Genomic signatures and candidate genes of lint yield and fibre quality improvement in Upland cotton in Xinjiang.
Genomic signatures and candidate genes of lint yield and fibre quality improvement in Upland cotton in Xinjiang.
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新疆陆地棉皮棉产量和纤维品质改良的基因组特征及候选基因
DOI:
10.1111/pbi.13356
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发表时间:
2020-10
影响因子:
13.8
通讯作者:
Zhang T
中科院分区:
文献类型:
--
作者:
Han Z;Hu Y;Tian Q;Cao Y;Si A;Si Z;Zang Y;Xu C;Shen W;Dai F;Liu X;Fang L;Chen H;Zhang T
Xinjiang has been the largest and highest yield cotton production region not only in China, but also in the world. Improvements in Upland cotton cultivars in Xinjiang have occurred via pedigree selection and/or crossing of elite alleles from the former Soviet Union and other cotton producing regions of China. But it is unclear how genomic constitutions from foundation parents have been selected and inherited. Here, we deep‐sequenced seven historic foundation parents, comprising four cultivars introduced from the former Soviet Union (108Ф, C1470, 611Б and KK1543) and three from United States and Africa (DPL15, STV2B and UGDM), and re‐sequenced sixty‐nine Xinjiang modern cultivars. Phylogenetic analysis of more than 2 million high‐quality single nucleotide polymorphisms allowed their classification two groups, suggesting that Xinjiang Upland cotton cultivars were not only spawned from 108Ф, C1470, 611Б and KK1543, but also had a close kinship with DPL15, STV2B and UGDM. Notably, identity‐by‐descent (IBD) tracking demonstrated that the former Soviet Union cultivars have made a huge contribution to modern cultivar improvement in Xinjiang. A total of 156 selective sweeps were identified. Among them, apoptosis‐antagonizing transcription factor gene (GhAATF1) and mitochondrial transcription termination factor family protein gene (GhmTERF1) were highly involved in the determination of lint percentage. Additionally, the auxin response factor gene (GhARF3) located in inherited IBD segments from 108Ф and 611Б was highly correlated with fibre quality. These results provide an insight into the genomics of artificial selection for improving cotton production and facilitate next‐generation precision breeding of cotton and other crops.
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影响因子:
4.6
作者:
Chen S;Lin Z;Zhou D;Wang C;Li H;Yu R;Deng H;Tang X;Zhou S;Wang Deng X;He H
通讯作者:
He H
影响因子:
7.2
作者:
Meskauskiene, Rasa;Wuersch, Marco;Apel, Klaus
通讯作者:
Apel, Klaus
影响因子:
30.8
作者:
Jiao, Yinping;Zhao, Hainan;Lai, Jinsheng
通讯作者:
Lai, Jinsheng
影响因子:
3
作者:
Huson, Daniel H.;Richter, Daniel C.;Rausch, Christian;Dezulian, Tobias;Franz, Markus;Rupp, Regula
通讯作者:
Rupp, Regula
影响因子:
30.8
作者:
Hu, Yan;Chen, Jiedan;Zhang, Tianzhen
通讯作者:
Zhang, Tianzhen