Gopalareddy Jaiswal, Jai Prakash Singh, Jang Bahadur SV, Saiprasad Ambati, Divya Singh, Sumit Kumar Bajpai, Kriti Mahendru-Singh, Anju Sci Rep Article Malnutrition due to micronutrients and protein deficiency is recognized among the major global health issues. Genetic biofortification of wheat is a cost-effective and sustainable strategy to mitigate the global micronutrient and protein malnutrition. Genomic regions governing grain zinc concentration (GZnC), grain iron concentration (GFeC), grain protein content (GPC), test weight (TW), and thousand kernel weight (TKW) were investigated in a set of 184 diverse bread wheat genotypes through genome-wide association study (GWAS). The GWAS panel was genotyped using Breeders' 35 K Axiom Array and phenotyped in three different environments during 2019–2020. A total of 55 marker-trait associations (MTAs) were identified representing all three sub-genomes of wheat. The highest number of MTAs were identified for GPC (23), followed by TKW (15), TW (11), GFeC (4), and GZnC (2). Further, a stable SNP was identified for TKW, and also pleiotropic regions were identified for GPC and TKW. In silico analysis revealed important putative candidate genes underlying the identified genomic regions such as F-box-like domain superfamily, Zinc finger CCCH-type proteins, Serine-threonine/tyrosine-protein kinase, Histone deacetylase domain superfamily, and SANT/Myb domain superfamily proteins, etc. The identified novel MTAs will be validated to estimate their effects in different genetic backgrounds for subsequent use in marker-assisted selection. Nature Publishing Group UK 2022-04-29 /pmc/articles/PMC9054743/ /pubmed/35487909 http://dx.doi.org/10.1038/s41598-022-10618-w Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Rathan, Nagenahalli Dharmegowda Krishna, Hari Ellur, Ranjith Kumar Sehgal, Deepmala Govindan, Velu Ahlawat, Arvind Kumar Krishnappa, Gopalareddy Jaiswal, Jai Prakash Singh, Jang Bahadur SV, Saiprasad Ambati, Divya Singh, Sumit Kumar Bajpai, Kriti Mahendru-Singh, Anju Genome-wide association study identifies loci and candidate genes for grain micronutrients and quality traits in wheat (Triticum aestivum L.) |
title | Genome-wide association study identifies loci and candidate genes for grain micronutrients and quality traits in wheat (Triticum aestivum L.) |
title_full | Genome-wide association study identifies loci and candidate genes for grain micronutrients and quality traits in wheat (Triticum aestivum L.) |
title_fullStr | Genome-wide association study identifies loci and candidate genes for grain micronutrients and quality traits in wheat (Triticum aestivum L.) |
title_full_unstemmed | Genome-wide association study identifies loci and candidate genes for grain micronutrients and quality traits in wheat (Triticum aestivum L.) |
title_short | Genome-wide association study identifies loci and candidate genes for grain micronutrients and quality traits in wheat (Triticum aestivum L.) |
title_sort | genome-wide association study identifies loci and candidate genes for grain micronutrients and quality traits in wheat (triticum aestivum l.) |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9054743/ https://www.ncbi.nlm.nih.gov/pubmed/35487909 http://dx.doi.org/10.1038/s41598-022-10618-w |
work_keys_str_mv | AT rathannagenahallidharmegowda genomewideassociationstudyidentifieslociandcandidategenesforgrainmicronutrientsandqualitytraitsinwheattriticumaestivuml AT krishnahari genomewideassociationstudyidentifieslociandcandidategenesforgrainmicronutrientsandqualitytraitsinwheattriticumaestivuml AT ellurranjithkumar genomewideassociationstudyidentifieslociandcandidategenesforgrainmicronutrientsandqualitytraitsinwheattriticumaestivuml AT sehgaldeepmala genomewideassociationstudyidentifieslociandcandidategenesforgrainmicronutrientsandqualitytraitsinwheattriticumaestivuml AT govindanvelu genomewideassociationstudyidentifieslociandcandidategenesforgrainmicronutrientsandqualitytraitsinwheattriticumaestivuml AT ahlawatarvindkumar genomewideassociationstudyidentifieslociandcandidategenesforgrainmicronutrientsandqualitytraitsinwheattriticumaestivuml AT krishnappagopalareddy genomewideassociationstudyidentifieslociandcandidategenesforgrainmicronutrientsandqualitytraitsinwheattriticumaestivuml AT jaiswaljaiprakash genomewideassociationstudyidentifieslociandcandidategenesforgrainmicronutrientsandqualitytraitsinwheattriticumaestivuml AT singhjangbahadur genomewideassociationstudyidentifieslociandcandidategenesforgrainmicronutrientsandqualitytraitsinwheattriticumaestivuml AT svsaiprasad genomewideassociationstudyidentifieslociandcandidategenesforgrainmicronutrientsandqualitytraitsinwheattriticumaestivuml AT ambatidivya genomewideassociationstudyidentifieslociandcandidategenesforgrainmicronutrientsandqualitytraitsinwheattriticumaestivuml AT singhsumitkumar genomewideassociationstudyidentifieslociandcandidategenesforgrainmicronutrientsandqualitytraitsinwheattriticumaestivuml AT bajpaikriti genomewideassociationstudyidentifieslociandcandidategenesforgrainmicronutrientsandqualitytraitsinwheattriticumaestivuml AT mahendrusinghanju genomewideassociationstudyidentifieslociandcandidategenesforgrainmicronutrientsandqualitytraitsinwheattriticumaestivuml |