OpenLB Open Library of Bioscience

Metagenomic analysis of relative abundance and diversity of bacterial microbiota in Bemisia tabaci infesting cotton crop in Pakistan.

Syed Hamid Jalal Shah, Aamir Humayun Malik, Bing Zhang, Yiming Bao, Javaria Qazi
Author Information
  1. Syed Hamid Jalal Shah: Department of Biotechnology, Quaid-i-Azam University, Islamabad, Pakistan.
  2. Aamir Humayun Malik: Centre for Agriculture and Biosciences (CAB) International, Pakistan.
  3. Bing Zhang: Beijing Institute of Genomics (BIG), Chinese Academy of Sciences, China.
  4. Yiming Bao: Beijing Institute of Genomics (BIG), Chinese Academy of Sciences, China.
  5. Javaria Qazi: Department of Biotechnology, Quaid-i-Azam University, Islamabad, Pakistan. Electronic address: javariaqazi@qau.edu.pk.

Abstract

B. tabaci species complex are among the world's most devastating agricultural pests causing economic losses by direct feeding and more importantly by transmitting plant viruses like cotton leaf curl disease (CLCuD) associated viruses to cultivated cotton in Pakistan. Taxonomic diversity of B. tabaci associated bacterial communities using NGS techniques so far is reported from insects grown on artificial diet under lab conditions. In this study 16S rDNA metagenome sequencing analysis was used to characterize bacterial compositions in wild adult B. tabaci infesting cultivated cotton in eight major cotton growing districts of southern Punjab, Pakistan. We have identified 50 known and 7 unknown genera of bacteria belonging to 10 phyla, 20 classes, 30 orders and 40 families. Beta diversity analysis of our data sets reveal that whiteflies infesting cotton in geographically distinct locations had similar bacterial diversity. These results for the first time provide insights into the microbiome diversity of wild type whiteflies infesting a cultivated crop.

Keywords

MeSH Term

Animals
Bacteria
Genetic Variation
Genome, Bacterial
Genomics
Gossypium
Hemiptera
Metagenome
Pakistan
RNA, Bacterial
RNA, Ribosomal, 16S

Chemicals

RNA, Bacterial
RNA, Ribosomal, 16S