Literature DB >> 33922526

Past and Recent Effects of Livestock Activity on the Genetic Diversity and Population Structure of Native Guanaco Populations of Arid Patagonia.

Andrés Mesas1, Ricardo Baldi2,3,4, Benito A González4,5, Virginia Burgi2,3,4, Alexandra Chávez1, Warren E Johnson6, Juan C Marín1.   

Abstract

Extensive livestock production and urbanization entail modifications of natural landscapes, including installation of fences, development of agriculture, urbanization of natural areas, and construction of roads and infrastructure that, together, impact native fauna. Here, we evaluate the diversity and genetic structure of endemic guanacos (Lama guanicoe) of the Monte and Patagonian Steppe of central Argentina, which have been reduced and displaced by sheep ranching and other impacts of human activities. Analyses of genetic variation of microsatellite loci and d-loop revealed high levels of genetic variation and latitudinal segregation of mitochondrial haplotypes. There were indications of at least two historical populations in the Monte and the Patagonian Steppe based on shared haplotypes and shared demographic history among localities. Currently, guanacos are structured into three groups that were probably reconnected relatively recently, possibly facilitated by a reduction of sheep and livestock in recent decades and a recovery of the guanaco populations. These results provide evidence of the genetic effects of livestock activity and urbanization on wild herbivore populations, which were possibly exacerbated by an arid environment with limited productive areas. The results highlight the importance of enacting conservation management plans to ensure the persistence of ancestral and ecologically functional populations of guanacos.

Entities:  

Keywords:  camelids; control region; genetic structure; human effects; microsatellites

Year:  2021        PMID: 33922526     DOI: 10.3390/ani11051218

Source DB:  PubMed          Journal:  Animals (Basel)        ISSN: 2076-2615            Impact factor:   2.752


  30 in total

1.  Microsatellite markers for South American camelids.

Authors:  M C Penedo; A R Caetano; K I Cordova
Journal:  Anim Genet       Date:  1998-10       Impact factor: 3.169

2.  Testing for genetic evidence of population expansion and contraction: an empirical analysis of microsatellite DNA variation using a hierarchical Bayesian model.

Authors:  Jay F Storz; Mark A Beaumont
Journal:  Evolution       Date:  2002-01       Impact factor: 3.694

3.  Mutation of human short tandem repeats.

Authors:  J L Weber; C Wong
Journal:  Hum Mol Genet       Date:  1993-08       Impact factor: 6.150

4.  Mutational processes of simple-sequence repeat loci in human populations.

Authors:  A Di Rienzo; A C Peterson; J C Garza; A M Valdes; M Slatkin; N B Freimer
Journal:  Proc Natl Acad Sci U S A       Date:  1994-04-12       Impact factor: 11.205

5.  Bayesian inference of recent migration rates using multilocus genotypes.

Authors:  Gregory A Wilson; Bruce Rannala
Journal:  Genetics       Date:  2003-03       Impact factor: 4.562

6.  Guanacos and sheep: evidence for continuing competition in arid Patagonia.

Authors:  Ricardo Baldi; S Albon; D Elston
Journal:  Oecologia       Date:  2001-08-02       Impact factor: 3.225

7.  The influence of the arid Andean high plateau on the phylogeography and population genetics of guanaco (Lama guanicoe) in South America.

Authors:  Juan C Marin; Benito A González; Elie Poulin; Ciara S Casey; Warren E Johnson
Journal:  Mol Ecol       Date:  2012-12-03       Impact factor: 6.185

8.  Visualizing spatial population structure with estimated effective migration surfaces.

Authors:  Desislava Petkova; John Novembre; Matthew Stephens
Journal:  Nat Genet       Date:  2015-12-07       Impact factor: 38.330

9.  First evaluation of the population structure, genetic diversity and landscape connectivity of the Endangered Arabian tahr.

Authors:  Steven Ross; Jean-Marc Costanzi; Mansoor Al Jahdhami; Haitham Al Rawahi; Muhammad Ghazali; Helen Senn
Journal:  Mamm Biol       Date:  2020-10-13       Impact factor: 1.863

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