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利用DNA条形码技术对从印度喜马拉雅地区采集的亮蛇床属植物进行种间和种内分析。

Interspecific and intraspecific analysis of Selinum spp. collected from Indian Himalayas using DNA barcoding.

作者信息

Srivastava Ravi Prakash, Saxena Gauri, Singh Lav, Singh Arpit, Verma Praveen C, Kaur Gurminder

机构信息

Department of Botany, University of Lucknow, Lucknow, Uttar Pradesh, 226007, India.

Plant Molecular Biology & Genetic Engineering Laboratory, Council of Scientific and Industrial Research, National Botanical Research Institute (CSIR-NBRI), Lucknow, Uttar Pradesh, 226001, India.

出版信息

J Genet Eng Biotechnol. 2022 Apr 22;20(1):63. doi: 10.1186/s43141-022-00345-0.

DOI:10.1186/s43141-022-00345-0
PMID:35451659
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9033919/
Abstract

BACKGROUND

DNA barcoding is a powerful method for phylogenetic mapping and species identification. However, recent research has come to a consistent conclusion about the universality of DNA barcoding. We used matK and rbcL markers to test the universality of twelve accessions from different locations belonging to two Selinum species, Selinum tenuifolium Wall. C. B. Clarke and Selinum vaginatum C. B. Clarke, keeping in mind their ability to identify species and establish phylogenetic relationships within and between the accessions.

RESULTS

The success rates of PCR amplification using matK and rbcL were 75.26% ± 3.65% and 57.24% ± 4.42%, and the rate of DNA sequencing was 63.84% ± 4.32% and 50.82% ± 4.36%, respectively, suggesting that success rates of species identification of the two fragments were higher than 41.00% (matK, 41.50% ± 2.81%; rbcL, 42.88% ± 2.59%), proving that these fragments might be used to identify species. The best evolutionary tree with good supporting values was produced utilizing combinations of matK + rbcL markers when phylogenetic relationships were built with random fragment combinations. The twelve accessions of Selinum collected from different locations and their molecular sequences of matK and rbcL markers were blasted with other genera of Apiaceae family, and it was found that Selinum is most closely related to Angelica species of Apiaceae family.

CONCLUSION

The present study has grouped twelve accessions of Selinum species using molecular markers into phylogenies, which is first-of-its-kind report that established interrelationships within different species of Apiaceae with respect to Selinum.

摘要

背景

DNA条形码技术是一种用于系统发育图谱构建和物种鉴定的强大方法。然而,近期研究已就DNA条形码技术的通用性得出了一致结论。我们使用matK和rbcL标记,对属于两种亮蛇床属植物(细叶亮蛇床Wall. C. B. Clarke和鞘状亮蛇床C. B. Clarke)的来自不同地点的12份材料进行通用性测试,同时牢记其识别物种以及在材料内部和之间建立系统发育关系的能力。

结果

使用matK和rbcL进行PCR扩增的成功率分别为75.26% ± 3.65%和57.24% ± 4.42%,DNA测序率分别为63.84% ± 4.32%和50.82% ± 4.36%,这表明这两个片段的物种识别成功率高于41.00%(matK为41.50% ± 2.81%;rbcL为42.88% ± 2.59%),证明这些片段可用于识别物种。当用随机片段组合构建系统发育关系时,利用matK + rbcL标记组合构建出了具有良好支持值的最佳进化树。对从不同地点收集的12份亮蛇床属材料及其matK和rbcL标记的分子序列与伞形科其他属进行比对,发现亮蛇床属与伞形科当归属物种关系最为密切。

结论

本研究利用分子标记将12份亮蛇床属物种材料分组到系统发育树中,这是首次关于亮蛇床属在伞形科不同物种间建立相互关系的报告。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1562/9033919/20425159c9f3/43141_2022_345_Fig9_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1562/9033919/605a0a3b4785/43141_2022_345_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1562/9033919/dd3ba25d2308/43141_2022_345_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1562/9033919/2e2a62da6045/43141_2022_345_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1562/9033919/2c34278fa1b2/43141_2022_345_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1562/9033919/4a4115367a9f/43141_2022_345_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1562/9033919/d95d4f41c786/43141_2022_345_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1562/9033919/8e53c6d2d410/43141_2022_345_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1562/9033919/5d2bccf90206/43141_2022_345_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1562/9033919/20425159c9f3/43141_2022_345_Fig9_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1562/9033919/605a0a3b4785/43141_2022_345_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1562/9033919/dd3ba25d2308/43141_2022_345_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1562/9033919/2e2a62da6045/43141_2022_345_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1562/9033919/2c34278fa1b2/43141_2022_345_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1562/9033919/4a4115367a9f/43141_2022_345_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1562/9033919/d95d4f41c786/43141_2022_345_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1562/9033919/8e53c6d2d410/43141_2022_345_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1562/9033919/5d2bccf90206/43141_2022_345_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1562/9033919/20425159c9f3/43141_2022_345_Fig9_HTML.jpg

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