基于CiteSpace的鳞翅目昆虫转录组学研究态势分析

梁展图, 全林发, 梁盛曦, 陈炳旭, 马群, 姚琼

中国农学通报. 2023, 39(8): 142-148

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中国农学通报 ›› 2023, Vol. 39 ›› Issue (8) : 142-148. DOI: 10.11924/j.issn.1000-6850.casb2022-0513
农业信息·科技教育

基于CiteSpace的鳞翅目昆虫转录组学研究态势分析

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Transcriptome Analysis of Lepidoptera Insects Based on CiteSpace

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摘要

基于《中国知网》和PubMed平台,通过文献计量学的方法分析鳞翅目昆虫转录组学文献数量、年代分布、国家、作者信息、出版刊物及研究内容等信息,并采用CiteSpace V可视化软件进行作者聚簇、关键词共现和研究热点分析。《中国知网》数据库中检索出科技文献10篇,研究机构9个,发文作者9位,来源期刊8种。PubMed数据库共检索出科技文献927篇,发文作者690位,来源期刊162种。2015—2020年鳞翅目转录组学的研究热度很高。其中,夜蛾科、蚕蛾科、螟蛾科、粉蝶科,菜蛾科5个科的资料在CNKI和PubMed数据库相对其他科鳞翅目昆虫更为全面和详细。研究内容涉及高通量测序、基因表达、体外微环境、合成通路蛋白、基因家族、激素、遗传调控、转录应答等方面。研究热点有嗅觉受体、家蚕、毒性、氧化脂类、节肢动物触角、性引诱剂、病毒学、免疫学、核酸分子杂交等。客观总结了国内外的鳞翅目昆虫转录组学的研究现状,分析汇总出研究的热点以及薄弱点,可为昆虫学科研人员提供数据参考。

Abstract

Based on the databases of CNKI and PubMed, this paper analyzed the numbers, chronological distribution, countries, authors, journals and research contents of transcriptome studies on Lepidoptera insects by bibliometrics. We used CiteSpace V visualization software to analyze author clustering, keyword co-occurrence and research hotspots. Ten scientific papers, 9 research institutions, 9 authors and 8 journals were searched from the database of CNKI, while 927 papers, 690 authors and 162 journals were searched from the database of PubMed. From 2015 to 2020, the transcriptome study on Lepidoptera insects was very hot. Among the studies, the information of Noctuidae, Bombycidae, Pyralidae, Pieridae and Plutellidae was more comprehensive and detailed than that of other Lepidoptera insects in PubMed and CNKI databases. The research covered high-throughput sequencing, gene expression, in vitro microenvironment, synthetic pathway proteins, gene families, hormones, genetic regulation, transcriptional responses etc. Research hotspots included olfactory receptors, Bombyx mori, toxicity, oxidized lipids, arthropod antennae, sexual attractants, virology, immunology, nucleic acid molecular hybridization etc. This paper objectively summarizes the research status of Lepidoptera transcriptome at home and abroad, and analyzes the research hotspots and unpopular areas, in order to provide data reference for entomologists.

关键词

鳞翅目 / 转录组学 / CiteSpace / CNKI / PubMed / 研究态势

Key words

Lepidoptera / transcriptome / CiteSpace / CNKI / PubMed / research situation

引用本文

导出引用
梁展图 , 全林发 , 梁盛曦 , 陈炳旭 , 马群 , 姚琼. 基于CiteSpace的鳞翅目昆虫转录组学研究态势分析. 中国农学通报. 2023, 39(8): 142-148 https://doi.org/10.11924/j.issn.1000-6850.casb2022-0513
LIANG Zhantu , QUAN Linfa , LIANG Shengxi , CHEN Bingxu , MA Qun , YAO Qiong. Transcriptome Analysis of Lepidoptera Insects Based on CiteSpace. Chinese Agricultural Science Bulletin. 2023, 39(8): 142-148 https://doi.org/10.11924/j.issn.1000-6850.casb2022-0513

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基金

广东省农业科学院协同创新中心项目“农作物病虫害智能识别与监测技术研发与应用”(XTXM202202)
国家自然科学基金项目“光照通过生物钟基因调控荔枝蒂蛀虫生殖行为节律的机制”(32102222)
国家荔枝龙眼产业技术体系(CARS-32)
广东省农业科学院农业优势产业学科团队建设项目“作物抗虫性遗传改良团队”(202117TD)
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