Evidence map›Paper›PMID 37962722›Full record

ArticleJournal, genetic engineering & biotechnology2023

Identification of Zimbabwe's locally grown banana (Musa Spp.) cultivars using morphology and genome-targeted sequencing.

Kumbirai Beaton, Allen Mazadza, Zedias Chikwambi

Abstract read
In one paragraph

Article in Journal, genetic engineering & biotechnology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Kumbirai BeatonDepartment of Biotechnology, Chinhoyi University of Technology, P.Bag 7724, Chinhoyi, Zimbabwe. kumbybeaton@gmail.com.ORCID http://orcid.org/0000-0002-3894-9751
Allen MazadzaDepartment of Biotechnology, Chinhoyi University of Technology, P.Bag 7724, Chinhoyi, Zimbabwe.
Zedias ChikwambiDepartment of Biotechnology, Chinhoyi University of Technology, P.Bag 7724, Chinhoyi, Zimbabwe.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBanana production is increasingly under threat due to harsh weather conditions as a result of climate change and different diseases. As such there is a need for the preservation and the characterization of the banana cultivar population for the purposes of crop improvement. The identification of collected banana germplasm in Zimbabwe was conducted based on the Inter-transcribed spacer region as well as morphology. The study was conducted with the aim of distinguishing one cultivar from another towards genetic conservation as well as banana improvement.

resultsITS 1 and ITS 4 region targeting primers were used to amplify the DNA from twelve cultivars as well as sequence. Blast results identified five Musa groups which are Musa balbisiana (BB), Musa ABB, Musa AB hybrid, Musa acuminata (AAA), and Musa acuminata subsp. Malaccensis (AA). Phylogenetic analysis was done on the sequences under study and a maximum likelihood tree was generated to determine relationships between the sequences. Further identification was done using the inflorescence, bract, and male bud and fruit characteristics of each cultivar complementing the molecular evaluation.

conclusionGenetic and morphological identification of locally grown bananas was therefore successful. An important step towards identifying pure lines suitable for breeding.

Indexed as

BananaGenetic diversityInter transcribed spacerTarget sequencing

Identifiers

PMID37962722
PMCPMC10646137

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