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Genetic structure of coexisting wild and managed agave populations: implications for the evolution of plants under domestication.

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TLDR
Bayesian analysis indicated that genetic clusters best fit with the corresponding habitats where populations grow, and natural mechanisms of gene flow and movement of agave propagules among populations by people explain these patterns.
Abstract
Domestication is a continuous evolutionary process guided by humans. This process leads to divergence in characteristics such as behaviour, morphology or genetics, between wild and managed populations. Agaves have been important resources for Mesoamerican peoples since prehistory. Some species are domesticated and others vary in degree of domestication. Agave inaequidens Koch is used in central Mexico to produce mescal, and a management gra- dient from gathered wild and silvicultural populations, as well as cultivated plantations, has been documented. Significant morphological differences were reported among wild and managed populations, and a high phenotypic variation in cultivated populations composed of plants from different populations. We evaluated levels of genetic diversity and structure associated with management, hypothesizing that high morphological variation would be accompanied by high genetic diversity in populations with high gene flow and low genetic structure among managed and unmanaged populations. Wild, silvicultural and cultivated populations were studied, collecting tissue of 19-30 plants per population. Through 10 nuclear microsatellite loci, we compared population genetic parameters. We analysed partition of variation associated with management categories to estimate gene flow among populations. Agave inaequidens exhibits high levels of genetic diversity (He ¼ 0.707) and moderate genetic structure (FST ¼ 0.112). No differences were found in levels of genetic diversity among wild (He ¼ 0.704), silviculturally managed (He ¼ 0.733) and cultivated (He ¼ 0.698) popula- tions. Bayesian analysis indicated that five genetic clusters best fit the data, with genetic groups corresponding to habi- tats where populations grow rather than to management. Migration rates ranged from zero between two populations to markedly high among others (M ¼ 0.73-35.25). Natural mechanisms of gene flow and the dynamic management of agave propagules among populations favour gene flow and the maintenance of high levels of variation within all popu- lations. The slight differentiation associated with management indicates that domestication is in an incipient stage.

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Journal ArticleDOI

Genetic Data Analysis II. Methods for Discrete Population Genentic Data

TL;DR: Mistletoe lacks an author’s index, limiting the value of the book for anyone looking for specific papers, and will be of value to ethnobotanists, anyone interested in alternative medicines, and students of mistletoes and parasitic plants.
Journal ArticleDOI

Distribution, abundance and traditional management of Agave potatorum in the Tehuacán Valley, Mexico: bases for sustainable use of non-timber forest products

TL;DR: Strategies for protecting particular populations, temporal substitution of agave species for mescal production, implementation of restoration and organization for fear commerce are needed for improving sustainable use of A. potatorum.
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Disentangling Domestication from Food Production Systems in the Neotropics

TL;DR: The early archaeobotanical record includes numerous perennial and annual species, many of which later became domesticated as mentioned in this paper, and some of this evidence identifies dispersal with probable cultivation, suggesting incipient domestication by 10,000 years ago.
Journal ArticleDOI

Morphological variation, management and domestication of ‘maguey alto’ ( Agave inaequidens ) and ‘maguey manso’ ( A. hookeri ) in Michoacán, México

TL;DR: Divergence between wild and cultivated populations of A. inaequidens reflect artificial selection, and the hypothesis that A. hookeri could be the extreme of a domestication gradient of a species complex is supported.
Book

Climate, Clothing, and Agriculture in Prehistory. Linking Evidence, Causes, and Effects

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References
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Journal ArticleDOI

MEGA6: Molecular Evolutionary Genetics Analysis Version 6.0

TL;DR: An advanced version of the Molecular Evolutionary Genetics Analysis software, which currently contains facilities for building sequence alignments, inferring phylogenetic histories, and conducting molecular evolutionary analysis, is released, which enables the inference of timetrees, as it implements the RelTime method for estimating divergence times for all branching points in a phylogeny.

Brief Communication MEGA6: Molecular Evolutionary Genetics Analysis Version 6.0

TL;DR: The Molecular Evolutionary Genetics Analysis (MEGA) software as discussed by the authors provides facilities for building sequence alignments, inferring phylogenetic histories, and conducting molecular evolutionary analysis, including the inference of timetrees.
Journal ArticleDOI

Inference of population structure using multilocus genotype data

TL;DR: Pritch et al. as discussed by the authors proposed a model-based clustering method for using multilocus genotype data to infer population structure and assign individuals to populations, which can be applied to most of the commonly used genetic markers, provided that they are not closely linked.
Journal ArticleDOI

Detecting the number of clusters of individuals using the software STRUCTURE: a simulation study.

TL;DR: It is found that in most cases the estimated ‘log probability of data’ does not provide a correct estimation of the number of clusters, K, and using an ad hoc statistic ΔK based on the rate of change in the log probability between successive K values, structure accurately detects the uppermost hierarchical level of structure for the scenarios the authors tested.
Journal ArticleDOI

genalex 6: genetic analysis in Excel. Population genetic software for teaching and research

TL;DR: Genalex is a user-friendly cross-platform package that runs within Microsoft Excel, enabling population genetic analyses of codominant, haploid and binary data.
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