2018
DOI: 10.1101/253021
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Natural variation in stomata size contributes to the local adaptation of water-use efficiency in Arabidopsis thaliana

Abstract: A b s t r a c t Stomata control gas exchanges between the plant and the atmosphere. How natural variation in stomata size and density contributes to resolve trade-offs between carbon uptake and water-loss in response to local climatic variation is not yet understood. We developed an automated confocal microscopy approach to characterize natural genetic variation in stomatal patterning in 330 fully-sequenced Arabidopsis thaliana ecotypes collected throughout the European range of the species. We compared this t… Show more

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Cited by 33 publications
(92 citation statements)
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References 84 publications
(65 reference statements)
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“…In the face of uncertain climate and soil moisture changes, the topographical complexity of mountainous landscapes may harbor an invaluable source of variation in drought resistance traits, including increased water use efficiency (e.g. through more and smaller stomata, Dittberner et al 2018), lower specific leaf area (SLA, Bansal et al 2015) and advanced flowering (Wilczek et al 2010). In this regard, south-oriented slopes are assumed to be dominated by drought-resistant phenotypes, especially where strong inclinations facilitate water efflux.…”
Section: Introductionmentioning
confidence: 99%
“…In the face of uncertain climate and soil moisture changes, the topographical complexity of mountainous landscapes may harbor an invaluable source of variation in drought resistance traits, including increased water use efficiency (e.g. through more and smaller stomata, Dittberner et al 2018), lower specific leaf area (SLA, Bansal et al 2015) and advanced flowering (Wilczek et al 2010). In this regard, south-oriented slopes are assumed to be dominated by drought-resistant phenotypes, especially where strong inclinations facilitate water efflux.…”
Section: Introductionmentioning
confidence: 99%
“…Here we show selection among natural genotypes under drought. In nature, the heterogeneity of competition may select for alternate Arabidopsis traits in water limited environments, suggesting a potential mechanism promoting their high genetic diversity in drought responses (Dittberner et al, 2018;Exposito-Alonso et al, 2018). 535…”
Section: Selection Under Competition and Changes In Selection Dependimentioning
confidence: 99%
“…First, it exhibits substantial diversity in drought 60 response within populations. Studies of genetic variation in δ 13 C, a proxy for water use efficiency (WUE), and stomata have found statistically significant but weak relationships with climate of origin (Dittberner et al, 2018) as have studies of survival (Exposito-Alonso et al, 2018). These weak relationships may be surprising given the tendency for local adaptation in Arabidopsis populations (Fournier-Level et al, 2011) and stand in contrast with cold tolerance, 65 which is more closely tied to local winter temperatures (Ågren & Schemske, 2012;Monroe et al, 2016;Gienapp et al, 2017).…”
Section: Introductionmentioning
confidence: 99%
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“…Quantitative genetic variation in myriad drought resistance traits have been observed in natural populations and laboratory model systems. In particular, natural populations of Brassicaceae species (including Arabidopsis thaliana) and Brachypodium harbor variation both constitutive and inducible traits mediating plant-water relations, including water use efficiency (Des Marais et al 2012Marais et al , 2017Edwards et al 2012;Greenham et al 2017), leaf chemistry (Kesari et al 2012;Des Marais et al 2017), leaf anatomy (Skirycz et al 2011;Verelst et al 2013;Dittberner et al 2018), rootshoot biomass partitioning (Des Marais et al 2012Marais et al , 2017, and many others (Verslues and Juenger 2011;Edwards et al 2012;Juenger 2013;Luo et al 2016;Yarkhunova et al 2016;Lenk et al 2019). Among the numerous plant traits that can and have been measured, few have been studied more extensively than specific leaf area (SLA -often reported as it's inverse, leaf mass per area or LMA).…”
Section: Introductionmentioning
confidence: 99%