Mapping of QTLs for Yield Traits Using F2:3:4 Populations Derived From Two Alien Introgression Lines Reveals qTGW8.1 as a Consistent QTL for Grain Weight From Oryza nivara
Wild introgressions play a crucial role in crop improvement by transferring important novel alleles and broadening allelic diversity of cultivated germplasm. In this study, two stable backcross alien introgression lines 166s and 14s derived from Swarn/Oryza nivara IRGC81848 were used as parents to g...
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| Format: | Article |
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Frontiers Media S.A.
2022-03-01
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| Series: | Frontiers in Plant Science |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fpls.2022.790221/full |
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| author | Kavitha Beerelli Kavitha Beerelli Divya Balakrishnan Krishnam Raju Addanki Krishnam Raju Addanki Malathi Surapaneni Venkateswara Rao Yadavalli Sarla Neelamraju |
| author_facet | Kavitha Beerelli Kavitha Beerelli Divya Balakrishnan Krishnam Raju Addanki Krishnam Raju Addanki Malathi Surapaneni Venkateswara Rao Yadavalli Sarla Neelamraju |
| author_sort | Kavitha Beerelli |
| collection | DOAJ |
| description | Wild introgressions play a crucial role in crop improvement by transferring important novel alleles and broadening allelic diversity of cultivated germplasm. In this study, two stable backcross alien introgression lines 166s and 14s derived from Swarn/Oryza nivara IRGC81848 were used as parents to generate populations to map quantitative trait loci (QTLs) for yield-related traits. Field evaluation of yield-related traits in F2, F3, and F4 population was carried out in normal irrigated conditions during the wet season of 2015 and dry seasons of 2016 and 2018, respectively. Plant height, tiller number, productive tiller number, total dry matter, and harvest index showed a highly significant association to single plant yield in F2, F3, and F4. In all, 21, 30, and 17 QTLs were identified in F2, F2:3, and F2:4, respectively, for yield-related traits. QTLs qPH6.1 with 12.54% phenotypic variance (PV) in F2, qPH1.1 with 13.01% PV, qTN6.1 with 10.08% PV in F2:3, and qTGW6.1 with 15.19% PV in F2:4 were identified as major effect QTLs. QTLs qSPY4.1 and qSPY6.1 were detected for grain yield in F2 and F2:3 with PV 8.5 and 6.7%, respectively. The trait enhancing alleles of QTLs qSPY4.1, qSPY6.1, qPH1.1, qTGW6.1, qTGW8.1, qGN4.1, and qTDM5.1 were from O. nivara. QTLs of the yield contributing traits were found clustered in the same chromosomal region. qTGW8.1 was identified in a 2.6 Mb region between RM3480 and RM3452 in all three generations with PV 6.1 to 9.8%. This stable and consistent qTGW8.1 allele from O. nivara can be fine mapped for identification of causal genes. From this population, lines C212, C2124, C2128, and C2143 were identified with significantly higher SPY and C2103, C2116, and C2117 had consistently higher thousand-grain weight values than both the parents and Swarna across the generations and are useful in gene discovery for target traits and further crop improvement. |
| first_indexed | 2024-12-22T06:50:50Z |
| format | Article |
| id | doaj.art-7e8cf13fa0fc4821a5a4fb8730214248 |
| institution | Directory Open Access Journal |
| issn | 1664-462X |
| language | English |
| last_indexed | 2024-12-22T06:50:50Z |
| publishDate | 2022-03-01 |
| publisher | Frontiers Media S.A. |
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| series | Frontiers in Plant Science |
| spelling | doaj.art-7e8cf13fa0fc4821a5a4fb87302142482022-12-21T18:35:10ZengFrontiers Media S.A.Frontiers in Plant Science1664-462X2022-03-011310.3389/fpls.2022.790221790221Mapping of QTLs for Yield Traits Using F2:3:4 Populations Derived From Two Alien Introgression Lines Reveals qTGW8.1 as a Consistent QTL for Grain Weight From Oryza nivaraKavitha Beerelli0Kavitha Beerelli1Divya Balakrishnan2Krishnam Raju Addanki3Krishnam Raju Addanki4Malathi Surapaneni5Venkateswara Rao Yadavalli6Sarla Neelamraju7National Professor Project, ICAR-Indian Institute of Rice Research, Hyderabad, IndiaDepartment of Biotechnology, Acharya Nagarjuna University, Guntur, IndiaNational Professor Project, ICAR-Indian Institute