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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Public Library of Science (PLoS)
2021-01-01
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| author | Sukhdeep Kaur Sujay Rakshit Mukesh Choudhary Abhijit Kumar Das Ranjeet Ranjan Kumar |
| author_facet | Sukhdeep Kaur Sujay Rakshit Mukesh Choudhary Abhijit Kumar Das Ranjeet Ranjan Kumar |
| author_sort | Sukhdeep Kaur |
| collection | DOAJ |
| 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 R2 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 | Article |
| id | doaj-art-35b6f58dcef0455d9243f2cba7e95a45 |
| institution | Kabale University |
| issn | 1932-6203 |
| language | English |
| publishDate | 2021-01-01 |
| publisher | Public Library of Science (PLoS) |
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| series | PLoS ONE |
| spelling | doaj-art-35b6f58dcef0455d9243f2cba7e95a452025-01-24T05:31:12ZengPublic Library of Science (PLoS)PLoS ONE1932-62032021-01-01168e025638910.1371/journal.pone.0256389Meta-analysis of QTLs associated with popping traits in maize (Zea mays L.).Sukhdeep KaurSujay RakshitMukesh ChoudharyAbhijit Kumar DasRanjeet Ranjan KumarThe 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 R2 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.https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0256389&type=printable |
| spellingShingle | Sukhdeep Kaur Sujay Rakshit Mukesh Choudhary Abhijit Kumar Das Ranjeet Ranjan Kumar Meta-analysis of QTLs associated with popping traits in maize (Zea mays L.). PLoS ONE |
| 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 |
| url | https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0256389&type=printable |
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