摘要
为了解青枯病研究领域中领先的科研机构、科研人员及其研究内容,并对未来的发展方向进行预测,以"Ralstonia solanacearum"、"Pseudomonas solanacearum"为主题词,对1985—2019年Web of Science核心数据库进行搜索,共检索到2987篇相关文献,并利用CiteSpace软件对所检索的青枯病英文文献进行分析。结果显示:美国、中国、法国和日本发文量较多,并且国家之间多有合作交流;法国国家农业研究院和美国威斯康星大学为该领域顶尖的研究机构,国内领先机构为南京农业大学;青枯病领域发文量较高的作者有Caitilyn Allen、Philippe Prior、Qirong Shen(沈其荣)、Stephane Genin等;通过关键词共现网络和突发性检测分析,明确当前研究热点方向为青枯菌的致病机理、根际微生物生态、植物-病原菌互作机制等。结合文献交叉引用分析推测未来研究方向包括抗病基因与抗病品种以及全球尺度下青枯菌的遗传多样性与致病多样性的挖掘,并通过多组学进一步阐明植物-病原菌互作和调控机制。
To explore the current leading institutions,scientists as well as their research interests and predict the future hot topics of bacterial wilt studies,CiteSpace was used to analyze the 2987 articles collected from Web of Science by searching"Ralstonia solanacearum"or"Pseudomonas solanacearum"as subject for literature published from 1985 to2019.The results showed that USA,CHINA,FRANCE,and JAPAN were the top contributors of literatures in this filed,with close cooperation among them.Caitilyn Allen,Philippe Prior,Qirong Shen,and Stephane Genin were the productive authors with high outputs.Furthermore,the current researches focused on the pathogenic mechanism of R.solanacearum,rhizosphere microbial ecology and plant-pathogen interactions.It can be speculated that future studies will concentrate in resistance genes exploration and resistant cultivar breeding.Besides,the genetic and pathogenic diversity of R.solanacearum,multi-omics analysis of plant-pathogen interactions will also be the research hotspots.
作者
谢鹏昊
张超
文涛
牛国庆
洪文丹
袁军
沈其荣
XIE Penghao;ZHANG Chao;WEN Tao;NIU Guoqing;HONG Wendan;YUAN Jun;SHEN Qirong(College of Resources and Environmental Sciences,Nanjing Agricultural University,Nanjing 210095,China;Jiangsu Provincial Key Laboratory for Organic Solid Waste Utilization,Nanjing Agricultural University,Nanjing 210095,China;Jiangsu Collaborative Innovation Center of Solid Organic Wastes,Nanjing 210095,China)
出处
《中国农业大学学报》
CAS
CSCD
北大核心
2020年第11期62-73,共12页
Journal of China Agricultural University
基金
国家自然科学基金项目(31902107)
中央高校基本科研业务费专项资金(KJQN202017)
江苏省自然科学基金项目(BK20170724)