Molecular dissection of connected rice populations revealed important genomic regions for agronomic and biofortification traits
| cg.authorship.types | CGIAR and developing country institute | en |
| cg.contributor.affiliation | International Rice Research Institute | en |
| cg.contributor.affiliation | Can Tho University | en |
| cg.contributor.affiliation | University of Southern Mindanao | en |
| cg.contributor.affiliation | Philippine Rice Research Institute | en |
| cg.contributor.affiliation | University of the Philippines | en |
| cg.contributor.crp | Excellence in Breeding | |
| cg.contributor.donor | HarvestPlus | en |
| cg.contributor.donor | Bill & Melinda Gates Foundation | en |
| cg.contributor.donor | Department of Science and Technology, Philippines | en |
| cg.contributor.donor | CGIAR Trust Fund | en |
| cg.contributor.initiative | Accelerated Breeding | |
| cg.coverage.country | Philippines | |
| cg.coverage.country | Vietnam | |
| cg.coverage.iso3166-alpha2 | PH | |
| cg.coverage.iso3166-alpha2 | VN | |
| cg.coverage.region | Asia | |
| cg.coverage.region | South-eastern Asia | |
| cg.creator.identifier | Alvin Palanog: 0000-0003-0064-9451 | |
| cg.creator.identifier | Gwen Iris Descalsota-Empleo: 0000-0003-0043-9040 | |
| cg.creator.identifier | Mark Ian Calayugan: 0000-0003-2268-5971 | |
| cg.creator.identifier | Pompe C. Sta. Cruz: 0000-0003-4058-885X | |
| cg.creator.identifier | Teresita Borromeo: 0000-0002-8625-4110 | |
| cg.creator.identifier | Ramil Mauleon: 0000-0001-8512-144X | |
| cg.creator.identifier | Kenneth McNally: 0000-0002-9613-5537 | |
| cg.howPublished | Formally Published | en |
| cg.identifier.doi | https://doi.org/10.3389/fpls.2023.1157507 | en |
| cg.isijournal | ISI Journal | en |
| cg.issn | 1664-462X | en |
| cg.journal | Frontiers in Plant Science | en |
| cg.reviewStatus | Peer Review | en |
| cg.subject.actionArea | Genetic Innovation | |
| cg.subject.impactArea | Nutrition, health and food security | |
| cg.subject.impactPlatform | Nutrition, Health and Food Security | |
| cg.subject.sdg | SDG 2 - Zero hunger | en |
| cg.volume | 14 | en |
| dc.contributor.author | Palanog, Alvin D. | en |
| dc.contributor.author | Chau, Thanh Nha | en |
| dc.contributor.author | Descalsota-Empleo, Gwen Iris L. | en |
| dc.contributor.author | Swe, Zin Mar | en |
| dc.contributor.author | Amparado, Amery | en |
| dc.contributor.author | Inabangan-Asilo, Mary Ann | en |
| dc.contributor.author | Hernandez, Jose E. | en |
| dc.contributor.author | Sta. Cruz, Pompe C. | en |
| dc.contributor.author | Borromeo, Teresita H. | en |
| dc.contributor.author | Mauleon, Ramil | en |
| dc.contributor.author | Lalusin, Antonio G. | en |
| dc.contributor.author | McNally, Kenneth L. | en |
| dc.contributor.author | Swamy, B. P. Mallikarjuna | en |
| dc.contributor.author | Calayugan, Mark Ian | en |
| dc.date.accessioned | 2023-11-04T13:46:41Z | en |
| dc.date.available | 2023-11-04T13:46:41Z | en |
| dc.identifier.uri | https://hdl.handle.net/10568/132726 | |
| dc.title | Molecular dissection of connected rice populations revealed important genomic regions for agronomic and biofortification traits | en |
| dcterms.abstract | Breeding staple crops with increased micronutrient concentration is a sustainable approach to address micronutrient malnutrition. We carried out Multi-Cross QTL analysis and Inclusive Composite Interval Mapping for 11 agronomic, yield and biofortification traits using four connected RILs populations of rice. Overall, MC-156 QTLs were detected for agronomic (115) and biofortification (41) traits, which were higher in number but smaller in effects compared to single population analysis. The MC-QTL analysis was able to detect important QTLs viz: qZn5.2, qFe7.1, qGY10.1, qDF7.1, qPH1.1, qNT4.1, qPT4.1, qPL1.2, qTGW5.1, qGL3.1, and qGW6.1, which can be used in rice genomics assisted breeding. A major QTL (qZn5.2) for grain Zn concentration has been detected on chromosome 5 that accounted for 13% of R2. In all, 26 QTL clusters were identified on different chromosomes. qPH6.1 epistatically interacted with qZn5.1 and qGY6.2. Most of QTLs were co-located with functionally related candidate genes indicating the accuracy of QTL mapping. The genomic region of qZn5.2 was co-located with putative genes such as OsZIP5, OsZIP9, and LOC_OS05G40490 that are involved in Zn uptake. These genes included polymorphic functional SNPs, and their promoter regions were enriched with cis-regulatory elements involved in plant growth and development, and biotic and abiotic stress tolerance. Major effect QTL identified for biofortification and agronomic traits can be utilized in breeding for Zn biofortified rice varieties. | en |
| dcterms.accessRights | Open Access | |
| dcterms.audience | Academics | en |
| dcterms.audience | CGIAR | en |
| dcterms.audience | Development Practitioners | en |
| dcterms.audience | Extension | en |
| dcterms.audience | Farmers | en |
| dcterms.audience | General Public | en |
| dcterms.audience | Scientists | en |
| dcterms.available | 2023-03-22 | |
| dcterms.bibliographicCitation | Palanog, Alvin D., Chau Thanh Nha, Gwen Iris L. Descalsota-Empleo, Mark Ian Calayugan, Zin Mar Swe, Amery Amparado, Mary Ann Inabangan-Asilo et al. "Molecular dissection of connected rice populations revealed important genomic regions for agronomic and biofortification traits." Frontiers in plant science 14 (2023): 1157507. | en |
| dcterms.issued | 2023-03-22 | |
| dcterms.language | en | |
| dcterms.license | CC-BY-4.0 | |
| dcterms.publisher | Frontiers Media | en |
| dcterms.subject | rice | en |
| dcterms.subject | biofortification | en |
| dcterms.subject | micronutrients | en |
| dcterms.subject | zinc | en |
| dcterms.subject | quantitative trait loci | en |
| dcterms.subject | gene pools | en |
| dcterms.subject | population factors | en |
| dcterms.type | Journal Article |