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Guojun Dong

Harbin Institute of Technology

ORCID: 0000-0002-7556-4404

Publishes on Genetic Mapping and Diversity in Plants and Animals, Plant Molecular Biology Research, Rice Cultivation and Yield Improvement. 168 papers and 13.9k citations.

168Publications
13.9kTotal Citations

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Top publicationsby citations

A map of rice genome variation reveals the origin of cultivated rice
Xuehui Huang, Nori Kurata, Xinghua Wei et al.|Nature|2012
Cited by 1.7kOpen Access

Crop domestications are long-term selection experiments that have greatly advanced human civilization. The domestication of cultivated rice (Oryza sativa L.) ranks as one of the most important developments in history. However, its origins and domestication processes are controversial and have long been debated. Here we generate genome sequences from 446 geographically diverse accessions of the wild rice species Oryza rufipogon, the immediate ancestral progenitor of cultivated rice, and from 1,083 cultivated indica and japonica varieties to construct a comprehensive map of rice genome variation. In the search for signatures of selection, we identify 55 selective sweeps that have occurred during domestication. In-depth analyses of the domestication sweeps and genome-wide patterns reveal that Oryza sativa japonica rice was first domesticated from a specific population of O. rufipogon around the middle area of the Pearl River in southern China, and that Oryza sativa indica rice was subsequently developed from crosses between japonica rice and local wild rice as the initial cultivars spread into South East and South Asia. The domestication-associated traits are analysed through high-resolution genetic mapping. This study provides an important resource for rice breeding and an effective genomics approach for crop domestication research. Whole-genome sequences of wild rice and cultivated rice varieties are used to produce a map of rice genome variation, and show that rice was probably first domesticated in southern China. Cultivated rice (Oryza sativa) is thought to have been domesticated from wild rice (Oryza rufipogon) thousands of years ago. This Chinese/Japanese collaboration reports whole-genome sequences from 446 wild rice isolates from across Asia and Oceana, and from more than 1,000 indica and japonica subspecies of cultivated rice. The resulting map of genome variation will be an important resource for rice breeding and for crop-domestication research.

High-throughput genotyping by whole-genome resequencing
Xuehui Huang, Qi Feng, Qian Qian et al.|Genome Research|2009
Cited by 964Open Access

The next-generation sequencing technology coupled with the growing number of genome sequences opens the opportunity to redesign genotyping strategies for more effective genetic mapping and genome analysis. We have developed a high-throughput method for genotyping recombinant populations utilizing whole-genome resequencing data generated by the Illumina Genome Analyzer. A sliding window approach is designed to collectively examine genome-wide single nucleotide polymorphisms for genotype calling and recombination breakpoint determination. Using this method, we constructed a genetic map for 150 rice recombinant inbred lines with an expected genotype calling accuracy of 99.94% and a resolution of recombination breakpoints within an average of 40 kb. In comparison to the genetic map constructed with 287 PCR-based markers for the rice population, the sequencing-based method was approximately 20x faster in data collection and 35x more precise in recombination breakpoint determination. Using the sequencing-based genetic map, we located a quantitative trait locus of large effect on plant height in a 100-kb region containing the rice "green revolution" gene. Through computer simulation, we demonstrate that the method is robust for different types of mapping populations derived from organisms with variable quality of genome sequences and is feasible for organisms with large genome sizes and low polymorphisms. With continuous advances in sequencing technologies, this genome-based method may replace the conventional marker-based genotyping approach to provide a powerful tool for large-scale gene discovery and for addressing a wide range of biological questions.