Evidence map›Paper›PMID 32972362›Full record

ArticleBMC genomics2020

Molecular identification and evolutionary relationships between the subspecies of Musa by DNA barcodes.

S Dhivya, S Ashutosh, I Gowtham, V Baskar, A Baala Harini, S Mukunthakumar, R Sathishkumar

Abstract read
In one paragraph

Article in BMC genomics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Genetic Diversity and Structure ofPlants (Basel, Switzerland) · 2024
    Article
  8. Review
  9. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

S DhivyaPlant Genetic Engineering Laboratory, Department of Biotechnology, Bharathiar University, Coimbatore, 641046, India.
S AshutoshTechnologico de Monterrey, Centre of Bioengineering, Epigmenio Gonzalez #500, Fracc. San Pablo, Campus Queretaro, Santiago de Querétaro, Queretaro, Mexico.
I GowthamPlant Biofarming Laboratory, DRDO-BU Centre for Life Sciences, Bharathiar University, Coimbatore, 641046, India.
V BaskarPlant Genetic Engineering Laboratory, Department of Biotechnology, Bharathiar University, Coimbatore, 641046, India.
A Baala HariniPlant Genetic Engineering Laboratory, Department of Biotechnology, Bharathiar University, Coimbatore, 641046, India.
S MukunthakumarBiotechnology and Bioinformatics Division, Jawaharlal Nehru Tropical Botanic Garden & Research Institute, Palode, Thiruvananthapuram, Kerala, 695 562, India.
R SathishkumarPlant Genetic Engineering Laboratory, Department of Biotechnology, Bharathiar University, Coimbatore, 641046, India. rsathish@buc.edu.in.

Funding

University Grants Commission PDFWM -2015-17-TAM-34021
6 · The paper itself

Abstract

backgroundThe banana (Musa sp., AAA) genome is constantly increasing due to high-frequency of somaclonal variations. Due to its large diversity, a conventional numerical and morphological based taxonomic identification of banana cultivars is laborious, difficult and often leads to subject of disagreements.

resultsHence, in the present study, we used universal DNA barcode ITS2 region to identify and to find the genetic relationship between the cultivars and varieties of banana. Herein, a total of 16 banana cultivars were PCR amplified using ITS2 primer pair. In addition, 321 sequences which were retrieved from GenBank, USA, were used in this study. The sequences were then aligned using Clustal W and genetic distances were computed using MEGA V5.1. The study showed significant divergence between the intra- and inter-specific genetic distances in ITS2 region. BLAST1 and Distance methods proved that ITS2 DNA barcode region successfully identified and distinguished the cultivar and varieties of banana.

conclusionThus, from the results of the present study, it is clear that ITS2 is not only an efficient DNA barcode to identify the banana species but also a potential candidate for enumerating the phylogenetic relationships between the subspecies and cultivars. This is the first comprehensive study to categorically distinguish the economically important banana subspecies and varieties using DNA barcodes and to understand its evolutionary relationship.

Indexed as

Evolution, MolecularPhylogenyDNA Barcoding, TaxonomicMusaRNA, RibosomalRNA, RibosomalCultivarDNA barcodeGenetic relationshipMusa sp.Nucleotide diversityWild species

Identifiers

PMID32972362
PMCPMC7513480

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.