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QTL Analysis of Five Morpho-Physiological Traits in Bread Wheat Using Two Mapping Populations Derived from Common Parents

Traits such as plant height (PH), juvenile growth habit (GH), heading date (HD), and tiller number are important for both increasing yield potential and improving crop adaptation to climate change. In the present study, these traits were investigated by using the same bi-parental population at early...

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Autores principales: Vitale, Paolo, Fania, Fabio, Esposito, Salvatore, Pecorella, Ivano, Pecchioni, Nicola, Palombieri, Samuela, Sestili, Francesco, Lafiandra, Domenico, Taranto, Francesca, De Vita, Pasquale
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8074140/
https://www.ncbi.nlm.nih.gov/pubmed/33923933
http://dx.doi.org/10.3390/genes12040604
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author Vitale, Paolo
Fania, Fabio
Esposito, Salvatore
Pecorella, Ivano
Pecchioni, Nicola
Palombieri, Samuela
Sestili, Francesco
Lafiandra, Domenico
Taranto, Francesca
De Vita, Pasquale
author_facet Vitale, Paolo
Fania, Fabio
Esposito, Salvatore
Pecorella, Ivano
Pecchioni, Nicola
Palombieri, Samuela
Sestili, Francesco
Lafiandra, Domenico
Taranto, Francesca
De Vita, Pasquale
author_sort Vitale, Paolo
collection PubMed
description Traits such as plant height (PH), juvenile growth habit (GH), heading date (HD), and tiller number are important for both increasing yield potential and improving crop adaptation to climate change. In the present study, these traits were investigated by using the same bi-parental population at early (F(2) and F(2)-derived F(3) families) and late (F(6) and F(7), recombinant inbred lines, RILs) generations to detect quantitative trait loci (QTLs) and search for candidate genes. A total of 176 and 178 lines were genotyped by the wheat Illumina 25K Infinium SNP array. The two genetic maps spanned 2486.97 cM and 3732.84 cM in length, for the F(2) and RILs, respectively. QTLs explaining the highest phenotypic variation were found on chromosomes 2B, 2D, 5A, and 7D for HD and GH, whereas those for PH were found on chromosomes 4B and 4D. Several QTL detected in the early generations (i.e., PH and tiller number) were not detected in the late generations as they were due to dominance effects. Some of the identified QTLs co-mapped to well-known adaptive genes (i.e., Ppd-1, Vrn-1, and Rht-1). Other putative candidate genes were identified for each trait, of which PINE1 and PIF4 may be considered new for GH and TTN in wheat. The use of a large F(2) mapping population combined with NGS-based genotyping techniques could improve map resolution and allow closer QTL tagging.
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spelling pubmed-80741402021-04-27 QTL Analysis of Five Morpho-Physiological Traits in Bread Wheat Using Two Mapping Populations Derived from Common Parents Vitale, Paolo Fania, Fabio Esposito, Salvatore Pecorella, Ivano Pecchioni, Nicola Palombieri, Samuela Sestili, Francesco Lafiandra, Domenico Taranto, Francesca De Vita, Pasquale Genes (Basel) Article Traits such as plant height (PH), juvenile growth habit (GH), heading date (HD), and tiller number are important for both increasing yield potential and improving crop adaptation to climate change. In the present study, these traits were investigated by using the same bi-parental population at early (F(2) and F(2)-derived F(3) families) and late (F(6) and F(7), recombinant inbred lines, RILs) generations to detect quantitative trait loci (QTLs) and search for candidate genes. A total of 176 and 178 lines were genotyped by the wheat Illumina 25K Infinium SNP array. The two genetic maps spanned 2486.97 cM and 3732.84 cM in length, for the F(2) and RILs, respectively. QTLs explaining the highest phenotypic variation were found on chromosomes 2B, 2D, 5A, and 7D for HD and GH, whereas those for PH were found on chromosomes 4B and 4D. Several QTL detected in the early generations (i.e., PH and tiller number) were not detected in the late generations as they were due to dominance effects. Some of the identified QTLs co-mapped to well-known adaptive genes (i.e., Ppd-1, Vrn-1, and Rht-1). Other putative candidate genes were identified for each trait, of which PINE1 and PIF4 may be considered new for GH and TTN in wheat. The use of a large F(2) mapping population combined with NGS-based genotyping techniques could improve map resolution and allow closer QTL tagging. MDPI 2021-04-20 /pmc/articles/PMC8074140/ /pubmed/33923933 http://dx.doi.org/10.3390/genes12040604 Text en © 2021 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
Vitale, Paolo
Fania, Fabio
Esposito, Salvatore
Pecorella, Ivano
Pecchioni, Nicola
Palombieri, Samuela
Sestili, Francesco
Lafiandra, Domenico
Taranto, Francesca
De Vita, Pasquale
QTL Analysis of Five Morpho-Physiological Traits in Bread Wheat Using Two Mapping Populations Derived from Common Parents
title QTL Analysis of Five Morpho-Physiological Traits in Bread Wheat Using Two Mapping Populations Derived from Common Parents
title_full QTL Analysis of Five Morpho-Physiological Traits in Bread Wheat Using Two Mapping Populations Derived from Common Parents
title_fullStr QTL Analysis of Five Morpho-Physiological Traits in Bread Wheat Using Two Mapping Populations Derived from Common Parents
title_full_unstemmed QTL Analysis of Five Morpho-Physiological Traits in Bread Wheat Using Two Mapping Populations Derived from Common Parents
title_short QTL Analysis of Five Morpho-Physiological Traits in Bread Wheat Using Two Mapping Populations Derived from Common Parents
title_sort qtl analysis of five morpho-physiological traits in bread wheat using two mapping populations derived from common parents
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8074140/
https://www.ncbi.nlm.nih.gov/pubmed/33923933
http://dx.doi.org/10.3390/genes12040604
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