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Genetic diversity, genetic structure and phylogeography of the Iberian endemic Gypsophila struthium (Caryophyllaceae) as revealed by AFLP and plastid DNA sequences: connecting habitat fragmentation and diversification

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TLDR
This work aims to demonstrate the efforts towards in-situ applicability of E.R.D.F. (European Regional Development Fund) in Andalucia, which aims to provide real-time information about concrete mechanical properties of Andalusia's concrete infrastructure.
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This article is published in Botanical Journal of the Linnean Society.The article was published on 2013-12-01 and is currently open access. It has received 27 citations till now.

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Journal ArticleDOI

Habitat Fragmentation Differentially Affects Genetic Variation, Phenotypic Plasticity and Survival in Populations of a Gypsum Endemic.

TL;DR: The results indicate that, although the species consists of genetically variable populations able to express functional plasticity, such aspects of adaptive potential may not always reflect populations’ survival, and calls for caution on the use of genetic variation and plasticity to forecast population performance.
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Does higher connectivity lead to higher genetic diversity? Effects of habitat fragmentation on genetic variation and population structure in a gypsophile

TL;DR: The results highlight that fragmentation can have important effects on intra-population genetic processes even for locally abundant, dominant species, and the importance of including habitat connectivity in management and conservation strategies of this type of semiarid systems.
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Areas of endemism as a conservation criterion for Iberian gypsophilous flora: a multi-scale test using the NDM/VNDM program

TL;DR: A large number of areas of endemicity were identified and represented on a map according to their program selection frequency, and the South East of the Iberian Peninsula was the only area selected in all the tests.
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Genetic and morphologic diversity of European fan palm (Chamaerops humilis L.) populations from different environments from Sicily

TL;DR: The correlations between climatic variables and morphological traits suggest that the morphological adaptation to arid environments depends more on summer temperatures than on evapotranspiration or rainfall and that autumn and winter temperatures are determinants of the species establishment at new sites.
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Variability, genetic structure and phylogeography of the dolomitophilous species Convolvulus boissieri (Convolvulaceae) in the Baetic ranges, inferred from AFLPs, plastid DNA and ITS sequences

TL;DR: Sequence analysis and estimation of divergence times indicated that divergence took place during the Pleistocene glaciations, and clear-cut differentiation caused by the existence of two large population groups separated by the Guadiana Menor river basin was found.
References
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Journal ArticleDOI

The neighbor-joining method: a new method for reconstructing phylogenetic trees.

TL;DR: The neighbor-joining method and Sattath and Tversky's method are shown to be generally better than the other methods for reconstructing phylogenetic trees from evolutionary distance data.
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Confidence limits on phylogenies: an approach using the bootstrap.

TL;DR: The recently‐developed statistical method known as the “bootstrap” can be used to place confidence intervals on phylogenies and shows significant evidence for a group if it is defined by three or more characters.
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MEGA5: Molecular Evolutionary Genetics Analysis using Maximum Likelihood, Evolutionary Distance, and Maximum Parsimony Methods

TL;DR: The newest addition in MEGA5 is a collection of maximum likelihood (ML) analyses for inferring evolutionary trees, selecting best-fit substitution models, inferring ancestral states and sequences, and estimating evolutionary rates site-by-site.
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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.
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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.
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