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Lonare N, Patil G, Waghmare S, Bhor R, Hardikar H, Tembe S. DNA Barcoding of Invasive Terrestrial Plant Species in India. Mol Biotechnol 2024:10.1007/s12033-024-01102-z. [PMID: 38430432 DOI: 10.1007/s12033-024-01102-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2023] [Accepted: 01/31/2024] [Indexed: 03/03/2024]
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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Affiliation(s)
- Nayan Lonare
- Department of Biotechnology, Fergusson College (Autonomous), Shivajinagar, Pune, Maharashtra, 411004, India
| | - Gayatri Patil
- Department of Biotechnology, Fergusson College (Autonomous), Shivajinagar, Pune, Maharashtra, 411004, India
| | - Suprriya Waghmare
- IMT Technologies Pvt. Ltd, Kondhwa Khurd, Pune, Maharashtra, 411048, India
| | - Reshma Bhor
- IMT Technologies Pvt. Ltd, Kondhwa Khurd, Pune, Maharashtra, 411048, India
| | - Hrishikesh Hardikar
- Department of Biotechnology, Fergusson College (Autonomous), Shivajinagar, Pune, Maharashtra, 411004, India
| | - Sanket Tembe
- Department of Biotechnology, Fergusson College (Autonomous), Shivajinagar, Pune, Maharashtra, 411004, India.
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Choudhary A, Shekhawat D, Pathania J, Sita K, Sharma S, Chawla A, Jaiswal V. Exploring DNA barcode for accurate identification of threatened Aconitum L. species from Western Himalaya. Mol Biol Rep 2024; 51:75. [PMID: 38175298 DOI: 10.1007/s11033-023-08927-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2023] [Accepted: 11/27/2023] [Indexed: 01/05/2024]
Abstract
BACKGROUND Aconitum species, belonging to Ranunculaceae, have high medicinal importance but due to their overexploitation come under IUCN (International Union for Conservation of Nature) red list. The precise identification of the Aconitum species is equally important because they are used in herbal formulations. The present study aimed to develop an efficient DNA barcode system for the authentic identification of Aconitum species. METHODS AND RESULTS A set of 92 barcode gene sequences (including 12 developed during the present study and 80 retrieved from NCBI) of 5 Aconitum species (A. heterophyllum, A. vialoceum, A. japonicum, A. napellus, and A. stapfianum) were analyzed using three methods (tree-based, distance-based, and similarity-based) for species discrimination. The PWG-distance method was found most effective for species discrimination. The discrimination rate of PWG- distance ranged from 33.3% (rbcL + trnH-psbA) to 100% (ITS, rbcL + ITS, ITS + trnH-psbA and rbcL + ITS + trnH-psbA). Among DNA barcodes and their combinations, the ITS marker had the highest degree of species discrimination (NJ-40%, PWG-100% and BLAST-40%), followed by trnH-psbA (NJ-20%, PWG-60% and BLAST-20%). ITS also had higher barcoding gap as compared to other individual barcodes and their combinations. Further, we also analyzed six Aconitum species (A. balfourii, A. ferox, A. heterophyllum, A. rotundifolium, A. soongaricum and A. violaceum) existing in Western Himalaya. These species were distinguished clearly through tree-based method using the ITS barcode gene with 100% species resolution. CONCLUSION ITS showed the best species discrimination power and was used to develop species-specific barcodes for Aconitum species. DNA barcodes developed during the present study can be used to identify Aconitum species.
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Affiliation(s)
- Anita Choudhary
- Biotechnology, Division, CSIR-Institute of Himalayan Bioresource Technology, Palampur, Himachal Pradesh, 176061, India
- Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, 201002, India
| | - Deepika Shekhawat
- Biotechnology, Division, CSIR-Institute of Himalayan Bioresource Technology, Palampur, Himachal Pradesh, 176061, India
| | - Jyotsna Pathania
- Biotechnology, Division, CSIR-Institute of Himalayan Bioresource Technology, Palampur, Himachal Pradesh, 176061, India
| | - Kumari Sita
- Environmental Technology Division, CSIR-Institute of Himalayan Bioresource Technology, Palampur, Himachal Pradesh, 176061, India
| | - Shailika Sharma
- Environmental Technology Division, CSIR-Institute of Himalayan Bioresource Technology, Palampur, Himachal Pradesh, 176061, India
| | - Amit Chawla
- Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, 201002, India
- Environmental Technology Division, CSIR-Institute of Himalayan Bioresource Technology, Palampur, Himachal Pradesh, 176061, India
| | - Vandana Jaiswal
- Biotechnology, Division, CSIR-Institute of Himalayan Bioresource Technology, Palampur, Himachal Pradesh, 176061, India.
- Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, 201002, India.
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Alshegaihi RM. The complete chloroplast genome of the halophyte flowering plant Suaeda monoica from Jeddah, Saudi Arabia. Mol Biol Rep 2024; 51:60. [PMID: 38165474 DOI: 10.1007/s11033-023-09069-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2023] [Accepted: 10/11/2023] [Indexed: 01/03/2024]
Abstract
The complete chloroplast genome (plastome) of the annual flowering halophyte herb Suaeda monoica Forssk. ex J. F. Gmel. family (Amaranthaceae) that grows in Jeddah, Saudi Arabia, was identified for the first time in this study. Suaeda monoica is a medicinal plant species whose taxonomic classification remains controversial. Further, studying the species is useful for current conservation and management efforts. In the current study, the full chloroplast genome S. monoica was reassembled using whole-genome next-generation sequencing and compared with the previously published chloroplast genomes of Suaeda species. The chloroplast genome size of Suaeda monoica was 151,789 bp, with a single large copy of 83,404 bp, a small single copy of 18,007 bp and two inverted repeats regions of 25,189 bp. GC content in the whole genome was 36.4%. The cp genome included 87 genes that coded for proteins, 37 genes coding for tRNA, 8 genes coding for rRNA and one non-coding pseudogene. Five chloroplast genome features were compared between S. monoica and S. japonica, S. glauca, S. salsa, S. malacosperma and S. physophora. Among Suaeda genus and equal to most angiosperms chloroplast genomes, the RSCU values were conservative. Two pseudogenes (accD and ycf1), rpl16 intron and ndhF-rpl32 intergenic spacer, were highlighted as suitable DNA barcodes for different Suaeda species. Phylogenetic analyses show Suaeda cluster into three main groups; one in which S. monoica was closer to S. salsa. The obtained result provided valuable information on the characteristics of the S. monoica chloroplast genome and the phylogenetic relationships.
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Affiliation(s)
- Rana M Alshegaihi
- Department of Biological Sciences, College of Science, University of Jeddah, 21493, Jeddah, Saudi Arabia.
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