Modern crop varieties display a degree of mismatch between their current distributions and the suitability of the local climate for their productivity.To address this issue,we present Oryza CLIMtools(https://gramene.o...Modern crop varieties display a degree of mismatch between their current distributions and the suitability of the local climate for their productivity.To address this issue,we present Oryza CLIMtools(https://gramene.org/CLIMtools/oryza_v1.0/),thefirst resource for pan-genome prediction of climate-associated genetic variants in a crop species.Oryza CLIMtools consists of interactive web-based databases that enable the user to(1)explore the local environments of traditional rice varieties(landraces)in South-East Asia and(2)investigate the environment by genome associations for 658 Indica and 283 Japonica rice landrace accessions collected from georeferenced local environments and included in the 3K Rice Ge-nomes Project.We demonstrate the value of these resources by identifying an interplay betweenflowering time and temperature in the local environment that is facilitated by adaptive natural variation in OsHD2 and disrupted by a natural variant in OsSOC1.Prior quantitative trait locus analysis has suggested the impor-tance of heterotrimeric G proteins in the control of agronomic traits.Accordingly,we analyzed the climate associations of natural variants in the different heterotrimeric G protein subunits.We identified a coordi-nated role of G proteins in adaptation to the prevailing potential evapotranspiration gradient and revealed their regulation of key agronomic traits,including plant height and seed and panicle length.We conclude by highlighting the prospect of targeting heterotrimeric G proteins to produce climate-resilient crops.展开更多
基金supported by the National Institute of General Medical Sciences of the NIH under award number 5R01GM126079 to S.M.A.NSF-IOS-2122357 to Prof.Philip C.BevilacquaS.M.A.K.J.K.acknowledges support from NIH training grant 5T32GM102057.
文摘Modern crop varieties display a degree of mismatch between their current distributions and the suitability of the local climate for their productivity.To address this issue,we present Oryza CLIMtools(https://gramene.org/CLIMtools/oryza_v1.0/),thefirst resource for pan-genome prediction of climate-associated genetic variants in a crop species.Oryza CLIMtools consists of interactive web-based databases that enable the user to(1)explore the local environments of traditional rice varieties(landraces)in South-East Asia and(2)investigate the environment by genome associations for 658 Indica and 283 Japonica rice landrace accessions collected from georeferenced local environments and included in the 3K Rice Ge-nomes Project.We demonstrate the value of these resources by identifying an interplay betweenflowering time and temperature in the local environment that is facilitated by adaptive natural variation in OsHD2 and disrupted by a natural variant in OsSOC1.Prior quantitative trait locus analysis has suggested the impor-tance of heterotrimeric G proteins in the control of agronomic traits.Accordingly,we analyzed the climate associations of natural variants in the different heterotrimeric G protein subunits.We identified a coordi-nated role of G proteins in adaptation to the prevailing potential evapotranspiration gradient and revealed their regulation of key agronomic traits,including plant height and seed and panicle length.We conclude by highlighting the prospect of targeting heterotrimeric G proteins to produce climate-resilient crops.
