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Discovering Loci for Breeding Prospective and Phenology in Wheat Mediterranean Landraces by Environmental and eigenGWAS

Knowledge of the genetic basis of traits controlling phenology, differentiation patterns, and environmental adaptation is essential to develop new cultivars under climate change conditions. Landrace collections are an appropriate platform to study the hidden variation caused by crop breeding. The us...

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Autores principales: Yannam, Venkata Rami Reddy, Rufo, Rubén, Marcotuli, Ilaria, Gadaleta, Agata, Lopes, Marta S., Soriano, Jose Miguel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9863576/
https://www.ncbi.nlm.nih.gov/pubmed/36675215
http://dx.doi.org/10.3390/ijms24021700
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author Yannam, Venkata Rami Reddy
Rufo, Rubén
Marcotuli, Ilaria
Gadaleta, Agata
Lopes, Marta S.
Soriano, Jose Miguel
author_facet Yannam, Venkata Rami Reddy
Rufo, Rubén
Marcotuli, Ilaria
Gadaleta, Agata
Lopes, Marta S.
Soriano, Jose Miguel
author_sort Yannam, Venkata Rami Reddy
collection PubMed
description Knowledge of the genetic basis of traits controlling phenology, differentiation patterns, and environmental adaptation is essential to develop new cultivars under climate change conditions. Landrace collections are an appropriate platform to study the hidden variation caused by crop breeding. The use of genome-wide association analysis for phenology, climatic data and differentiation among Mediterranean landraces led to the identification of 651 marker-trait associations that could be grouped in 46 QTL hotspots. A candidate gene analysis using the annotation of the genome sequence of the wheat cultivar ‘Chinese Spring’ detected 1097 gene models within 33 selected QTL hotspots. From all the gene models, 42 were shown to be differentially expressed (upregulated) under abiotic stress conditions, and 9 were selected based on their levels of expression. Different gene families previously reported for their involvement in different stress responses were found (protein kinases, ras-like GTP binding proteins and ethylene-responsive transcription factors). Finally, the synteny analysis in the QTL hotspots regions among the genomes of wheat and other cereal species identified 23, 21 and 7 ortho-QTLs for Brachypodium, rice and maize, respectively, confirming the importance of these loci.
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spelling pubmed-98635762023-01-22 Discovering Loci for Breeding Prospective and Phenology in Wheat Mediterranean Landraces by Environmental and eigenGWAS Yannam, Venkata Rami Reddy Rufo, Rubén Marcotuli, Ilaria Gadaleta, Agata Lopes, Marta S. Soriano, Jose Miguel Int J Mol Sci Article Knowledge of the genetic basis of traits controlling phenology, differentiation patterns, and environmental adaptation is essential to develop new cultivars under climate change conditions. Landrace collections are an appropriate platform to study the hidden variation caused by crop breeding. The use of genome-wide association analysis for phenology, climatic data and differentiation among Mediterranean landraces led to the identification of 651 marker-trait associations that could be grouped in 46 QTL hotspots. A candidate gene analysis using the annotation of the genome sequence of the wheat cultivar ‘Chinese Spring’ detected 1097 gene models within 33 selected QTL hotspots. From all the gene models, 42 were shown to be differentially expressed (upregulated) under abiotic stress conditions, and 9 were selected based on their levels of expression. Different gene families previously reported for their involvement in different stress responses were found (protein kinases, ras-like GTP binding proteins and ethylene-responsive transcription factors). Finally, the synteny analysis in the QTL hotspots regions among the genomes of wheat and other cereal species identified 23, 21 and 7 ortho-QTLs for Brachypodium, rice and maize, respectively, confirming the importance of these loci. MDPI 2023-01-15 /pmc/articles/PMC9863576/ /pubmed/36675215 http://dx.doi.org/10.3390/ijms24021700 Text en © 2023 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
Rufo, Rubén
Marcotuli, Ilaria
Gadaleta, Agata
Lopes, Marta S.
Soriano, Jose Miguel
Discovering Loci for Breeding Prospective and Phenology in Wheat Mediterranean Landraces by Environmental and eigenGWAS
title Discovering Loci for Breeding Prospective and Phenology in Wheat Mediterranean Landraces by Environmental and eigenGWAS
title_full Discovering Loci for Breeding Prospective and Phenology in Wheat Mediterranean Landraces by Environmental and eigenGWAS
title_fullStr Discovering Loci for Breeding Prospective and Phenology in Wheat Mediterranean Landraces by Environmental and eigenGWAS
title_full_unstemmed Discovering Loci for Breeding Prospective and Phenology in Wheat Mediterranean Landraces by Environmental and eigenGWAS
title_short Discovering Loci for Breeding Prospective and Phenology in Wheat Mediterranean Landraces by Environmental and eigenGWAS
title_sort discovering loci for breeding prospective and phenology in wheat mediterranean landraces by environmental and eigengwas
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9863576/
https://www.ncbi.nlm.nih.gov/pubmed/36675215
http://dx.doi.org/10.3390/ijms24021700
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