4.6 Article

Genotypic variation in traits linked to climate and aboveground productivity in a widespread C4 grass: evidence for a functional trait syndrome

期刊

NEW PHYTOLOGIST
卷 199, 期 4, 页码 966-980

出版社

WILEY
DOI: 10.1111/nph.12341

关键词

C-4; climate change; evolution; genecology; Panicum virgatum (switchgrass); physiology; polyploidy

资金

  1. National Science Foundation (NSF) [IOS-0922457]
  2. USDA NIFA [2011-67012-30696, 2010-65615-20632]
  3. Division Of Integrative Organismal Systems
  4. Direct For Biological Sciences [922457] Funding Source: National Science Foundation
  5. NIFA [2010-65615-20632, 687448, 2011-67012-30696, 581003] Funding Source: Federal RePORTER

向作者/读者索取更多资源

Examining intraspecific variation in growth and function in relation to climate may provide insight into physiological evolution and adaptation, and is important for predicting species responses to climate change. Under common garden conditions, we grew nine genotypes of the C-4 species Panicum virgatum originating from different temperature and precipitation environments. We hypothesized that genotype productivity, morphology and physiological traits would be correlated with climate of origin, and a suite of adaptive traits would show high broad-sense heritability (H-2). Genotype productivity and flowering time increased and decreased, respectively, with home-climate temperature, and home-climate temperature was correlated with genotypic differences in a syndrome of morphological and physiological traits. Genotype leaf and tiller size, leaf lamina thickness, leaf mass per area (LMA) and C:N ratios increased with home-climate temperature, whereas leaf nitrogen per unit mass (N-m) and chlorophyll (Chl) decreased with home-climate temperature. Trait variation was largely explained by genotypic differences (H-2 = 0.33-0.85). Our results provide new insight into the role of climate in driving functional trait coordination, local adaptation and genetic divergence within species. These results emphasize the importance of considering intraspecific variation in future climate change scenarios.

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