Identification of genomic regions associated with agronomic and biofortification traits in DH populations of rice.

Autor: Swamy BPM; Plant Breeding Platform, International Rice Research Institute (IRRI), Metro Manila, Philippines., Descalsota GIL; Plant Breeding Platform, International Rice Research Institute (IRRI), Metro Manila, Philippines.; University of Southern Mindanao, Kabacan, Cotabato, Philippines., Nha CT; Cuu Long Delta Rice Research Institute (CLRRI), Can Tho, Vietnam., Amparado A; Plant Breeding Platform, International Rice Research Institute (IRRI), Metro Manila, Philippines., Inabangan-Asilo MA; Plant Breeding Platform, International Rice Research Institute (IRRI), Metro Manila, Philippines., Manito C; Plant Breeding Platform, International Rice Research Institute (IRRI), Metro Manila, Philippines., Tesoro F; Plant Breeding Platform, International Rice Research Institute (IRRI), Metro Manila, Philippines., Reinke R; Plant Breeding Platform, International Rice Research Institute (IRRI), Metro Manila, Philippines.
Jazyk: angličtina
Zdroj: PloS one [PLoS One] 2018 Aug 10; Vol. 13 (8), pp. e0201756. Date of Electronic Publication: 2018 Aug 10 (Print Publication: 2018).
DOI: 10.1371/journal.pone.0201756
Abstrakt: Rice provides energy and nutrition to more than half of the world's population. Breeding rice varieties with the increased levels of bioavailable micronutrients is one of the most sustainable approaches to tackle micronutrient malnutrition. So, high zinc and iron content in the grain are primary targets in rice biofortification breeding. In this study, we conducted QTL mapping using doubled haploid (DH) populations, PSBRc82 x Joryeongbyeo and PSBRc82 x IR69428, phenotyped for agronomic traits and micronutrients during two growing seasons and using genotypic information from analysis with the 6K SNP chip. A number of DH lines were identified as having high grain Zn and Fe content in polished rice. Importantly, we identified 20 QTLs for agronomic traits and 59 QTLs for a number of biofortification traits. Of the 79 QTLs, 12 were large-effect QTLs (>25% PVE), nine QTLs were consistent across seasons in either population, and one QTL was identified in both populations. Moreover, at least two QTLs were clustered in defined regions of chromosomes 1, 2, 3, 4, 5, 7 and 9. Eight epistatic interactions were detected for Cu, Mg, Na, and Zn in population 1. Furthermore, we identified several candidate genes near QTLs for grain Zn (OsNRAMP, OsNAS, OsZIP, OsYSL, OsFER, and OsZIFL family) and grain yield (OsSPL14 and OsSPL16). These new QTLs and candidate genes help to further elucidate the genetic basis for grain micronutrient concentration, and may prove useful for marker assisted breeding for this important trait.
Competing Interests: The authors have declared that no competing interests exist.
Databáze: MEDLINE
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