AUTHOR=Volante Andrea , Desiderio Francesca , Tondelli Alessandro , Perrini Rosaria , Orasen Gabriele , Biselli Chiara , Riccardi Paolo , Vattari Alessandra , Cavalluzzo Daniela , Urso Simona , Ben Hassen Manel , Fricano Agostino , Piffanelli Pietro , Cozzi Paolo , Biscarini Filippo , Sacchi Gian Attilio , Cattivelli Luigi , Valè Giampiero 

TITLE=Genome-Wide Analysis of japonica Rice Performance under Limited Water and Permanent Flooding Conditions

JOURNAL=Frontiers in Plant Science

VOLUME=8

YEAR=2017

URL=https://www.frontiersin.org/journals/plant-science/articles/10.3389/fpls.2017.01862

DOI=10.3389/fpls.2017.01862

ISSN=1664-462X

ABSTRACT=<p>A rice GWAS panel of 281 accessions of <italic>japonica</italic> rice was phenotypically characterized for 26 traits related to phenology, plant and seed morphology, physiology and yield for 2 years in field conditions under permanent flooding (PF) and limited water (LW). A genome-wide analysis uncovered a total of 160 significant marker-trait associations (MTAs), of which 32 were LW-specific, 59 were PF-specific, and 69 were in common between the two water management systems. LW-specific associations were identified for several agronomic traits including days to maturation, days from flowering to maturation, leaf traits, plant height, panicle and seed traits, hundred grain weight, yield and tillering. Significant MTAs were detected across all the 12 rice chromosomes, while clusters of effects influencing different traits under LW or in both watering conditions were, respectively, observed on chromosomes 4, 8, and 12 and on chromosomes 1, 3, 4, 5, and 8. The analysis of genes annotated in the Nipponbare reference sequence and included in the regions associated to traits related to plant morphology, grain yield, and physiological parameters allowed the identification of genes that were demonstrated to affect the respective traits. Among these, three (<italic>OsOFP2, Dlf1, OsMADS56</italic>) and seven (<italic>SUI1, Sd1, OsCOL4, Nal1, OsphyB, GW5, Ehd1</italic>) candidate genes were, respectively, identified to co-localize with LW-specific associations and associations in common between the two water treatments. For several LW-specific MTAs, or in common among the two treatments, positional co-localizations with previously identified QTLs for rice adaptation to water shortages were observed, a result that further supports the role of the loci identified in this work in conferring adaptation to LW. The most robust associations identified here could represent suitable targets for genomic selection approaches to improve yield-related traits under LW.</p>