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Journal of Zhejiang University (Agriculture and Life Sciences)  2014, Vol. 40 Issue (4): 355-369    DOI: 10.3785/j.issn.1008-9209.2014.04.092
Review     
Use of next-generation sequencing in genomic studies of polyploid crops: Cotton as an example
Zhu Qianhao*, Danny Llewellyn, Iain Wilson
(CSIRO Plant Industry, Canberra, ACT 2601, Australia)
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Abstract  Next-generation sequencing (NGS) technologies provide enormous power and new potential to access the complex polyploid genomes and transcriptomes of major crops, including cotton. This article summarises the applications of NGS in cotton genomic studies, including genome sequencing and resequencing, transcriptomic analysis, small RNA sequencing and miRNA identification, and identification of single nucleotide polymorphisms. NGS has rapidly accelerated genomic studies in cotton and will further expand our understanding of the evolution and polyploidisation of cotton at the species level as well as our understanding of the biology of the development of the unique seed trichomes that characterise the commercial textile fibres produced by some members of the Gossypium genus. Realisation of substantial impacts on applied cotton genetics and breeding will largely depend on the formulation of novel applications of NGS and the development of handy bioinformatic tools for dealing with and interpretation of the vast amounts of data generated by this technology.

Published: 20 July 2014
CLC:  Q 3  
  S 562  
Cite this article:

Zhu Qianhao, Danny Llewellyn, Iain Wilson. Use of next-generation sequencing in genomic studies of polyploid crops: Cotton as an example. Journal of Zhejiang University (Agriculture and Life Sciences), 2014, 40(4): 355-369.

URL:

http://www.zjujournals.com/agr/10.3785/j.issn.1008-9209.2014.04.092     OR     http://www.zjujournals.com/agr/Y2014/V40/I4/355


高通量测序技术在多倍体作物基因组学研究中的应用(英文)

高通量测序或第二代测序(next-generation sequencing, NGS)技术已被广泛地应用于动植物基因组学研究并对其产生了深刻影响.该文总结了NGS在棉花基因组测序、转录组分析、微小RNA和单核苷酸多态性鉴定等方面的应用研究进展,并对NGS在棉花基因组学和遗传育种中的应用前景作了展望.NGS在棉花中的应用对其他多倍体作物的类似研究具有参考和指导意义,但其更广泛和有效的应用有赖于简便、高效生物信息学方法的开发和利用.
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