scispace - formally typeset
J

Jianqiang Hu

Researcher at Chinese Academy of Sciences

Publications -  5
Citations -  462

Jianqiang Hu is an academic researcher from Chinese Academy of Sciences. The author has contributed to research in topics: Gene & Genome. The author has an hindex of 4, co-authored 5 publications receiving 394 citations.

Papers
More filters
Journal ArticleDOI

Nannochloropsis Genomes Reveal Evolution of Microalgal Oleaginous Traits

TL;DR: Multiple genome pooling and horizontal genetic exchange, together with selective inheritance of lipid synthesis genes and species-specific gene loss, have led to the enormous genetic apparatus for oleaginousness and the wide genomic divergence among present-day Nannochloropsis.
Journal ArticleDOI

Genomic Foundation of Starch-to-Lipid Switch in Oleaginous Chlorella spp.

TL;DR: The first genetic transformation in industrial oleaginous C. pyrenoidosa is established, and overexpression of an NAD(H) kinase from Arabidopsis (Arabidopsis thaliana) increased cellular lipid content by 110.4%, yet without reducing growth rate, providing a foundation for exploiting the metabolic switch in microalgae for improved photosynthetic production of food and fuels.
Journal ArticleDOI

Genome-wide identification of transcription factors and transcription-factor binding sites in oleaginous microalgae Nannochloropsis

TL;DR: A phylogenomic approach was employed to identify and functionally annotate the transcriptional factors (TFs) and TF binding-sites (TFBSs) in N. oceanica IMET1, and results form the basis of further experiments to validate and engineer the regulatory network of Nannochloropsis spp.
Journal ArticleDOI

Cellulosome stoichiometry in Clostridium cellulolyticum is regulated by selective RNA processing and stabilization

TL;DR: The genome-wide maps of transcriptional start sites (TSs) and post-transcriptional processed sites (PSs) for Clostridium cellulolyticum unveil a genome- wide RNA-encoded strategy controlling in vivo stoichiometry of protein complexes.
Journal ArticleDOI

Rapid comparison and correlation analysis among massive number of microbial community samples based on MDV data model

TL;DR: A data model to represent large-scale comparison of microbial community samples is proposed, namely the “Multi-Dimensional View” data model (the MDV model) that should at least include 3 aspects: samples profile, taxa profile and meta-data profile (V).