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Meta-analysis of QTLs associated with popping traits in maize (Zea mays L.)

The rising demand for popcorn necessitates improving the popping quality with higher yield of popcorn cultivars. Towards this direction several Quantitative Traits Loci (QTLs) for popping traits have been identified. However, identification of accurate and consistent QTLs across different genetic ba...

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Autores principales: Kaur, Sukhdeep, Rakshit, Sujay, Choudhary, Mukesh, Das, Abhijit Kumar, Kumar, Ranjeet Ranjan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8376040/
https://www.ncbi.nlm.nih.gov/pubmed/34411180
http://dx.doi.org/10.1371/journal.pone.0256389
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author Kaur, Sukhdeep
Rakshit, Sujay
Choudhary, Mukesh
Das, Abhijit Kumar
Kumar, Ranjeet Ranjan
author_facet Kaur, Sukhdeep
Rakshit, Sujay
Choudhary, Mukesh
Das, Abhijit Kumar
Kumar, Ranjeet Ranjan
author_sort Kaur, Sukhdeep
collection PubMed
description The rising demand for popcorn necessitates improving the popping quality with higher yield of popcorn cultivars. Towards this direction several Quantitative Traits Loci (QTLs) for popping traits have been identified. However, identification of accurate and consistent QTLs across different genetic backgrounds and environments is necessary to effectively utilize the identified QTLs in marker-assisted breeding. In the current study, 99 QTLs related to popping traits reported in 8 different studies were assembled and projected on the reference map "Genetic 2005" using BioMercator v4.2 to identify metaQTLs with consistent QTLs. Total ten metaQTLs were identified on chromosome 1 (7 metaQTLs) and 6 (3 metaQTLs) with physical distance ranging between 0.43 and 12.75 Mb, respectively. Four identified metaQTLs, viz., mQTL1_1, mQTL1_5, mQTL1_7 and mQTL6_2 harboured 5–8 QTL clusters with moderately high R(2) value. The clustered QTLs were from two or more experiments. Based on the expression pattern in endosperm and pericarp tissues, a total of 229 genes were selected. Nineteen of these genes are involved in carbohydrate metabolism. Of the 19 genes specifically involved in carbohydrate metabolism, 11 of them were in these regions, implying the importance of these clustered QTLs. MetaQTL1_1 at bin location 1.01 coincided with the reported QTLs related to various agronomic traits like stalk diameter, tassel length, leaf area and plant height. The identified metaQTLs can be further explored for fine mapping and candidate gene identification, which can be validated by loss or gain of function. Identified metaQTLs can be used for introgression of popping traits towards enhancing the popping ability.
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spelling pubmed-83760402021-08-20 Meta-analysis of QTLs associated with popping traits in maize (Zea mays L.) Kaur, Sukhdeep Rakshit, Sujay Choudhary, Mukesh Das, Abhijit Kumar Kumar, Ranjeet Ranjan PLoS One Research Article The rising demand for popcorn necessitates improving the popping quality with higher yield of popcorn cultivars. Towards this direction several Quantitative Traits Loci (QTLs) for popping traits have been identified. However, identification of accurate and consistent QTLs across different genetic backgrounds and environments is necessary to effectively utilize the identified QTLs in marker-assisted breeding. In the current study, 99 QTLs related to popping traits reported in 8 different studies were assembled and projected on the reference map "Genetic 2005" using BioMercator v4.2 to identify metaQTLs with consistent QTLs. Total ten metaQTLs were identified on chromosome 1 (7 metaQTLs) and 6 (3 metaQTLs) with physical distance ranging between 0.43 and 12.75 Mb, respectively. Four identified metaQTLs, viz., mQTL1_1, mQTL1_5, mQTL1_7 and mQTL6_2 harboured 5–8 QTL clusters with moderately high R(2) value. The clustered QTLs were from two or more experiments. Based on the expression pattern in endosperm and pericarp tissues, a total of 229 genes were selected. Nineteen of these genes are involved in carbohydrate metabolism. Of the 19 genes specifically involved in carbohydrate metabolism, 11 of them were in these regions, implying the importance of these clustered QTLs. MetaQTL1_1 at bin location 1.01 coincided with the reported QTLs related to various agronomic traits like stalk diameter, tassel length, leaf area and plant height. The identified metaQTLs can be further explored for fine mapping and candidate gene identification, which can be validated by loss or gain of function. Identified metaQTLs can be used for introgression of popping traits towards enhancing the popping ability. Public Library of Science 2021-08-19 /pmc/articles/PMC8376040/ /pubmed/34411180 http://dx.doi.org/10.1371/journal.pone.0256389 Text en © 2021 Kaur et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Kaur, Sukhdeep
Rakshit, Sujay
Choudhary, Mukesh
Das, Abhijit Kumar
Kumar, Ranjeet Ranjan
Meta-analysis of QTLs associated with popping traits in maize (Zea mays L.)
title Meta-analysis of QTLs associated with popping traits in maize (Zea mays L.)
title_full Meta-analysis of QTLs associated with popping traits in maize (Zea mays L.)
title_fullStr Meta-analysis of QTLs associated with popping traits in maize (Zea mays L.)
title_full_unstemmed Meta-analysis of QTLs associated with popping traits in maize (Zea mays L.)
title_short Meta-analysis of QTLs associated with popping traits in maize (Zea mays L.)
title_sort meta-analysis of qtls associated with popping traits in maize (zea mays l.)
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8376040/
https://www.ncbi.nlm.nih.gov/pubmed/34411180
http://dx.doi.org/10.1371/journal.pone.0256389
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