De novo genome assembly of a high-protein soybean variety HJ117
文献类型: 外文期刊
第一作者: Liu, Zhi
作者: Liu, Zhi;Yang, Qing;Liu, Bingqiang;Li, Chenhui;Shi, Xiaolei;Wei, Yu;Yang, Chunyan;Zhang, Mengchen;Yan, Long;Li, Chenhui;Guan, Yuefeng
作者机构:
关键词: Soybean; De novo assembly; Genome feature; High protein content
期刊名称:BMC GENOMIC DATA ( 影响因子:1.9; 五年影响因子:1.9 )
ISSN:
年卷期: 2024 年 25 卷 1 期
页码:
收录情况: SCI
摘要: ObjectivesSoybean is an important feed and oil crop in the world due to its high protein and oil content. China has a collection of more than 43,000 soybean germplasm resources, which provides a rich genetic diversity for soybean breeding. However, the rich genetic diversity poses great challenges to the genetic improvement of soybean. This study reports on the de novo genome assembly of HJ117, a soybean variety with high protein content of 52.99%. These data will prove to be valuable resources for further soybean quality improvement research, and will aid in the elucidation of regulatory mechanisms underlying soybean protein content.Data descriptionWe generated a contiguous reference genome of 1041.94 Mb for HJ117 using a combination of Illumina short reads (23.38 Gb) and PacBio long reads (25.58 Gb), with high-quality sequence coverage of approximately 22.44x and 24.55x, respectively. HJ117 was developed through backcross breeding, using Jidou 12 as the recurrent parent and Chamoshidou as the donor parent. The assembly was further assisted by 114.5 Gb Hi-C data (109.9x), resulting in a contig N50 of 19.32 Mb and scaffold N50 of 51.43 Mb. Notably, Core Eukaryotic Genes Mapping Approach (CEGMA) assessment and Benchmarking Universal Single-Copy Orthologs (BUSCO) assessment results indicated that most core eukaryotic genes (97.18%) and genes in the BUSCO dataset (99.4%) were identified, and 96.44% of the genomic sequences were anchored onto twenty pseudochromosomes.
分类号:
- 相关文献
作者其他论文 更多>>
-
Twinstar is a chitin synthase interacting protein with an essential role in insect cuticle biosynthesis
作者:Zou, Xu;Chen, Jiqiang;Yang, Qing;Duan, Yanwei;Zhu, Weixing;Yang, Qing
关键词:chitin; chitin synthase; Twinstar; insect cuticle; pest control
-
Novel conjugated 5-alkenyl rhodanine tethered 1,4-benzodioxane derivatives as dual-chitinases inhibitors to hinder the growth of Asian corn borer
作者:Chen, Jinxiu;Shi, Dongmei;Jiang, Zhiyang;Zou, Renxuan;Zhang, Jingyu;Han, Qing;Wang, Na;Duan, Hongxia;Chen, Jinxiu;Shi, Dongmei;Jiang, Zhiyang;Zou, Renxuan;Zhang, Jingyu;Han, Qing;Wang, Na;Duan, Hongxia;Xu, Zhijian;Yang, Qing
关键词:O. furnacalis; Chitinase; 5-alkenylthiazolidinone; 1,4-benzodioxane; Dual-chitinases inhibitor
-
Novel 5-alkenylthiothiazolidinone scaffold discovery as Multi-Chitinases inhibitors to arrest the molting of Asian corn borer
作者:Shi, Dongmei;Ji, Xinge;Zou, Renxuan;Jiang, Zhiyang;Han, Qing;Huang, Jiaxing;Duan, Hongxia;Shi, Dongmei;Ji, Xinge;Zou, Renxuan;Jiang, Zhiyang;Han, Qing;Huang, Jiaxing;Duan, Hongxia;Xu, Zhijian;Duan, Yangwei;Yang, Qing;Duan, Yangwei;Yang, Qing
关键词:5-alkenylthiothiazolidinone scaffold; Multichitinase inhibitor; Amide bond; Asian corn borer; insect growth regulator
-
Soybean yield estimation and lodging classification based on UAV multi-source data and self-supervised contrastive learning
作者:Zhou, Longyu;Chen, Haochong;Feng, Puyu;Ma, Yuntao;Zhang, Yong;Wang, Lei;Li, Mingxue;Sun, Xuhong;Sun, Guangyao;Yan, Long;Qiu, Lijuan;Li, Yinghui
关键词:Remote sensing; 3D reconstruction; Point cloud; Multispectral; Structure from motion
-
The beetle's structural protein CPCFC making elytra tough and rigid
作者:Bao, Han;Liu, Yuantao;Yang, Qing;Duan, Yanwei;Chen, Lei;Yang, Qing;Yang, Qing
关键词:biomaterial; chitin hydrogel; CPCFC; insect cuticle
-
Discovery and Characterization of Chitin Synthase Inhibitors with Novel Mechanism for Control of Tetranychus urticae
作者:Wang, Dong;Wang, Dong;Chen, Wei;Yang, Qing;Yu, Ailing;Yang, Qing;Zhang, Zheng;Zhou, Feng;Zhou, Jian;Bian, Qiang
关键词:Tetranychus urticae; insecticide; chitin synthase; inhibitor; nanoemulsion
-
Bridging the gap between hyperspectral imaging and crop breeding: soybean yield prediction and lodging classification with prototype contrastive learning
作者:Sun, Guangyao;Han, Shiteng;Xu, Yun;Ma, Yuntao;Zhang, Yong;Wang, Lei;Zhou, Longyu;Fei, Shuaipeng;Xiao, Shunfu;Ma, Yuntao;Yan, Long;Che, Yingpu;Li, Yinghui;Qiu, Lijuan
关键词:Unmanned Aerial Vehicle; Deep Learning; Resnet; Soybean Yield and Lodging Prediction