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Genetic dissection of grain iron and zinc, and thousand kernel weight in wheat (Triticum aestivum L.) using genome-wide association study

Genetic biofortification is recognized as a cost-effective and sustainable strategy to reduce micronutrient malnutrition. Genomic regions governing grain iron concentration (GFeC), grain zinc concentration (GZnC), and thousand kernel weight (TKW) were investigated in a set of 280 diverse bread wheat...

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Autores principales: Krishnappa, Gopalareddy, Khan, Hanif, Krishna, Hari, Kumar, Satish, Mishra, Chandra Nath, Parkash, Om, Devate, Narayana Bhat, Nepolean, Thirunavukkarasu, Rathan, Nagenahalli Dharmegowda, Mamrutha, Harohalli Masthigowda, Srivastava, Puja, Biradar, Suma, Uday, Govindareddy, Kumar, Monu, Singh, Gyanendra, Singh, Gyanendra Pratap
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9300641/
https://www.ncbi.nlm.nih.gov/pubmed/35858934
http://dx.doi.org/10.1038/s41598-022-15992-z
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author Krishnappa, Gopalareddy
Khan, Hanif
Krishna, Hari
Kumar, Satish
Mishra, Chandra Nath
Parkash, Om
Devate, Narayana Bhat
Nepolean, Thirunavukkarasu
Rathan, Nagenahalli Dharmegowda
Mamrutha, Harohalli Masthigowda
Srivastava, Puja
Biradar, Suma
Uday, Govindareddy
Kumar, Monu
Singh, Gyanendra
Singh, Gyanendra Pratap
author_facet Krishnappa, Gopalareddy
Khan, Hanif
Krishna, Hari
Kumar, Satish
Mishra, Chandra Nath
Parkash, Om
Devate, Narayana Bhat
Nepolean, Thirunavukkarasu
Rathan, Nagenahalli Dharmegowda
Mamrutha, Harohalli Masthigowda
Srivastava, Puja
Biradar, Suma
Uday, Govindareddy
Kumar, Monu
Singh, Gyanendra
Singh, Gyanendra Pratap
author_sort Krishnappa, Gopalareddy
collection PubMed
description Genetic biofortification is recognized as a cost-effective and sustainable strategy to reduce micronutrient malnutrition. Genomic regions governing grain iron concentration (GFeC), grain zinc concentration (GZnC), and thousand kernel weight (TKW) were investigated in a set of 280 diverse bread wheat genotypes. The genome-wide association (GWAS) panel was genotyped using 35 K Axiom Array and phenotyped in five environments. The GWAS analysis showed a total of 17 Bonferroni-corrected marker-trait associations (MTAs) in nine chromosomes representing all the three wheat subgenomes. The TKW showed the highest MTAs (7), followed by GZnC (5) and GFeC (5). Furthermore, 14 MTAs were identified with more than 10% phenotypic variation. One stable MTA i.e. AX-95025823 was identified for TKW in both E4 and E5 environments along with pooled data, which is located at 68.9 Mb on 6A chromosome. In silico analysis revealed that the SNPs were located on important putative candidate genes such as Multi antimicrobial extrusion protein, F-box domain, Late embryogenesis abundant protein, LEA-18, Leucine-rich repeat domain superfamily, and C3H4 type zinc finger protein, involved in iron translocation, iron and zinc homeostasis, and grain size modifications. The identified novel MTAs will be validated to estimate their effects in different genetic backgrounds for subsequent use in marker-assisted selection. The identified SNPs will be valuable in the rapid development of biofortified wheat varieties to ameliorate the malnutrition problems.
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spelling pubmed-93006412022-07-22 Genetic dissection of grain iron and zinc, and thousand kernel weight in wheat (Triticum aestivum L.) using genome-wide association study Krishnappa, Gopalareddy Khan, Hanif Krishna, Hari Kumar, Satish Mishra, Chandra Nath Parkash, Om Devate, Narayana Bhat Nepolean, Thirunavukkarasu Rathan, Nagenahalli Dharmegowda Mamrutha, Harohalli Masthigowda Srivastava, Puja Biradar, Suma Uday, Govindareddy Kumar, Monu Singh, Gyanendra Singh, Gyanendra Pratap Sci Rep Article Genetic biofortification is recognized as a cost-effective and sustainable strategy to reduce micronutrient malnutrition. Genomic regions governing grain iron concentration (GFeC), grain zinc concentration (GZnC), and thousand kernel weight (TKW) were investigated in a set of 280 diverse bread wheat genotypes. The genome-wide association (GWAS) panel was genotyped using 35 K Axiom Array and phenotyped in five environments. The GWAS analysis showed a total of 17 Bonferroni-corrected marker-trait associations (MTAs) in nine chromosomes representing all the three wheat subgenomes. The TKW showed the highest MTAs (7), followed by GZnC (5) and GFeC (5). Furthermore, 14 MTAs were identified with more than 10% phenotypic variation. One stable MTA i.e. AX-95025823 was identified for TKW in both E4 and E5 environments along with pooled data, which is located at 68.9 Mb on 6A chromosome. In silico analysis revealed that the SNPs were located on important putative candidate genes such as Multi antimicrobial extrusion protein, F-box domain, Late embryogenesis abundant protein, LEA-18, Leucine-rich repeat domain superfamily, and C3H4 type zinc finger protein, involved in iron translocation, iron and zinc homeostasis, and grain size modifications. The identified novel MTAs will be validated to estimate their effects in different genetic backgrounds for subsequent use in marker-assisted selection. The identified SNPs will be valuable in the rapid development of biofortified wheat varieties to ameliorate the malnutrition problems. Nature Publishing Group UK 2022-07-20 /pmc/articles/PMC9300641/ /pubmed/35858934 http://dx.doi.org/10.1038/s41598-022-15992-z 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
Krishnappa, Gopalareddy
Khan, Hanif
Krishna, Hari
Kumar, Satish
Mishra, Chandra Nath
Parkash, Om
Devate, Narayana Bhat
Nepolean, Thirunavukkarasu
Rathan, Nagenahalli Dharmegowda
Mamrutha, Harohalli Masthigowda
Srivastava, Puja
Biradar, Suma
Uday, Govindareddy
Kumar, Monu
Singh, Gyanendra
Singh, Gyanendra Pratap
Genetic dissection of grain iron and zinc, and thousand kernel weight in wheat (Triticum aestivum L.) using genome-wide association study
title Genetic dissection of grain iron and zinc, and thousand kernel weight in wheat (Triticum aestivum L.) using genome-wide association study
title_full Genetic dissection of grain iron and zinc, and thousand kernel weight in wheat (Triticum aestivum L.) using genome-wide association study
title_fullStr Genetic dissection of grain iron and zinc, and thousand kernel weight in wheat (Triticum aestivum L.) using genome-wide association study
title_full_unstemmed Genetic dissection of grain iron and zinc, and thousand kernel weight in wheat (Triticum aestivum L.) using genome-wide association study
title_short Genetic dissection of grain iron and zinc, and thousand kernel weight in wheat (Triticum aestivum L.) using genome-wide association study
title_sort genetic dissection of grain iron and zinc, and thousand kernel weight in wheat (triticum aestivum l.) using genome-wide association study
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9300641/
https://www.ncbi.nlm.nih.gov/pubmed/35858934
http://dx.doi.org/10.1038/s41598-022-15992-z
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