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Effect of selective logging on the genetic differentiation of Juglans pyriformis Liebm. populations

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  • Celia Cecilia Acosta-Hernández

    (Faculty of Biology, Universidad Veracruzana, Xalapa, Veracruz, Mexico)

  • Lourdes Georgina Iglesias-Andreu

    (Institute of Biotechnology and Applied Ecology (INBIOTECA), Universidad Veracruzana, Xalapa, Veracruz, Mexico)

  • Mauricio Luna-Rodríguez

    (Faculty of Agronomy, Universidad Veracruzana, Xalapa, Veracruz, Mexico)

  • Pablo Octavio-Aguilar

    (Center for Biological Research, Universidad Autónoma del Estado de Hidalgo, Mineral de la Reforma Hidalgo, Mexico)

Abstract

Juglans pyriformis Liebm. (Juglandaceae) is a threatened and endemic tree that grows in the cloud forest of Mexico. Natural populations of this species have been reduced due to, among others, changes in land use, overexploitation, and logging, with probable effects on its genetic diversity and structure. To determine the levels of variation and genetic structure of two populations with different silvicultural regimes, six inter-simple sequence repeat (ISSR) primers were used to amplify DNA from 35 individuals from a high-logging population and 32 from a low-logging population. The results show a higher polymorphism in the low-logging population (81.5%) compared to the high-logging population (77.4%). The genetic differentiation coefficient (PhiPT) values (0.109), genetic distance (0.134) and STRUCTURE analysis (Fst = 0.2271, P = 0.04) show significant genetic differentiation between populations. Rare, private, and monomorphic bands were detected in both populations. These results confirm the trend of reduced genetic variation due to logging.

Suggested Citation

  • Celia Cecilia Acosta-Hernández & Lourdes Georgina Iglesias-Andreu & Mauricio Luna-Rodríguez & Pablo Octavio-Aguilar, 2022. "Effect of selective logging on the genetic differentiation of Juglans pyriformis Liebm. populations," Journal of Forest Science, Czech Academy of Agricultural Sciences, vol. 68(12), pages 509-518.
    • Handle: RePEc:caa:jnljfs:v:68:y:2022:i:12:id:131-2022-jfs
    DOI: 10.17221/131/2022-JFS
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