浙江大学学报(农业与生命科学版)
浙江大學學報(農業與生命科學版)
절강대학학보(농업여생명과학판)
JOURNAL OF ZHEJIANG UNIVERSITY(AGRICULTURE & LIFE SCIENCES)
2014年
4期
355-369
,共15页
朱乾浩%丹尼·卢埃林%印·威尔逊
硃乾浩%丹尼·盧埃林%印·威爾遜
주건호%단니·로애림%인·위이손
高通量测序技术%多倍体%转录组%非编码RN A%单核苷酸多态性%测序法基因分型
高通量測序技術%多倍體%轉錄組%非編碼RN A%單覈苷痠多態性%測序法基因分型
고통량측서기술%다배체%전록조%비편마RN A%단핵감산다태성%측서법기인분형
next-generation sequencing technology%polyploid%transcriptome%non-coding RNAs%single nucleotide polymorphism%genotyping-by-sequencing
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.
高通量測序或第二代測序( next-generation sequencing , NGS)技術已被廣汎地應用于動植物基因組學研究併對其產生瞭深刻影響.該文總結瞭NGS在棉花基因組測序、轉錄組分析、微小RNA和單覈苷痠多態性鑒定等方麵的應用研究進展,併對NGS在棉花基因組學和遺傳育種中的應用前景作瞭展望.NGS在棉花中的應用對其他多倍體作物的類似研究具有參攷和指導意義,但其更廣汎和有效的應用有賴于簡便、高效生物信息學方法的開髮和利用.
고통량측서혹제이대측서( next-generation sequencing , NGS)기술이피엄범지응용우동식물기인조학연구병대기산생료심각영향.해문총결료NGS재면화기인조측서、전록조분석、미소RNA화단핵감산다태성감정등방면적응용연구진전,병대NGS재면화기인조학화유전육충중적응용전경작료전망.NGS재면화중적응용대기타다배체작물적유사연구구유삼고화지도의의,단기경엄범화유효적응용유뢰우간편、고효생물신식학방법적개발화이용.
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 .