Advances in Tomato Genome Research

doi:10.6048/j.issn.1001-4330.2019.02.001

Xinjiang Agricultural Sciences ›› 2019, Vol. 56 ›› Issue (2): 197-206.DOI: 10.6048/j.issn.1001-4330.2019.02.001

Advances in Tomato Genome Research

TANG Ya-ping¹, LI Ning¹, WANG Juan¹, WANG Bai-ke¹, YANG Sheng-bao¹, GUO Bin², YANG Tao¹, GUO Chun-miao¹, MA Kai¹, LIU Jun³, WANG Huan⁴, YU Qing-hui¹

1.Institute of Horticulture Crops, Xinjiang Academy of Agricultural Sciences, Urumqi 830091,China;
2.College of Computer and Information Engineering, Xinjiang Agricultural University, Urumqi 830091, China;
3.Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing 100081, China;
4.Biotechnology Research Institute, Chinese Academy of Agricultural Sciences, Beijing 100081, China

Received:2018-12-06 Online:2019-02-20 Published:2019-05-22
Correspondence author: WANG Huan (1983-), female, native place: Beijing, Researcher, Ph. D., research field: Bioinformatics, (E-mail) wanghuan@caas.cn
YU Qing-hui (1970-), male, native place: Dapu, Guangdong,, Researcher, Ph. D., research field: Vegetable genetic breeding, (E-mail) yuqinghui98@sina.com
Supported by:
Industrial Technology System in Ministry of Agriculture(CARS-23-G-25), Pre-research of Key Project in Xinjiang Academy of Agricultural Sciences(xjzdy-003), Tianshan Program for Innovation Team in Xinjang(2018D14005), National Key R&D Program of China (2017YFD0101906)

番茄基因组研究进展

唐亚萍¹, 李宁¹, 王娟¹, 王柏柯¹, 杨生保¹, 郭斌², 杨涛¹, 郭春苗¹, 马凯¹, 刘君³, 王欢⁴, 余庆辉¹

1.新疆农业科学院园艺作物研究所,乌鲁木齐 830091;
2.新疆农业大学计算机与信息工程学院,乌鲁木齐830091;
3.中国农业科学院作物科学研究所,北京100081;
4.中国农业科学院生物技术研究所,北京100081

通讯作者: 王欢(1983-),女,北京人,研究员,博士,研究方向为生物信息学,(E-mail)wanghuan@caas.cn
余庆辉(1970-) ,男,广东大浦人,研究员,博士,研究方向为蔬菜遗传育种,(E-mail) yuqinghui98@sina.com
作者简介:唐亚萍(1986-),女,助理研究员,硕士,研究方向为蔬菜遗传育种,(E-mail) tangyaping624@sina.com
基金资助:
农业部产业技术体系(CARS-23-G-25);新疆农科院重点项目前期预研专项(xjzdy-003);自治区创新人才建设专项-天山创新团队(2018D14005);国家重点研发专项(2017YFD0101906)

Abstract

Abstract: 【Objective】 As an important vegetable crop, tomato is a model plantform genetic research. The development of sequencing technology will lay a solid foundation for the excavation of important functional genes in tomato.【Method】 High quality of tomato genome information by analyzing and comparing the relative websites、researches and technologies will provide a reliable research strategy for breeders. 【Result】The development of sequencing technology has greatly promoted tomato genome research. It took eight years for sequencing and assembling the genome of cultivated tomato S. lycopersicum Heinz 1706 by first and second generation of sequencing technology. However, three wild tomato species was sequenced by second generation of sequencing technology only within three years. Comparing with the second generation of sequencing technology, the third generation of sequencing technology not only shorten the sequencing time, but also improved the genome quality by providing wild tomato S. pennellii genome sequence with higher integrity of 96.46%.【Conclusion】From the comparison of genome sequencing technology, we gained the conclusion that the third generation of sequencing technology has greatly improved the sequencing speed, the reading length and the accuracy of the genome sequencing. At the same time, it makes the genome assembly more accurate. The decoding of tomato genome information will open a new way for tomato researchers gained new varieties of tomato.

Key words: tomato; genome; sequencing technology; functional genes

摘要： 【目的】综述国内外相关高质量番茄基因组研究进展,比较与分析第一、二、三代测序技术的研究成果,为番茄重要性状功能基因的挖掘及新品种选育提供参考。【方法】收集查阅国内外相关官网、文献资料和现有研究前沿技术,整理汇总并进行对比,分析番茄基因组测序技术研究进展。【结果】栽培番茄S. lycopersicum Heinz 1706基因组利用一代和二代测序技术8年完成测序和组装。3个野生番茄基因组采用二代测序技术3年完成,三代测序技术缩短了测序时间,并且在二代测序技术的基础上提高了基因组的质量,提供了完整性高达96.46%的野生番茄品种潘那利的参考基因组。【结论】测序技术推动了番茄基因组研究,三代测序技术与一、二代技术相比,在测序速度、基因序列读长和准确性方面显著提高,也使基因组组装更加精确。

关键词: 番茄, 基因组, 测序技术, 功能基因

CLC Number:

S631.1

TANG Ya-ping, LI Ning, WANG Juan, WANG Bai-ke, YANG Sheng-bao, GUO Bin, YANG Tao, GUO Chun-miao, MA Kai, LIU Jun, WANG Huan, YU Qing-hui. Advances in Tomato Genome Research[J]. Xinjiang Agricultural Sciences, 2019, 56(2): 197-206.

唐亚萍, 李宁, 王娟, 王柏柯, 杨生保, 郭斌, 杨涛, 郭春苗, 马凯, 刘君, 王欢, 余庆辉. 番茄基因组研究进展[J]. 新疆农业科学, 2019, 56(2): 197-206.

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Advances in Tomato Genome Research

番茄基因组研究进展

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