English   español  
Please use this identifier to cite or link to this item: http://hdl.handle.net/10261/90439
Share/Impact:
Statistics
logo share SHARE logo core CORE   Add this article to your Mendeley library MendeleyBASE

Visualizar otros formatos: MARC | Dublin Core | RDF | ORE | MODS | METS | DIDL
Exportar a otros formatos:

Title

Deciphering the adjustment between environment and life history in anuals: lessons from a geographically- explicit approach in arabidopsis thaliana

AuthorsManzano-Piedras, Esperanza; Marcel, Arnald; Alonso-Blanco, Carlos; Picó, F. Xavier
KeywordsArabidopsis thaliana
Issue Date5-Feb-2014
PublisherPublic Library of Science
CitationPLoS ONE 9(2): e87836 (2014)
AbstractThe role that different life-history traits may have in the process of adaptation caused by divergent selection can be assessed by using extensive collections of geographically-explicit populations. This is because adaptive phenotypic variation shifts gradually across space as a result of the geographic patterns of variation in environmental selective pressures. Hence, large-scale experiments are needed to identify relevant adaptive life-history traits as well as their relationships with putative selective agents. We conducted a field experiment with 279 geo-referenced accessions of the annual plant Arabidopsis thaliana collected across a native region of its distribution range, the Iberian Peninsula. We quantified variation in life-history traits throughout the entire life cycle. We built a geographic information system to generate an environmental data set encompassing climate, vegetation and soil data. We analysed the spatial autocorrelation patterns of environmental variables and life-history traits, as well as the relationship between environmental and phenotypic data. Almost all environmental variables were significantly spatially autocorrelated. By contrast, only two life-history traits, seed weight and flowering time, exhibited significant spatial autocorrelation. Flowering time, and to a lower extent seed weight, were the life-history traits with the highest significant correlation coefficients with environmental factors, in particular with annual mean temperature. In general, individual fitness was higher for accessions with more vigorous seed germination, higher recruitment and later flowering times. Variation in flowering time mediated by temperature appears to be the main lifehistory trait by which A. thaliana adjusts its life history to the varying Iberian environmental conditions. The use of extensive geographically-explicit data sets obtained from field experiments represents a powerful approach to unravel adaptive patterns of variation. In a context of current global warming, geographically-explicit approaches, evaluating the match between organisms and the environments where they live, may contribute to better assess and predict the consequences of global warming.
DescriptionThis is an open-access article distributed under the terms of the Creative Commons Attribution License.
Publisher version (URL)http://dx.doi.org/10.1371/journal.pone.0087836
URIhttp://hdl.handle.net/10261/90439
DOI10.1371/journal.pone.0087836
ISSN1932-6203
Appears in Collections:(CNB) Artículos
(EBD) Artículos
Files in This Item:
File Description SizeFormat 
Deciphering the Adjustment....pdf4,38 MBAdobe PDFThumbnail
View/Open
Show full item record
Review this work
 

Related articles:


WARNING: Items in Digital.CSIC are protected by copyright, with all rights reserved, unless otherwise indicated.