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

Frontiers in Plant Science

Plant Science

Chau Thanh Nha¹  Antonio G. Lalusin²  Mark Ian Calayugan²  Jose E. Hernandez²  Teresita H. Borromeo²  Pompe C. Sta. Cruz²  Gwen Iris L. Descalsota-Empleo³  Amery Amparado⁴  Zin Mar Swe⁴  Kenneth L. McNally⁴  Mary Ann Inabangan-Asilo⁴  B. P. Mallikarjuna Swamy⁴  Alvin D. Palanog⁵  Ramil Mauleon⁶ 

[1] Cant Ho University, Cant Ho, Vietnam;College of Agriculture and Food Science, University of the Philippines, Los Baños, Laguna, Philippines;College of Agriculture, University of Southern Mindanao, Kabacan, North Cotabato, Philippines;Rice Breeding Innovations Platform, International Rice Research Institute, Los Baños, Laguna, Philippines;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;Rice Breeding Innovations Platform, International Rice Research Institute, Los Baños, Laguna, Philippines;College of Agriculture, University of Southern Mindanao, Kabacan, North Cotabato, Philippines;

关键词: rice;    biofortification;    micronutrients;    Zn;    QTL;    candidate genes;    connected populations;   

DOI  :  10.3389/fpls.2023.1157507

 received in 2023-02-02, accepted in 2023-02-20,  发布年份 2023

来源: Frontiers

【 摘 要 】

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.

【 授权许可】

Unknown   
Copyright © 2023 Palanog, Nha, Descalsota-Empleo, Calayugan, Swe, Amparado, Inabangan-Asilo, Hernandez, Sta. Cruz, Borromeo, Lalusin, Mauleon, McNally and Swamy