Effect of selective logging on the genetic differentiation of Juglans pyriformis Liebm. populations
Celia Cecilia Acosta-Hernández,
Lourdes Georgina Iglesias-Andreu,
Mauricio Luna-Rodríguez and
Pablo Octavio-Aguilar
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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
Journal of Forest Science, 2022, vol. 68, issue 12, 509-518
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.
Keywords: cedar walnut; genetic diversity; molecular marker; population genetics (search for similar items in EconPapers)
Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:caa:jnljfs:v:68:y:2022:i:12:id:131-2022-jfs
DOI: 10.17221/131/2022-JFS
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