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Haojie Li

Researcher at Crops Research Institute

Publications -  20
Citations -  995

Haojie Li is an academic researcher from Crops Research Institute. The author has contributed to research in topics: Gene & Genome. The author has an hindex of 4, co-authored 15 publications receiving 812 citations.

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The Brassica oleracea genome reveals the asymmetrical evolution of polyploid genomes

Shengyi Liu, +84 more
- 23 May 2014 - 
TL;DR: A draft genome sequence of Brassica oleracea is described, comparing it with that of its sister species B. rapa to reveal numerous chromosome rearrangements and asymmetrical gene loss in duplicated genomic blocks.
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Genome-wide identification, putative functionality and interactions between lncRNAs and miRNAs in Brassica species.

TL;DR: This work identified 1885, 1910 and 1299 lncRNAs and 186, 157 and 161 miRNAs at the whole genome level in the three Brassica species B. napus, B. oleracea and B. rapa, respectively.
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Transcriptome Analysis of Interspecific Hybrid between Brassica napus and B. rapa Reveals Heterosis for Oil Rape Improvement.

TL;DR: The hybrid between Brassica napus and B. rapa displays obvious heterosis in both growth performance and stress tolerances, and the coexistence of multiple gene actions in the hybrid was observed and provided a list of candidate genes and pathways for heterosis.
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Genome-Wide Identification of Flowering-Time Genes in Brassica Species and Reveals a Correlation between Selective Pressure and Expression Patterns of Vernalization-Pathway Genes in Brassica napus.

TL;DR: These findings provide an integrated framework of flowering-time genes in these three Brassica crops and provide a foundation for deciphering the relationship between gene expression patterns and their evolutionary selection pressures in Brassica napus.
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Identification of genomic regions associated with multi-silique trait in Brassica napus

TL;DR: This study identified the genomic regions and candidate genes related to the multi-silique trait in rapeseed using bulked-segregant analysis and whole genome re-sequencing to identify genomic regions associated with this trait based on both SNPs and InDels.