Suppr超能文献

从南海采集的深海虾类,并着重研究它们的系统发育关系。

Deep-sea caridean shrimps collected from the South China Sea with emphasizing their phylogenetic relationships.

作者信息

Gan Zhibin, Fang Xuefeng, Li Xinzheng

机构信息

Department of Marine Organism Taxonomy & Phylogeny, Institute of Oceanology Chinese Academy of Sciences Qingdao China.

University of Chinese Academy of Sciences Beijing China.

出版信息

Ecol Evol. 2024 May 24;14(5):e11472. doi: 10.1002/ece3.11472. eCollection 2024 May.

Abstract

Despite the high biological and ecological diversity of the South China Sea, limited research has been conducted on the deep-sea species diversity of caridean shrimps. Based on the collections from three scientific expeditions conducted in the South China Sea, 31 caridean species, belonging to nine families, were reported, including the identification of two species not previously documented in this region, namely (A. Milne-Edwards, 1883) and Crosnier, 1988. In addition to morphological features, the COI and 16S gene sequences of these species were analyzed to assess their evolutionary relationships within each family. Phylogenetic analyses, with highest species coverage to date, indicated that similarity in morphological characteristics does not always lead to closer phylogenetic relationships and some defining characteristics for specific taxa are not always synapomorphies but may be the result of convergent evolution. Our results establish reliable evolutionary relationships within specific taxa and highlight the necessity for further taxonomic revisions within these taxa.

摘要

尽管南中国海具有高度的生物和生态多样性,但对深海长臂虾类物种多样性的研究却很有限。基于在南中国海进行的三次科学考察所采集的样本,共报告了9科31种长臂虾类,其中包括鉴定出该区域此前未记录的两个物种,即(米尔恩 - 爱德华兹,1883年)和克罗斯尼尔,1988年。除形态特征外,还分析了这些物种的细胞色素氧化酶亚基I(COI)和16S基因序列,以评估它们在每个科内的进化关系。系统发育分析涵盖了迄今为止最高的物种覆盖率,结果表明形态特征的相似性并不总是导致更紧密的系统发育关系,特定分类群的一些定义特征并不总是共有衍征,而可能是趋同进化的结果。我们的研究结果确立了特定分类群内可靠的进化关系,并强调了对这些分类群进行进一步分类修订的必要性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3505/11126787/2094a55e10cc/ECE3-14-e11472-g007.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