Format: ORAL

Zhiyao Ma1, #, Xiaodong Xu1, #, Wenjing Peng1,2,Hua Xiao1, Zhongjie Liu1, Wenwen Liu1, Fan Zhang1, Tianhao Zhang1, Zhuyifu Chen1, Yuanyuan Luo1, Yanling Peng1, Jun Wen3, Brandon S. Gaut4, Yongfeng Zhou1

1 National Key Laboratory of Tropical Crop Breeding, Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Key Laboratory of Synthetic Biology, Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China 2 College of Agriculture, Guangxi University, Nanning, China 3 Department of Botany, Smithsonian Institution, National Museum of Natural History, Washington, DC 20013-7012, USA 4 Department of Ecology and Evolutionary Biology, University of California, Irvine, CA 92697, USA

Wild grapes show a high level of species diversity and have been widely recognized as important germplasm resources of wine, table grapes, and resistance to biotic and abiotic stresses for the grape industry. However, the local adaptation and drivers of diversification of genus Vitis L. remain poorly understood. Hybridization and introgression events of Vitis are still lacking a comprehensive knowledge regarding their frequency, pattern, and adaptive landscape, particularly at the genome-wide scale. The reticulated evolutions, local adaptations and responses to future climate change of several widely distributed wild grape in East Asia are investigated based on population genomic data.Species network analyses identified several hybridization events within East Asian Vitis. These interspecific hybridization events may have caused the topological discordances and relatively low support detected in our analyses. Ecological niche modeling shows that most of the diversification of East Asian Vitis species is driven by temperature and precipitation environmental variables. Sympatric parallel diversifications of major clades also may have facilitated the rich diversity in East Asian Vitis.Our results emphasize the significance of comprehensive genomic data, including single-nucleotide polymorphisms (SNPs), insertion/deletions and structural variations (SVs), to predict environmental adaption of wild grapes in the context of rapid climate change.