项目编号 PRJCA008608
项目标题 Karyotype evolution and sex determination analysis of Mulberry genome sequencing data
涉及领域 Evolution
数据类型 Whole genome sequencing
Epigenomics
Transcriptome or Gene expression
Genome sequencing and assembly
Raw sequence reads
Genome sequencing
Assembly
物种名称 Morus x mizuho
Morus notabilis
Morus yunnanensis
Morus alba
Morus
描述信息 Wild mulberries are valuable genetic resources for studying evolution of karyotype and sex determination. Morus. notabilis and Morus. yunnanensis are obviously different from the cultivated mulberry (Morus alba) in karyotype and adaptability. Their underlying mechanisms of adaptation and contributions to the cultivated mulberry remain unknown. By using a combination of the single molecule real-time (SMRT) sequencing technology from Pacific Biosciences (PacBio), next-generation sequencing technology, and high-resolution chromosome conformation capture (Hi-C), the genome of two wild mulberry species M. notabilis and M. yunnanensis were sequenced and assembled, respectively.
样品范围 Multiisolate
发布日期 2022-03-28
出版信息
PubMed ID 文章标题 杂志名称 Doi 发表年份
40872193 Extensive nrDNA Polymorphism in Morus L. and Its Application Plants 10.3390/plants14162570 2025
36055564 Chromosome-level Genomes Reveal the Genetic Basis of Descending Dysploidy and Sex Determination in Morus Plants Genomics, Proteomics & Bioinformatics 10.1016/j.gpb.2022.08.005 2022
项目资金来源
机构 项目类型 授权项目ID 授权项目名称
Ministry of Science and Technology of the People's Republic of China (MOST) National Key Technologies R&D Program 2019YFD1000604
Ministry of Science and Technology of the People's Republic of China (MOST) China Agriculture Research System CARS-18-ZJ0201
Forestry Promotion by Science and Technology Program of Chongqing Forestry Promotion by Science and Technology Program of Chongqing Yulinkeyan2020-2
提交者 Aichun Zhao (zhaoaichun@swu.edu.cn)
提交单位 Southwest University
提交日期 2022-03-10

项目包含数据信息

资源名称 描述
BioSample (48)  show -
GSA (1) -
CRA006420 Karyotype evolution and sex determination analysis of Mulberry genome sequencing data