Suppr超能文献

稗草叶绿体基因组:对两种杂草物种进化和分类鉴定的见解

Echinochloa chloroplast genomes: insights into the evolution and taxonomic identification of two weedy species.

作者信息

Ye Chu-Yu, Lin Zhangxiang, Li Gengmi, Wang Ying-Ying, Qiu Jie, Fu Fei, Zhang Haiqiang, Chen Li, Ye Sisi, Song Weijie, Jin Gulei, Zhu Jinwen, Lu Yongliang, Guo Longbiao, Fan Longjiang

机构信息

Department of Agronomy, College of Agriculture and Biotechnology, Zhejiang University, Hangzhou, China.

State Key Laboratory of Rice Biology, China National Rice Research Institute, Chinese Academy of Agricultural Sciences, Hangzhou, China.

出版信息

PLoS One. 2014 Nov 26;9(11):e113657. doi: 10.1371/journal.pone.0113657. eCollection 2014.

Abstract

The genus Echinochloa (Poaceae) includes numerous problematic weeds that cause the reduction of crop yield worldwide. To date, DNA sequence information is still limited in the genus Echinochloa. In this study, we completed the entire chloroplast genomes of two Echinochloa species (Echinochloa oryzicola and Echinochloa crus-galli) based on high-throughput sequencing data from their fresh green leaves. The two Echinochloa chloroplast genomes are 139,891 and 139,800 base pairs in length, respectively, and contain 131 protein-coding genes, 79 indels and 466 substitutions helpful for discrimination of the two species. The divergence between the genus Echinochloa and Panicum occurred about 21.6 million years ago, whereas the divergence between E. oryzicola and E. crus-galli chloroplast genes occurred about 3.3 million years ago. The two reported Echinochloa chloroplast genome sequences contribute to better understanding of the diversification of this genus.

摘要

稗属(禾本科)包含许多造成全球作物减产的疑难杂草。迄今为止,稗属的DNA序列信息仍然有限。在本研究中,我们基于新鲜绿叶的高通量测序数据,完成了两个稗属物种(稻稗和稗)的叶绿体全基因组测序。两个稗属叶绿体基因组长度分别为139,891和139,800碱基对,包含131个蛋白质编码基因、79个插入缺失和466个有助于区分这两个物种的替换位点。稗属与黍属之间的分化发生在约2160万年前,而稻稗和稗叶绿体基因之间的分化发生在约330万年前。所报道的两个稗属叶绿体基因组序列有助于更好地理解该属的多样化。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f4ac/4245208/efca861372d3/pone.0113657.g001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验