From germplasm diversity to genetic design: strategies for photoperiod adaptation in rice

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dc.creatorZhou, Leina
dc.creatorLiu, Yinyin
dc.creatorSandamal, Salinda
dc.creatorZhang, Yuhang
dc.creatorTennakoon, Asanka
dc.creatorQian, Qian
dc.creatorZheng, Xiaoming
dc.date2025
dc.date2026-06-05T09:21:40Z
dc.date.accessioned2026-06-27T04:15:07Z
dc.descriptionRice (Oryza sativa L.) serves as a model for understanding how domestication and ecological adaptation together shape the global distribution of crops. Originating in tropical and subtropical regions characterized by short-day photoperiods and high temperatures, rice has undergone thousands of years of human selection and environmental shaping. These processes have enabled its cultivation across a broad range of latitudes, climates, and photoperiod conditions. A key driver of this ecological plasticity is the genetic reprogramming of heading date regulation. This review focuses on the genetic network underlying photoperiodic control of heading date (HD), with a focus on the evolutionary trajectories of major regulators, including Heading date 1 (Hd1), Grains Height Date 7 (Ghd7), Days to heading 8 (DTH8), Early heading date 1 (Ehd1) and Heading date 3a (Hd3a)/RICE FLOWERING LOCUS T 1 (RFT1). The expansion of rice from tropical short-day to temperate long-day regions has been facilitated by loss-of-function mutations, expression divergence, and complex allelic combinations. Specific allele assemblies have also contributed to the divergence between indica and japonica subspecies, as well as to latitudinal adaptation. Despite the existence of over 780,000 germplasm accessions, a large portion of this germplasm diversity remains untapped. To bridge this gap, a conceptual framework for global adaptation that integrates multi-omics data, artificial intelligence (AI)-assisted modeling, and synthetic biology, is composed to reengineer heading date regulation. This review envisions a forward-looking breeding strategy that unites germplasm utilization, mechanistic understanding, and predictive design to develop rice varieties optimized for complex and variable agricultural environments.
dc.formatapplication/pdf
dc.identifierhttps://hdl.handle.net/10568/183226
dc.identifier.urihttp://hdl.handle.net/123456789/26608
dc.languageen
dc.publisherMaximum Academic Press
dc.rightsOpen Access
dc.sourceZhou, Leina, Yinyin Liu, Salinda Sandamal, Yuhang Zhang, Asanka Tennakoon, Qian Qian, and Xiaoming Zheng. "From germplasm diversity to genetic design: strategies for photoperiod adaptation in rice." Seed Biology 4, no. 1 (2025).
dc.subjectadaptation
dc.subjectgenetic variation
dc.subjectgermplasm
dc.subjectoryza sativa
dc.subjectcropping systems
dc.subjectphotoperiod
dc.subjectflowering time
dc.subjectplant breeding
dc.titleFrom germplasm diversity to genetic design: strategies for photoperiod adaptation in rice
dc.typeJournal Article

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Instituto Internacional de Investigación del Arroz (IRRI)