Evidence map›Paper›PMID 41839672›Full record

ArticleJournal, genetic engineering & biotechnology2026

Unraveling the genetic diversity and population structure of Mesua ferrea L. Through RAPD and ISSR markers for effective conservation.

Shraboni Mostofa Shila, Asfi Raian Ome, Ashfaque Ahmed, Rupa Rani Roy, Mohammad Ashraful Alam

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Article in Journal, genetic engineering & biotechnology, 2026. 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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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

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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

5 authors.

Shraboni Mostofa ShilaEcology, Environment and Natural Resource Laboratory, Department of Botany, University of Dhaka, Bangladesh. Electronic address: shrabonimostofa@gmail.com.
Asfi Raian OmeEcology, Environment and Natural Resource Laboratory, Department of Botany, University of Dhaka, Bangladesh. Electronic address: asfiraian@gmail.com.
Ashfaque AhmedEcology, Environment and Natural Resource Laboratory, Department of Botany, University of Dhaka, Bangladesh. Electronic address: aashfaque67.bot@du.ac.bd.
Rupa Rani RoyEcology, Environment and Natural Resource Laboratory, Department of Botany, University of Dhaka, Bangladesh. Electronic address: rupa-2019617086@bot.du.ac.bd.
Mohammad Ashraful AlamEcology, Environment and Natural Resource Laboratory, Department of Botany, University of Dhaka, Bangladesh. Electronic address: ashraful-2014416930@bot.du.ac.bd.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study analyzed the genetic diversity and population structure of Mesua ferrea L. in Bangladesh using Random Amplified Polymorphic DNA (RAPD) and Inter Simple Sequence Repeat (ISSR) markers. A total of 63 individuals from six geographically distinct populations were analyzed. Thirty-nine and eighty-five polymorphic bands were generated using RAPD and ISSR primers, respectively, both showing 100 % polymorphism. ISSR markers showed higher polymorphic information content (PIC) (0.336 ± 0.055) and resolving power (Rp) (3.550 ± 1.47) than RAPD (PIC: 0.320 ± 0.055; Rp: 1.582 ± 0.813), indicating greater efficiency in detecting genetic variation. Genetic diversity parameters revealed substantial variability, with the Moulvibazar and BFRI populations showing the highest Nei's diversity and Shannon indices. UPGMA dendrograms and Principal Coordinate Analysis (PCoA) indicated two major genetic clusters with significant overlap among populations, reflecting weak genetic structuring and strong gene flow. STRUCTURE analysis identified four and three genetic clusters (K = 4 and K = 3) for RAPD and ISSR data, respectively, confirming admixture among populations. AMOVA revealed that 65-77 % of total genetic variation occurred within populations, while 6-17 % was among populations, signifying moderate differentiation. The findings demonstrate high within-population diversity and genetic connectivity across regions. ISSR markers exhibited superior resolution, whereas RAPD captured broader inter-population relationships. Overall, the combined use of RAPD and ISSR markers provided complementary insights into the genetic architecture of M. ferrea. Populations from Moulvibazar, BFRI, and SUST, identified as genetically diverse and admixed, are recommended as priority sources for conservation, restoration, and breeding programs to ensure long-term genetic sustainability of the species.

Indexed as

Genetic diversityISSRMesua ferreaPopulation structurePrincipal Coordinate AnalysisRAPD

Identifiers

PMID41839672
PMCPMC12796935

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