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质体超级条形码作为区分禾本科羊茅属植物种的工具。

Plastid super-barcodes as a tool for species discrimination in feather grasses (Poaceae: Stipa).

机构信息

Department of Botany and Nature Protection, Faculty of Biology and Biotechnology, University of Warmia and Mazury in Olsztyn, Olsztyn, Poland.

Institute of Botany, Faculty of Biology, Jagiellonian University, Kraków, Poland.

出版信息

Sci Rep. 2018 Jan 31;8(1):1924. doi: 10.1038/s41598-018-20399-w.

Abstract

Present study was designed to verify which or if any of plastome loci is a hotspot region for mutations and hence might be useful for molecular species identification in feather grasses. 21 newly sequenced complete plastid genomes representing 19 taxa from the genus of Stipa were analyzed in search of the most variable and the most discriminative loci within Stipa. The results showed that the problem with selecting a good barcode locus for feather grasses lies in the very low level of genetic diversity within its plastome. None of the single chloroplast loci is polymorphic enough to play a role of a barcode or a phylogenetic marker for Stipa. The biggest number of taxa was successfully identified by the analysis of 600 bp long DNA fragment comprising a part of rbcL gene, the complete rbcL-rpl23 spacer and a part of rpl23 gene. The effectiveness of multi-locus barcode composed of six best-performing loci for Stipa (ndhH, rpl23, ndhF-rpl32, rpl32-ccsA, psbK-psbI and petA-psbJ) didn't reach 70% of analyzed taxa. The analysis of complete plastome sequences as a super-barcode for Stipa although much more effective, still didn't allow for discrimination of all the analyzed taxa of feather grasses.

摘要

本研究旨在验证质体基因组中的哪些或是否存在热点突变区域,从而可能有助于羽毛草属植物的分子物种鉴定。对来自芨芨草属的 19 个分类群的 21 个新测序的完整质体基因组进行了分析,以寻找芨芨草属内最具变异性和最具区分性的基因座。结果表明,为羽毛草属选择良好的条码基因座的问题在于其质体基因组中的遗传多样性非常低。没有一个单一的叶绿体基因座具有足够的多态性,可以作为条码或芨芨草属的系统发育标记。通过分析包含 rbcL 基因部分、完整 rbcL-rpl23 间隔区和 rpl23 基因部分的 600bp 长 DNA 片段,成功鉴定了最大数量的分类群。由六个表现最好的基因座(ndhH、rpl23、ndhF-rpl32、rpl32-ccsA、psbK-psbI 和 petA-psbJ)组成的多基因座条码的有效性未达到分析分类群的 70%。作为芨芨草属的超级条码的完整质体序列分析虽然更有效,但仍无法区分所有分析的羽毛草属分类群。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/01d0/5792575/fb906dffdf85/41598_2018_20399_Fig1_HTML.jpg

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