[1]丁倩,吴蕾,张保龙,等.中国基因组学与农业的交叉融合进展与思考[J].江苏农业科学,2023,51(18):28-33.
Ding Qian,et al.Progress and consideration of cross-integration of Chinas genomics and agriculture[J].Jiangsu Agricultural Sciences,2023,51(18):28-33.
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中国基因组学与农业的交叉融合进展与思考(PDF)
Ding Qian,et al.Progress and consideration of cross-integration of Chinas genomics and agriculture[J].Jiangsu Agricultural Sciences,2023,51(18):28-33.
《江苏农业科学》[ISSN:1002-1302/CN:32-1214/S]
- 卷:
- 第51卷
- 期数:
- 2023年第18期
- 页码:
- 28-33
- 栏目:
- 专论与综述
- 出版日期:
- 2023-09-20
文章信息/Info
- Title:
- Progress and consideration of cross-integration of Chinas genomics and agriculture
- Keywords:
- -
- 分类号:
- Q78；S188
- DOI:
- -
- 文献标志码:
- A
- 摘要:
- 基因组学与农业的交叉融合越来越深入，为以生物种业为龙头的农业发展带来新的机遇。本文试图总结归纳我国基因组学与农业的交叉融合进展，并提出思考展望，以期为科研人员和科研管理者把握研究方向和成果借鉴、为决策者制定我国农业生物技术研究和产业发展战略规划提供全面的分析依据。本文以Web of Science数据库核心合集收录的SCI和SSCI论文数据合集和incoPat数据库收录的专利数据为统计数据源，经专家咨询构建关键叙词表和交叉数据集，并用文献计量分析工具对数据进行分析处理。基因组学在农业领域的研究论文和专利均呈上升趋势，充分反映融合度增强；我国农业基因组学论文发文量、专利申请量均排世界第1，表明我国农业基因组学发展迅猛，但反映影响力的被引频次、高被引论文数量排名仅第2，特别是篇均被引频次仅排第9；专利申请基本在国内，国外布局少，且申请者多为科研单位和高校，企业超前介入的少。未来我国仍需加强农业基因组学基础研究和技术研发，努力提升国际影响力，注重加强与其他组学、新技术的融合；统筹优化科技计划体系，实现创新链条上中下游有效衔接，注重企业超前融入；强化基础支撑，打造高质量的平台和优异的环境，激发农业基因组学原创活力。
- Abstract:
- -
参考文献/References:
［1］贾继增，高丽锋，赵光耀，等. 作物基因组学与作物科学革命［J］. 中国农业科学，2015，48(17)：3316-3347.
［2］陈云伟. 科技评价计量方法述评［J］. 农业图书情报学报，2020，32(8)：4-11.
［3］中国科学院. 2013高技术发展报告［M］. 北京：科学出版社，2013：53-68.
［4］唐丁，吕慧颖，王珏，等. 作物基因组学研究进展［J］. 植物遗传资源学报，2018，19(3)：383-389.
［5］Wang W S，Mauleon R，Hu Z Q，et al. Genomic variation in 3 010 diverse accessions of Asian cultivated rice［J］. Nature，2018，557(7703)：43-49.
［6］Du H L，Yu Y，Ma Y F，et al. Sequencing and de novo assembly of a near complete indica rice genome［J］. Nature Communications，2017，8：15324.
［7］Qiu J，Zhou Y J，Mao L F，et al. Genomic variation associated with local adaptation of weedy rice during de-domestication［J］. Nature Communications，2017，8：15323.
［8］Li L F，Li Y L，Jia Y L，et al. Signatures of adaptation in the weedy rice genome［J］. Nature Genetics，2017，49(5)：811-814.
［9］Zhao G Y，Zou C，Li K，et al. The Aegilops tauschii genome reveals multiple impacts of transposons［J］. Nature Plants，2017，3(12)：946-955.
［10］Yang N，Xu X W，Wang R R，et al. Contributions of Zea mays subspecies mexicana haplotypes to modern maize［J］. Nature Communications，2017，8：1874.
［11］Fang C，Ma Y M，Wu S W，et al. Genome-wide association studies dissect the genetic networks underlying agronomical traits in soybean［J］. Genome Biology，2017，18(1)：161.
［12］Song Q X，Zhang T Z，Stelly D M，et al. Epigenomic and functional analyses reveal roles of epialleles in the loss of photoperiod sensitivity during domestication of allotetraploid cottons［J］. Genome Biology，2017，18(1)：1-14.
［13］Fang L，Wang Q，Hu Y，et al. Genomic analyses in cotton identify signatures of selection and loci associated with fiber quality and yield traits［J］. Nature Genetics，2017，49(7)：1089-1098.
［14］Zhou Y，Ma Y S，Shang Y，et al. Convergence and divergence of cucurbitacin biosynthesis and regulation in cucumber，melon and watermelon［C］//The 13th International Meeting on Biosynthesis，Function and Synthetic Biology of Isoprenoids(TERPNET 2017). 2017：85.
［15］Qiu Q，Zhang G J，Ma T，et al. The yak genome and adaptation to life at high altitude［J］. Nature Genetics，2012，44(8)：946-949.
［16］Fang X D，Mou Y L，Huang Z Y，et al. The sequence and analysis of a Chinese pig genome［J］. GigaScience，2012，1：16.
［17］Dong Y，Xie M，Jiang Y，et al. Sequencing and automated whole-genome optical mapping of the genome of a domestic goat (Capra hircus)［J］. Nature Biotechnology，2013，31(2)：135-141.
［18］Jiang Y，Xie M，Chen W B，et al. The sheep genome illuminates biology of the rumen and lipid metabolism［J］. Science，2014，344(6188)：1168-1173.
［19］Huang Y H，Li Y R，Burt D W，et al. The duck genome and transcriptome provide insight into an avian influenza virus reservoir species［J］. Nature Genetics，2013，45(7)：776-783.
［20］Lu L Z，Chen Y，Wang Z，et al. The goose genome sequence leads to insights into the evolution of waterfowl and susceptibility to fatty liver［J］. Genome Biology，2015，16(1)：89.
［21］Zheng Y，You S S，Ji C D，et al. Development of an amino acid-functionalized fluorescent nanocarrier to deliver a toxin to kill insect pests［J］. Advanced Materials，2016，28(7)：1375-1380.
［22］Burand J P，Hunter W B.RNAi：future in insect management［J］. Journal of Invertebrate Pathology，2013，112：68-74.
［23］阴衍哲. 《保障种子安全种下千年基业》创新机制：筑牢农业“芯片”安全底线［EB/OL］. (2021-02-01)［2022-11-01］. https：//m.thepaper.cn/baijiahao_11031429.
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备注/Memo
- 备注/Memo:
-
收稿日期：2022-11-18
基金项目：国家社会科学基金青年项目(编号：18CTQ028)。
作者简介：丁倩(1987—)，女，山东龙口人，博士研究生，助理研究员，主要从事专利文献计量研究。E-mail：dingqian@caas.cn。
通信作者：张学福，博士，研究员，博士生导师，主要从事信息可视化、知识组织与检索、农业科技战略情报等研究。E-mail：zhangxuefu@caas.cn。
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