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基于宏基因组测序的扶桑绵粉蚧内共生菌多样性研究
引用本文:钟勇,马福欢,蓝翊文,何成伟,白华菊.基于宏基因组测序的扶桑绵粉蚧内共生菌多样性研究[J].生物安全学报,2020,29(4):273-278.
作者姓名:钟勇  马福欢  蓝翊文  何成伟  白华菊
作者单位:凭祥海关, 广西 凭祥 532600;友谊关海关, 广西 凭祥 532600
基金项目:广西自然科学基金项目(2018GXNSFAA294016)
摘    要:目的] 扶桑绵粉蚧是一种重要的入侵害虫,也被列为我国的检疫性有害生物。内共生菌的群落结构及与扶桑绵粉蚧关系的研究,将为研究扶桑绵粉蚧的入侵生物学和防治提供新的思路和参考。方法] 利用宏基因组测序技术对室内饲养扶桑绵粉蚧内共生菌的物种组成、丰度和多样性进行了研究。结果] 共鉴定获得29个门,47个纲,105个目,178个科,245个属,299个种。变形菌门、γ-变形菌纲、肠杆菌目、肠杆菌科、伯克氏菌属、Candidatus分别为各分类阶元的优势种群。共预测了36505个基因,其中77.27%的基因分布在200~499 nt的范围内。基因集KEGG注释表明,扶桑绵粉蚧内共生菌代谢相关基因最多,达384个,占49.48%;环境信息处理基因最少,仅8个,占1.03%;代谢相关基因最多的为氨基酸代谢基因,为64个,占28.19%。基因集COG注释表明,翻译、核糖体结构和生物发生的基因最多,其次为氨基酸转运和代谢基因,分别占27.64%和12.31%。结论] 初步确定了扶桑绵粉蚧内共生菌菌群的群落结构和优势菌群,并初步分析了这些内共生菌的功能基因情况,为进一步研究内共生菌与扶桑绵粉蚧之间的关系提供了基础,以期从内共生菌的角度为该虫的防控提供新的策略。

关 键 词:扶桑绵粉蚧  内共生菌  宏基因组测序  生物信息学  入侵生物
收稿时间:2020/3/16 0:00:00
修稿时间:2020/5/20 0:00:00

Analysis of endosymbiont diversity in the invasive scale insect, Phenacoccus solenopsis
ZHONG Yong,MA Fuhuan,LAN Yiwen,HE Chengwei,BAI Huaju.Analysis of endosymbiont diversity in the invasive scale insect, Phenacoccus solenopsis[J].Journal of Biosafety,2020,29(4):273-278.
Authors:ZHONG Yong  MA Fuhuan  LAN Yiwen  HE Chengwei  BAI Huaju
Institution:Pingxiang Customs, Pingxiang, Guangxi 532600, China;Youyiguan Customs, Pingxiang, Guangxi 532600, China
Abstract:Aim] Phenacoccus solenopsis is an important invasive scale insect, also listed as a quarantine pest in China. The study of the structure of endosymbiont community and their relationship with the host would provide new ideas and references for further study of the invasion biology of P. solenopsis and its control.Method] The species composition, abundance, and diversity of endosymbionts within an indoor-reared P. solenopsis population were investigated using metagenomic sequencing techniques.Result] A total of 29 phyla, 47 classes, 105 orders, 178 families, 245 genera, and 299 species were annotated, of which Proteobacteria, Gammaproteobacteria, Enterobacterales, Enterobacteriaceae, Burkholderia, and Candidatus Tremblaya phenacola, respectively, were dominant within each taxonomic category. The number of predicted unigenes was 36505, of which 77.27% were distributed in the range of 200-499 nt. In the KEGG database, most annotated genes (384, 49.48%) were metabolism-related and environmental information processing genes were the least numerous, with 8 genes (1.03%). Among metabolism related genes, 64 genes (28.19%) were connected to amino acid metabolism. In the COG database, translational, ribosomal structure and biogenesis-related genes were the most abundant, followed by amino acid transport-related and metabolic genes, with 27.64% and 12.31% respectively.Conclusion] The described community structure and dominant populations of endosymbionts in P. solenopsis would provide a basis for further study on the relationship between endosymbionts and P. solenopsis, in order to propose alternative control strategies from the perspective of endosymbionts.
Keywords:Phenacoccus solenopsis  endosymbionts  metagenomic sequencing  bioinformatics  invasive organisms
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