Molecular dissection of connected rice populations revealed important genomic regions for agronomic and biofortification traits.

Autor: Palanog AD; Rice Breeding Innovations Platform, International Rice Research Institute, Los Baños, Laguna, Philippines.; College of Agriculture and Food Science, University of the Philippines, Los Baños, Laguna, Philippines.; PhilRice Negros Branch Station, Philippine Rice Research Institute, Murcia, Negros Occidental, Philippines., Nha CT; Cant Ho University, Cant Ho, Vietnam., Descalsota-Empleo GIL; College of Agriculture, University of Southern Mindanao, Kabacan, North Cotabato, Philippines., Calayugan MI; College of Agriculture and Food Science, University of the Philippines, Los Baños, Laguna, Philippines., Swe ZM; Rice Breeding Innovations Platform, International Rice Research Institute, Los Baños, Laguna, Philippines., Amparado A; Rice Breeding Innovations Platform, International Rice Research Institute, Los Baños, Laguna, Philippines., Inabangan-Asilo MA; Rice Breeding Innovations Platform, International Rice Research Institute, Los Baños, Laguna, Philippines., Hernandez JE; College of Agriculture and Food Science, University of the Philippines, Los Baños, Laguna, Philippines., Sta Cruz PC; College of Agriculture and Food Science, University of the Philippines, Los Baños, Laguna, Philippines., Borromeo TH; College of Agriculture and Food Science, University of the Philippines, Los Baños, Laguna, Philippines., Lalusin AG; College of Agriculture and Food Science, University of the Philippines, Los Baños, Laguna, Philippines., Mauleon R; Rice Breeding Innovations Platform, International Rice Research Institute, Los Baños, Laguna, Philippines.; College of Agriculture, University of Southern Mindanao, Kabacan, North Cotabato, Philippines., McNally KL; Rice Breeding Innovations Platform, International Rice Research Institute, Los Baños, Laguna, Philippines., Swamy BPM; Rice Breeding Innovations Platform, International Rice Research Institute, Los Baños, Laguna, Philippines.
Jazyk: angličtina
Zdroj: Frontiers in plant science [Front Plant Sci] 2023 Mar 22; Vol. 14, pp. 1157507. Date of Electronic Publication: 2023 Mar 22 (Print Publication: 2023).
DOI: 10.3389/fpls.2023.1157507
Abstrakt: 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: qZn 5.2 , qFe 7.1 , qGY 10.1 , qDF 7.1 , qPH 1.1 , qNT 4.1 , qPT 4.1 , qPL 1.2 , qTGW 5.1 , qGL 3.1 , and qGW 6.1 , which can be used in rice genomics assisted breeding. A major QTL ( qZn 5.2 ) for grain Zn concentration has been detected on chromosome 5 that accounted for 13% of R 2 . In all, 26 QTL clusters were identified on different chromosomes. qPH 6.1 epistatically interacted with qZn 5.1 and qGY 6.2 . Most of QTLs were co-located with functionally related candidate genes indicating the accuracy of QTL mapping. The genomic region of qZn 5.2 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.
Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
(Copyright © 2023 Palanog, Nha, Descalsota-Empleo, Calayugan, Swe, Amparado, Inabangan-Asilo, Hernandez, Sta. Cruz, Borromeo, Lalusin, Mauleon, McNally and Swamy.)
Databáze: MEDLINE
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