Literature DB >> 20602272

A genome-wide survey of maize lipid-related genes: candidate genes mining, digital gene expression profiling and co-location with QTL for maize kernel oil.

Lin Li1, Hui Li, JiYing Li, ShuTu Xu, XiaoHong Yang, JianSheng Li, JianBing Yan.   

Abstract

Lipids play an important role in plants due to their abundance and their extensive participation in many metabolic processes. Genes involved in lipid metabolism have been extensively studied in Arabidopsis and other plant species. In this study, a total of 1003 maize lipid-related genes were cloned and annotated, including 42 genes with experimental validation, 732 genes with full-length cDNA and protein sequences in public databases and 229 newly cloned genes. Ninety-seven maize lipid-related genes with tissue-preferential expression were discovered by in silico gene expression profiling based on 1984483 maize Expressed Sequence Tags collected from 182 cDNA libraries. Meanwhile, 70 QTL clusters for maize kernel oil were identified, covering 34.5% of the maize genome. Fifty-nine (84%) QTL clusters co-located with at least one lipid-related gene, and the total number of these genes amounted to 147. Interestingly, thirteen genes with kernel-preferential expression profiles fell within QTL clusters for maize kernel oil content. All the maize lipid-related genes identified here may provide good targets for maize kernel oil QTL cloning and thus help us to better understand the molecular mechanism of maize kernel oil accumulation.

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Year:  2010        PMID: 20602272     DOI: 10.1007/s11427-010-4007-3

Source DB:  PubMed          Journal:  Sci China Life Sci        ISSN: 1674-7305            Impact factor:   6.038


  5 in total

1.  Characterization of QTL for oil content in maize kernel.

Authors:  Xiaohong Yang; Hailin Ma; Pan Zhang; Jianbing Yan; Yuqiu Guo; Tongming Song; Jiansheng Li
Journal:  Theor Appl Genet       Date:  2012-06-06       Impact factor: 5.699

Review 2.  Agrigenomics for microalgal biofuel production: an overview of various bioinformatics resources and recent studies to link OMICS to bioenergy and bioeconomy.

Authors:  Namrata Misra; Prasanna Kumar Panda; Bikram Kumar Parida
Journal:  OMICS       Date:  2013-09-17

3.  An 11-bp insertion in Zea mays fatb reduces the palmitic acid content of fatty acids in maize grain.

Authors:  Lin Li; Hui Li; Qing Li; Xiaohong Yang; Debo Zheng; Marilyn Warburton; Yuchao Chai; Pan Zhang; Yuqiu Guo; Jianbing Yan; Jiansheng Li
Journal:  PLoS One       Date:  2011-09-13       Impact factor: 3.240

4.  Phylogenomic study of lipid genes involved in microalgal biofuel production-candidate gene mining and metabolic pathway analyses.

Authors:  Namrata Misra; Prasanna Kumar Panda; Bikram Kumar Parida; Barada Kanta Mishra
Journal:  Evol Bioinform Online       Date:  2012-09-20       Impact factor: 1.625

5.  Genome-Wide Association Analysis for Phosphorus Use Efficiency Traits in Mungbean (Vigna radiata L. Wilczek) Using Genotyping by Sequencing Approach.

Authors:  Venkata Ravi Prakash Reddy; Shouvik Das; Harsh Kumar Dikshit; Gyan Prakash Mishra; Muraleedhar Aski; Surendra Kumar Meena; Akanksha Singh; Renu Pandey; Madan Pal Singh; Kuldeep Tripathi; Padmavati Ganpat Gore; Twinkle Kumari Bhagat; Shiv Kumar; Ramakrishnan Nair; Tilak Raj Sharma
Journal:  Front Plant Sci       Date:  2020-10-29       Impact factor: 5.753

  5 in total

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