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Source–sink dynamics and proteomic reprogramming under elevated night temperature and their impact on rice yield and grain quality
Author(s) -
Shi Wanju,
Muthurajan Raveendran,
Rahman Hifzur,
Selvam Jagadeesh,
Peng Shaobing,
Zou Yinbin,
Jagadish Krishna S. V.
Publication year - 2013
Publication title -
new phytologist
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.742
H-Index - 244
eISSN - 1469-8137
pISSN - 0028-646X
DOI - 10.1111/nph.12088
Subject(s) - biology , heat shock protein , grain quality , proteome , agronomy , grain yield , proteomics , chromosomal translocation , genetically modified rice , horticulture , botany , genetically modified crops , transgene , biochemistry , gene
Summary High night temperatures ( HNT s) can reduce significantly the global rice ( O ryza sativa ) yield and quality. A systematic analysis of HNT response at the physiological and molecular levels was performed under field conditions. Contrasting rice accessions, N 22 (highly tolerant) and G harib (susceptible), were evaluated at 22°C (control) and 28°C ( HNT ). Nitrogen ( N ) and nonstructural carbohydrate ( NSC ) translocation from different plant tissues into grains at key developmental stages, and their contribution to yield, grain‐filling dynamics and quality aspects, were evaluated. Proteomic profiling of flag leaf and spikelets at 100% flowering and 12 d after flowering was conducted, and their reprogramming patterns were explored. Grain yield reduction in susceptible G harib was traced back to the significant reduction in N and NSC translocation after flowering, resulting in reduced maximum and mean grain‐filling rate, grain weight and grain quality. A combined increase in heat shock proteins ( HSP s), C a signaling proteins and efficient protein modification and repair mechanisms (particularly at the early grain‐filling stage) enhanced N 22 tolerance for HNT . The increased rate of grain filling and efficient proteomic protection, fueled by better assimilate translocation, overcome HNT tolerance in rice. Temporal and spatial proteome programming alters dynamically between key developmental stages and guides future transgenic and molecular analysis targeted towards crop improvement.