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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...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2021
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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. |
format | Online Article Text |
id | pubmed-8376040 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
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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