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Genome-Wide Association Analysis of Senescence-Related Traits in Maize
Senescence is a programmed process that involves the destruction of the photosynthesis apparatus and the relocation of nutrients to the grain. Identifying senescence-associated genes is essential to adapting varieties for the duration of the cultivation cycle. A genome-wide association study (GWAS)...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9782587/ https://www.ncbi.nlm.nih.gov/pubmed/36555534 http://dx.doi.org/10.3390/ijms232415897 |
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author | Yannam, Venkata Rami Reddy Caicedo, Marlon Malvar, Rosa Ana Ordás, Bernardo |
author_facet | Yannam, Venkata Rami Reddy Caicedo, Marlon Malvar, Rosa Ana Ordás, Bernardo |
author_sort | Yannam, Venkata Rami Reddy |
collection | PubMed |
description | Senescence is a programmed process that involves the destruction of the photosynthesis apparatus and the relocation of nutrients to the grain. Identifying senescence-associated genes is essential to adapting varieties for the duration of the cultivation cycle. A genome-wide association study (GWAS) was performed using 400 inbred maize lines with 156,164 SNPs to study the genetic architecture of senescence-related traits and their relationship with agronomic traits. We estimated the timing of senescence to be 45 days after anthesis in the whole plant and specifically in the husks. A list of genes identified in a previous RNAseq experiment as involved in senescence (core senescence genes) was used to propose candidate genes in the vicinity of the significant SNPs. Forty-six QTLs of moderate to high effect were found for senescence traits, including specific QTLs for husk senescence. The allele that delayed senescence primarily increased grain yield and moisture. Seven and one significant SNPs were found in the coding and promoter regions of eight core senescence genes, respectively. These genes could be potential candidates for generating a new variation by genome editing for functional analysis and breeding purposes, particularly Zm00001d014796, which could be responsible for a QTL of senescence found in multiple studies. |
format | Online Article Text |
id | pubmed-9782587 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-97825872022-12-24 Genome-Wide Association Analysis of Senescence-Related Traits in Maize Yannam, Venkata Rami Reddy Caicedo, Marlon Malvar, Rosa Ana Ordás, Bernardo Int J Mol Sci Article Senescence is a programmed process that involves the destruction of the photosynthesis apparatus and the relocation of nutrients to the grain. Identifying senescence-associated genes is essential to adapting varieties for the duration of the cultivation cycle. A genome-wide association study (GWAS) was performed using 400 inbred maize lines with 156,164 SNPs to study the genetic architecture of senescence-related traits and their relationship with agronomic traits. We estimated the timing of senescence to be 45 days after anthesis in the whole plant and specifically in the husks. A list of genes identified in a previous RNAseq experiment as involved in senescence (core senescence genes) was used to propose candidate genes in the vicinity of the significant SNPs. Forty-six QTLs of moderate to high effect were found for senescence traits, including specific QTLs for husk senescence. The allele that delayed senescence primarily increased grain yield and moisture. Seven and one significant SNPs were found in the coding and promoter regions of eight core senescence genes, respectively. These genes could be potential candidates for generating a new variation by genome editing for functional analysis and breeding purposes, particularly Zm00001d014796, which could be responsible for a QTL of senescence found in multiple studies. MDPI 2022-12-14 /pmc/articles/PMC9782587/ /pubmed/36555534 http://dx.doi.org/10.3390/ijms232415897 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Yannam, Venkata Rami Reddy Caicedo, Marlon Malvar, Rosa Ana Ordás, Bernardo Genome-Wide Association Analysis of Senescence-Related Traits in Maize |
title | Genome-Wide Association Analysis of Senescence-Related Traits in Maize |
title_full | Genome-Wide Association Analysis of Senescence-Related Traits in Maize |
title_fullStr | Genome-Wide Association Analysis of Senescence-Related Traits in Maize |
title_full_unstemmed | Genome-Wide Association Analysis of Senescence-Related Traits in Maize |
title_short | Genome-Wide Association Analysis of Senescence-Related Traits in Maize |
title_sort | genome-wide association analysis of senescence-related traits in maize |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9782587/ https://www.ncbi.nlm.nih.gov/pubmed/36555534 http://dx.doi.org/10.3390/ijms232415897 |
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