4.5 Article

Assessment of variability among morphological and molecular characters in wild populations of mint [Mentha longifolia (L.) L.] germplasm

Journal

SAUDI JOURNAL OF BIOLOGICAL SCIENCES
Volume 29, Issue 5, Pages 3528-3538

Publisher

ELSEVIER
DOI: 10.1016/j.sjbs.2022.02.013

Keywords

Mentha longifolia; Molecular diversity; AMOVA; Polymorphism; Hierarchical cluster analysis; Conservation

Categories

Funding

  1. CSIR-HRDG, New Delhi [09/100(0210)/2018-EMR-I]
  2. Taif University, Taif, Saudi Arabia [TURSP -2020/141]

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This study investigated the agro-morphological traits and genetic differences in 19 populations of Mentha longifolia. The results showed a high degree of morphological and genetic variation among populations, with higher genetic diversity among populations than within populations. This is attributed to low gene flow and greater habitat variability.
Mentha longifolia is an important medicinal and aromatic perennial herb that exhibits wide distribution range from sub-tropical to temperate regions. In the present study, agro-morphological traits and genetic differences in 19 different populations of M. longifolia were studied to evaluate the level and extent of its diversity. Analysis of variance (ANOVA) showed that the different phenotypic characters show considerable differences among various populations and was significant at p < 0.05. Molecular diversity analysis performed by using arbitrary amplified eleven ISSR primers generated a total of 121 amplicons that range within the size of 200-2500 base pairs (bp). Each primer on average generated 11 amplicons with percentage polymorphism being 100. The analysis of molecular variance (AMOVA) showed more (64%) among population genetic diversity and less (36%) within the populations. Greater genetic differentiation (Gst = 0.6852) among these populations occurs due to low gene flow (Nm = 0.2297) and greater habitat variability. Geographic and genetic distances were positively correlated according to Mantel's test. In order to remove any kind of biases, we used R software to perform cluster and redundancy analysis to analyse the extent of relatedness among studied populations. In terms of morphological and molecular aspects, the populations were grouped into four and five clusters respectively based on hierarchical clustering method. The results demonstrated that M. longifolia displays a great degree of morphological and genetic variation and can be utilized in breeding, genetic improvement, and gene bank conservation programmes in future.(c) 2022 The Authors. Published by Elsevier B.V. on behalf of King Saud University. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

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