摘要
为全面、系统地了解1983—2019年37年间多环芳烃降解基因研究领域的发文趋势、主要的研究国家和机构、研究热点及其变化趋势等,本文以Web of Science核心数据库为数据源,利用文献计量学方法对此进行分析,结果表明:①全球对多环芳烃降解基因研究的重视程度越来越高,而且分子生物学的技术手段在该研究领域中得到了广泛应用,发文主要集中于微生物学、生物技术与应用微生物学、环境科学等3个学科;②美国、中国、日本、德国等国家发文较多,相比其他国家,中国需进一步加强与其他研究机构间的交流合作;③1983—1995年该研究领域侧重于高效降解菌的筛选及其特性研究,1996—2019年则大规模展开了对其降解途径多样性的研究,近年来更侧重于运用多种生物信息技术来研究多环芳烃的代谢机理及构建生物降解调节机制;④目前已报道了nah、phd、nag、phn、nar和nid等6类多环芳烃降解菌的功能基因,为污染场地的生物修复提供了相应支撑.
This review employed bibliometric method to comprehensively and systematically analyze the trends,research hotspots and progress of polycyclic aromatic hydrocarbons(PAHs)-degrading genes based on the publications in the Web of Science Core Database during 1983—2019.Our analysis shows that①research in this field has attracted more attention worldwide,and molecular biology technologies have been widely used in the studies.The top 3 categories of the publications are Microbiology,Biotechnology&Applied Microbiology,and Environmental Sciences;②most of the publications in this field are from United States,China,Japan and Germany.The further cooperation between China and other countries or institutions needs to be strengthened;and③research on screening and characterizing highly-efficient bacteria for PAH degradation is mainly conducted during 1983—1995,and then attention is shifted to the pathways of PAHs degradation from 1996 to 2019.Recently,various bio-informatics technologies have been applied to determine the regulation mechanisms of PAHs metabolisms;and④six functional genes,nah,phd,nag,phn,nar,nid,have been identified and reported.These genes are useful for bioremediation of PAHs contaminated sites.
作者
张维荣
严康
汪海珍
徐建明
ZHANG Weirong;YAN Kang;WANG Haizhen;XU Jianming(Institute of Soil and Water Resources and Environmental Science,College of Environmental and Resource Sciences,Zhejiang University,Hangzhou 310058;Zhejiang Provincial Key Laboratory of Agricultural Resources and Environment,Hangzhou 310058)
出处
《环境科学学报》
CAS
CSCD
北大核心
2020年第3期1138-1148,共11页
Acta Scientiae Circumstantiae
基金
国家自然科学基金(No.41771344)
国家重点研发计划重点专项子课题(No.2016YFD0800207)
