Suppr超能文献

海洋大型植物的 DNA 微条形码。

A DNA mini-barcode for marine macrophytes.

机构信息

Biological and Environmental Science and Engineering Division (BESE), King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia.

Red Sea Research Center (RSRC), King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia.

出版信息

Mol Ecol Resour. 2020 Jul;20(4):920-935. doi: 10.1111/1755-0998.13164. Epub 2020 May 16.

Abstract

Studies focusing on marine macrophyte metabarcoding from environmental samples are scarce, due to the lack of a universal barcode for these taxa, and to their poor representation in DNA databases. Here, we searched for a short barcode able to identify marine macrophytes from tissue samples; then, we created a DNA reference library which was used to identify macrophytes in eDNA from coastal sediments. Barcoding of seagrasses, mangroves and marine macroalgae (Chlorophyta, Rhodophyta and Phaeophyceae) was tested using 18 primer pairs from six barcoding genes: the plant barcodes rbcL, matK and trnL, plus the genes ITS2, COI and 18S. The 18S gene showed the highest universality among marine macrophytes, amplifying 95%-100% of samples; amplification performance of the other barcodes was limited. Taxonomy was assigned using a phylogeny-based approach to create an 18S DNA reference library. Macrophyte tissue sequences were accurately identified within their phyla (88%), order (76%), genus (71%) and species (23%). Nevertheless, out of 86 macrophytes tested, only 48% and 15% had a reference sequence at genus and at species level, respectively. Identification at these levels can be improved by more inclusive reference libraries. Using the 18S mini-barcode and the reference library, we recovered eDNA from 21 marine macrophytes in sediments, demonstrating the barcode's ability to trace primary producers that contribute to blue carbon. We expect this barcode to also be useful for other ecological questions, such as tracing macro primary producers in marine food webs.

摘要

目前针对海洋大型藻类环境样本的代谢组条形码研究较为匮乏,这主要是因为缺乏针对这些类群的通用条形码,并且这些类群在 DNA 数据库中的代表性较差。本研究旨在寻找一个能够从组织样本中鉴定海洋大型藻类的短条形码,随后创建一个 DNA 参考文库,用于鉴定沿海沉积物中宏基因组的大型藻类。我们使用来自六个条形码基因的 18 对引物(植物条形码 rbcL、matK 和 trnL,以及 ITS2、COI 和 18S 基因)对海草、红树林和海洋大型藻类(绿藻、红藻和褐藻)进行条形码编码。18S 基因在海洋大型藻类中具有最高的通用性,可扩增 95%-100%的样本;而其他条形码的扩增性能有限。使用基于系统发育的分类方法对条形码进行分类,创建 18S DNA 参考文库。利用该文库,我们可以在门(88%)、目(76%)、属(71%)和种(23%)水平上准确鉴定大型藻类组织序列。然而,在测试的 86 种大型藻类中,只有 48%和 15%的藻类在属和种水平上分别具有参考序列。通过更全面的参考文库可以提高鉴定的准确性。使用 18S 迷你条形码和参考文库,我们从沉积物中回收了 21 种海洋大型藻类的 eDNA,证明了该条形码能够追踪有助于蓝碳的初级生产者。我们预计该条形码还可用于其他生态问题,如追踪海洋食物网中的大型初级生产者。

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