Plastid super-barcodes as a tool for species discrimination in feather grasses (Poaceae: Stipa).
Plastid super-barcodes as a tool for species discrimination in feather grasses (Poaceae: Stipa).
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DOI：
10.1038/s41598-018-20399-w
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发表时间：
2018-01-31
影响因子：
4.6
通讯作者：
Sawicki J
中科院分区：
文献类型：
--
作者：
Krawczyk K;Nobis M;Myszczyński K;Klichowska E;Sawicki J
本研究旨在验证哪一个或任何一个质体体基因座是突变的热点区域，因此可能有助于羽毛草的分子物种鉴定。对针茅属19个类群的21个新测序的叶绿体全基因组进行了分析，寻找针茅属内变异最大、最具区分性的基因座。结果表明，为羽毛草选择一个好的条形码座位的问题在于其质体内的遗传多样性水平很低。没有一个单一的叶绿体基因座具有足够的多态性，不足以作为针茅的条形码或系统发育标记。通过对含有部分rbcL基因、完整的rbcL-rpl23间隔区和部分rpl23基因的600 长片段的分析，成功地鉴定出最多的类群。由6个表现最好的基因座(ndhH、rpl23、ndhF-rpl32、rpl32-CCSA、psbK-PSBI和Peta-PSBJ)组成的多基因座条形码的有效性未达到所分析类群的70%。作为针茅超级条形码的完整质体体序列分析虽然要有效得多，但仍然不能区分所有分析的羽状草分类群。
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.
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DOI：
10.1098/rsbl.2003.0025
发表时间：
2003-08-07
影响因子：
4.7
作者：
Hebert, PDN;Ratnasingham, S;deWaard, JR
通讯作者：
deWaard, JR
影响因子：
10
作者：
Li, Xiwen;Yang, Yang;Chen, Shilin
通讯作者：
Chen, Shilin
影响因子：
5.4
作者：
Parks M;Cronn R;Liston A
通讯作者：
Liston A
影响因子：
1
作者：
Gonzalo, Raul;Aedo, Carlos;Angel Garcia, Miguel
通讯作者：
Angel Garcia, Miguel
影响因子：
4.6
作者：
Krawczyk, Katarzyna;Nobis, Marcin;Sawicki, Jakub
通讯作者：
Sawicki, Jakub