of Rice Research, Hyderabad, IndiaNational Professor Project, ICAR-Indian Institute of Rice Research, Hyderabad, IndiaDepartment of Biotechnology, Acharya Nagarjuna University, Guntur, IndiaNational Professor Project, ICAR-Indian Institute of Rice Research, Hyderabad, IndiaNational Professor Project, ICAR-Indian Institute of Rice Research, Hyderabad, IndiaNational Professor Project, ICAR-Indian Institute of Rice Research, Hyderabad, IndiaWild introgressions play a crucial role in crop improvement by transferring important novel alleles and broadening allelic diversity of cultivated germplasm. In this study, two stable backcross alien introgression lines 166s and 14s derived from Swarn/Oryza nivara IRGC81848 were used as parents to generate populations to map quantitative trait loci (QTLs) for yield-related traits. Field evaluation of yield-related traits in F2, F3, and F4 population was carried out in normal irrigated conditions during the wet season of 2015 and dry seasons of 2016 and 2018, respectively. Plant height, tiller number, productive tiller number, total dry matter, and harvest index showed a highly significant association to single plant yield in F2, F3, and F4. In all, 21, 30, and 17 QTLs were identified in F2, F2:3, and F2:4, respectively, for yield-related traits. QTLs qPH6.1 with 12.54% phenotypic variance (PV) in F2, qPH1.1 with 13.01% PV, qTN6.1 with 10.08% PV in F2:3, and qTGW6.1 with 15.19% PV in F2:4 were identified as major effect QTLs. QTLs qSPY4.1 and qSPY6.1 were detected for grain yield in F2 and F2:3 with PV 8.5 and 6.7%, respectively. The trait enhancing alleles of QTLs qSPY4.1, qSPY6.1, qPH1.1, qTGW6.1, qTGW8.1, qGN4.1, and qTDM5.1 were from O. nivara. QTLs of the yield contributing traits were found clustered in the same chromosomal region. qTGW8.1 was identified in a 2.6 Mb region between RM3480 and RM3452 in all three generations with PV 6.1 to 9.8%. This stable and consistent qTGW8.1 allele from O. nivara can be fine mapped for identification of causal genes. From this population, lines C212, C2124, C2128, and C2143 were identified with significantly higher SPY and C2103, C2116, and C2117 had consistently higher thousand-grain weight values than both the parents and Swarna across the generations and are useful in gene discovery for target traits and further crop improvement.https://www.frontiersin.org/articles/10.3389/fpls.2022.790221/fullOryzaalien introgression linesyield QTLthousand grain weightwild species |
| spellingShingle | Kavitha Beerelli Kavitha Beerelli Divya Balakrishnan Krishnam Raju Addanki Krishnam Raju Addanki Malathi Surapaneni Venkateswara Rao Yadavalli Sarla Neelamraju Mapping of QTLs for Yield Traits Using F2:3:4 Populations Derived From Two Alien Introgression Lines Reveals qTGW8.1 as a Consistent QTL for Grain Weight From Oryza nivara Frontiers in Plant Science Oryza alien introgression lines yield QTL thousand grain weight wild species |
| title | Mapping of QTLs for Yield Traits Using F2:3:4 Populations Derived From Two Alien Introgression Lines Reveals qTGW8.1 as a Consistent QTL for Grain Weight From Oryza nivara |
| title_full | Mapping of QTLs for Yield Traits Using F2:3:4 Populations Derived From Two Alien Introgression Lines Reveals qTGW8.1 as a Consistent QTL for Grain Weight From Oryza nivara |
| title_fullStr | Mapping of QTLs for Yield Traits Using F2:3:4 Populations Derived From Two Alien Introgression Lines Reveals qTGW8.1 as a Consistent QTL for Grain Weight From Oryza nivara |
| title_full_unstemmed | Mapping of QTLs for Yield Traits Using F2:3:4 Populations Derived From Two Alien Introgression Lines Reveals qTGW8.1 as a Consistent QTL for Grain Weight From Oryza nivara |
| title_short | Mapping of QTLs for Yield Traits Using F2:3:4 Populations Derived From Two Alien Introgression Lines Reveals qTGW8.1 as a Consistent QTL for Grain Weight From Oryza nivara |
| title_sort | mapping of qtls for yield traits using f2 3 4 populations derived from two alien introgression lines reveals qtgw8 1 as a consistent qtl for grain weight from oryza nivara |
| topic | Oryza alien introgression lines yield QTL thousand grain weight wild species |
| url | https://www.frontiersin.org/articles/10.3389/fpls.2022.790221/full |
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