Genome Assembly and Population Resequencing Reveal the Geographical Divergence of Shanmei(Rubus corchorifolius)
- Author:
Yang YINQING
1
;
Zhang KANG
;
Xiao YA
;
Zhang LINGKUI
;
Huang YILE
;
Li XING
;
Chen SHUMIN
;
Peng YANSONG
;
Yang SHUHUA
;
Liu YONGBO
;
Cheng FENG
Author Information
1. Institute of Vegetables and Flowers,Chinese Academy of Agricultural Sciences,Key Laboratory of Biology and Genetic Improvement of Horticultural Crops,Ministry of Agriculture and Rural Affairs,Sino-Dutch Joint Laboratory of Horticultural Genomics,Beijing 100081,China
- Keywords:
Rubus corchorifolius;
Genome assembly;
Resequencing;
Divergence;
Genome evolution
- From:
Genomics, Proteomics & Bioinformatics
2022;(6):1106-1118
- CountryChina
- Language:Chinese
-
Abstract:
Rubus corchorifolius(Shanmei or mountain berry,2n=14)is widely distributed in China,and its fruits possess high nutritional and medicinal values.Here,we reported a high-quality chromosome-scale genome assembly of Shanmei,with contig size of 215.69 Mb and 26,696 genes.Genome comparison among Rosaceae species showed that Shanmei and Fupenzi(Rubus chingii Hu)were most closely related,followed by blackberry(Rubus occidentalis),and that environmental adaptation-related genes were expanded in the Shanmei genome.Further resequenc-ing of 101 samples of Shanmei collected from four regions in the provinces of Yunnan,Hunan,Jiangxi,and Sichuan in China revealed that among these samples,the Hunan population of Shanmei possessed the highest diversity and represented the more ancestral population.Moreover,the Yunnan population underwent strong selection based on the nucleotide diversity,linkage dise-quilibrium,and historical effective population size analyses.Furthermore,genes from candidate genomic regions that showed strong divergence were significantly enriched in the flavonoid biosyn-thesis and plant hormone signal transduction pathways,indicating the genetic basis of adaptation of Shanmei to the local environment.The high-quality assembled genome and the variome dataset of Shanmei provide valuable resources for breeding applications and for elucidating the genome evo-lution and ecological adaptation of Rubus species.
