Literature DB >> 27257005

Population genetic analysis and bioclimatic modeling in Agave striata in the Chihuahuan Desert indicate higher genetic variation and lower differentiation in drier and more variable environments.

Laura Trejo1, Leonardo O Alvarado-Cárdenas2, Enrique Scheinvar3, Luis E Eguiarte4.   

Abstract

PREMISE OF THE STUDY: Is there an association between bioclimatic variables and genetic variation within species? This question can be approached by a detailed analysis of population genetics parameters along environmental gradients in recently originated species (so genetic drift does not further obscure the patterns). The genus Agave, with more than 200 recent species encompassing a diversity of morphologies and distributional patterns, is an adequate system for such analyses. We studied Agave striata, a widely distributed species from the Chihuahuan Desert, with a distinctive iteroparous reproductive ecology and two recognized subspecies with clear morphological differences. We used population genetic analyses along with bioclimatic studies to understand the effect of environment on the genetic variation and differentiation of this species.
METHODS: We analyzed six populations of the subspecies A. striata subsp. striata, with a southern distribution, and six populations of A. striata subsp. falcata, with a northern distribution, using 48 ISSR loci and a total of 541 individuals (averaging 45 individuals per population). We assessed correlations between population genetics parameters (the levels of genetic variation and differentiation) and the bioclimatic variables of each population. We modeled each subspecies distribution and used linear correlations and multifactorial analysis of variance. KEY
RESULTS: Genetic variation (measured as expected heterozygosity) increased at higher latitudes. Higher levels of genetic variation in populations were associated with a higher variation in environmental temperature and lower precipitation. Stronger population differentiation was associated with wetter and more variable precipitation in the southern distribution of the species. The two subspecies have genetic differences, which coincide with their climatic differences and potential distributions.
CONCLUSIONS: Differences in genetic variation among populations and the genetic differentiation between A. striata subsp. striata and A. striata subsp. falcata is correlated with differences in environmental climatic variables along their distribution. We found two distinct gene pools that suggest active differentiation and perhaps incipient speciation. The detected association between genetic variation and environment variables indicates that climatic variables are playing an important role in the differentiation of A. striata.
© 2016 Botanical Society of America.

Entities:  

Keywords:  Agave striata; Agavoideae; Asparagaceae; bioclimatic parameters; distribution modeling; genetic differentiation; genetic variation; speciation

Mesh:

Year:  2016        PMID: 27257005     DOI: 10.3732/ajb.1500446

Source DB:  PubMed          Journal:  Am J Bot        ISSN: 0002-9122            Impact factor:   3.844


  3 in total

1.  Climate change and conservation in a warm North American desert: effect in shrubby plants.

Authors:  Victoria Sosa; Israel Loera; Diego F Angulo; Marilyn Vásquez-Cruz; Etelvina Gándara
Journal:  PeerJ       Date:  2019-03-07       Impact factor: 2.984

2.  Changes in demography and geographic distribution in the weeping pinyon pine (Pinus pinceana) during the Pleistocene.

Authors:  Laura Figueroa-Corona; Alejandra Moreno-Letelier; Diego Ortega-Del Vecchyo; Pablo Peláez; David S Gernandt; Luis E Eguiarte; Jill Wegrzyn; Daniel Piñero
Journal:  Ecol Evol       Date:  2022-10-05       Impact factor: 3.167

3.  Phylogeography and Genetic Diversity in a Southern North American Desert: Agave kerchovei From the Tehuacán-Cuicatlán Valley, Mexico.

Authors:  Erika Aguirre-Planter; J Gilberto Parra-Leyva; Santiago Ramírez-Barahona; Enrique Scheinvar; Rafael Lira-Saade; Luis E Eguiarte
Journal:  Front Plant Sci       Date:  2020-06-23       Impact factor: 5.753

  3 in total

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