DNA Barcoding of Invasive Terrestrial Plant Species in India.

IF 2.4 4区 生物学 Q3 BIOCHEMISTRY & MOLECULAR BIOLOGY Molecular Biotechnology Pub Date : 2025-03-01 Epub Date: 2024-03-02 DOI:10.1007/s12033-024-01102-z
Nayan Lonare, Gayatri Patil, Suprriya Waghmare, Reshma Bhor, Hrishikesh Hardikar, Sanket Tembe
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Abstract

Invasive plants are known to cause biodiversity loss and pose a major risk to human health and environment. Identification of invasive plants and distinguishing them from native species has been relied on morphological examination. Stringent requirement of floral characters and decreasing number of expert taxonomists are making conventional morphology-based identification system tedious and resource-intensive. DNA barcoding may help in quick identification of invasive species if distinct sequence divergence pattern at various taxonomic levels is observed. The present work evaluates the utility of four molecular markers; rbcL, matK, their combination (rbcL + matK), and psbA-trnH for identification of 37 invasive plant species from India and also in distinguishing them from 97 native species. A psbA-trnH locus was found to be of restricted utility in this work as it was represented by the members of a single family. A hierarchical increase in K2P mean divergence across different taxonomic levels was found to be the maximum for matK alone followed by rbcL + matK and rbcL alone, respectively. NJ clustering analysis, however, confirmed the suitability of combined locus (rbcL + matK) over individual rbcL and matK as the DNA barcode. RbcL showed the lowest resolution power among the three markers studied. MatK exhibited much better performance compared to rbcL alone in identifying most of the species accurately although it failed to show monophyly of genus Dinebra. Two families; Asteraceae and Poaceae, remained polyphyletic in the trees constructed by all three markers. Combined locus (rbcL + matK) was found to be the most suitable marker as it raised the resolution power of both the markers and could identify more than 90% of genera correctly. Phylogenetic tree constructed by Maximum-Parsimony method using combined locus as a molecular marker exhibited the best resolution, thus, supporting the significance of two-locus combination of rbcL + matK for barcoding invasive plant species from India. Present study contributes to the global barcode data of invasive plant species by adding fifty-one new sequences to it. Effective barcoding of additional number of native as well as invasive plant species from India is possible using this dual locus if it is combined with one or more new molecular plastid markers. Expansion of barcode database with a focus on barcode performance optimisation to improve discrimination ability at species level can be undertaken in future.

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印度入侵陆生植物物种的 DNA 条形码。
众所周知,入侵植物会导致生物多样性丧失,并对人类健康和环境构成重大威胁。入侵植物的识别和与本地物种的区分一直依赖于形态学检查。对花特征的严格要求和分类学专家数量的减少使传统的基于形态学的识别系统变得乏味和资源密集。如果在不同分类水平上观察到不同的序列差异模式,DNA 条形码可能有助于快速识别入侵物种。本研究评估了四种分子标记(rbcL、matK、它们的组合(rbcL + matK)和 psbA-trnH )在鉴定印度 37 种入侵植物物种以及将它们与 97 种本地物种区分开来方面的效用。在这项工作中,发现 psbA-trnH 基因座的作用有限,因为它只代表一个家族的成员。研究发现,在不同分类水平上,K2P 平均差异的分层增长最大的是 matK,其次分别是 rbcL + matK 和 rbcL。然而,NJ 聚类分析证实了组合基因座(rbcL + matK)比单独的 rbcL 和 matK 更适合作为 DNA 条形码。在所研究的三个标记中,RbcL 的分辨率最低。MatK 在准确鉴定大多数物种方面的表现比单独使用 rbcL 要好得多,尽管它未能显示 Dinebra 属的单系性。菊科(Asteraceae)和蒲葵科(Poaceae)这两个科在所有三种标记构建的树中仍然是多系的。综合基因座(rbcL + matK)被认为是最合适的标记,因为它提高了两种标记的分辨率,能正确识别 90% 以上的属。使用组合基因座作为分子标记,通过最大极差法构建的系统发生树显示出最佳分辨率,从而支持了 rbcL + matK 双基因座组合对印度入侵植物物种进行条形编码的重要性。本研究为全球入侵植物物种条形码数据增添了 51 个新序列。如果将这一双基因座与一个或多个新的分子质粒标记结合使用,就有可能对印度更多的本地及入侵植物物种进行有效的条形码编码。今后可以扩大条形码数据库,重点优化条形码性能,以提高在物种水平上的识别能力。
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来源期刊
Molecular Biotechnology
Molecular Biotechnology 医学-生化与分子生物学
CiteScore
4.10
自引率
3.80%
发文量
165
审稿时长
6 months
期刊介绍: Molecular Biotechnology publishes original research papers on the application of molecular biology to both basic and applied research in the field of biotechnology. Particular areas of interest include the following: stability and expression of cloned gene products, cell transformation, gene cloning systems and the production of recombinant proteins, protein purification and analysis, transgenic species, developmental biology, mutation analysis, the applications of DNA fingerprinting, RNA interference, and PCR technology, microarray technology, proteomics, mass spectrometry, bioinformatics, plant molecular biology, microbial genetics, gene probes and the diagnosis of disease, pharmaceutical and health care products, therapeutic agents, vaccines, gene targeting, gene therapy, stem cell technology and tissue engineering, antisense technology, protein engineering and enzyme technology, monoclonal antibodies, glycobiology and glycomics, and agricultural biotechnology.
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