Evidence for divergence of response in Indica, Japonica, and wild rice to high CO2 × temperature interaction.

Autor: Wang DR; Section of Plant Breeding and Genetics, School of Integrated Plant Sciences, Cornell University, Ithaca, NY, 14850, USA., Bunce JA; Crop Systems and Global Change Laboratory, USDA-ARS, 10300 Baltimore Avenue, Beltsville, MD, 20705, USA., Tomecek MB; Crop Systems and Global Change Laboratory, USDA-ARS, 10300 Baltimore Avenue, Beltsville, MD, 20705, USA., Gealy D; Dale Bumpers National Rice Research Center, USDA-ARS, 2890 HWY 130 E., Stuttgart, AR, 72160, USA., McClung A; Dale Bumpers National Rice Research Center, USDA-ARS, 2890 HWY 130 E., Stuttgart, AR, 72160, USA., McCouch SR; Section of Plant Breeding and Genetics, School of Integrated Plant Sciences, Cornell University, Ithaca, NY, 14850, USA., Ziska LH; Crop Systems and Global Change Laboratory, USDA-ARS, 10300 Baltimore Avenue, Beltsville, MD, 20705, USA.
Jazyk: angličtina
Zdroj: Global change biology [Glob Chang Biol] 2016 Jul; Vol. 22 (7), pp. 2620-32. Date of Electronic Publication: 2016 Apr 19.
DOI: 10.1111/gcb.13279
Abstrakt: High CO2 and high temperature have an antagonistic interaction effect on rice yield potential and present a unique challenge to adapting rice to projected future climates. Understanding how the differences in response to these two abiotic variables are partitioned across rice germplasm accessions may be key to identifying potentially useful sources of resilient alleles for adapting rice to climate change. In this study, we evaluated eleven globally diverse rice accessions under controlled conditions at two carbon dioxide concentrations (400 and 600 ppm) and four temperature environments (29 °C day/21 °C night; 29 °C day/21 °C night with additional heat stress at anthesis; 34 °C day/26 °C night; and 34 °C day/26 °C night with additional heat stress at anthesis) for a suite of traits including five yield components, five growth characteristics, one phenological trait, and four photosynthesis-related measurements. Multivariate analyses of mean trait data from these eight treatments divide our rice panel into two primary groups consistent with the genetic classification of INDICA/INDICA-like and JAPONICA populations. Overall, we find that the productivity of plants grown under elevated [CO2 ] was more sensitive (negative response) to high temperature stress compared with that of plants grown under ambient [CO2 ] across this diversity panel. We report differential response to CO2 × temperature interaction for INDICA/INDICA-like and JAPONICA rice accessions and find preliminary evidence for the beneficial introduction of exotic alleles into cultivated rice genomic background. Overall, these results support the idea of using wild or currently unadapted gene pools in rice to enhance breeding efforts to secure future climate change adaptation.
(Published 2016. This article is a US Government work and is in the public domain in the USA.)
Databáze: MEDLINE
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