Biodiv Sci ›› 2022, Vol. 30 ›› Issue (7): 22204.  DOI: 10.17520/biods.2022204

• Data Paper • Previous Articles     Next Articles

Mitochondrial genome data of three aphid species

Congcong Lu, Qian Liu, Xiaolei Huang()   

  1. State Key Laboratory of Ecological Pest Control for Fujian and Taiwan Crops, College of Plant Protection, Fujian Agriculture and Forestry University, Fuzhou 350002
  • Received:2022-04-20 Accepted:2022-06-13 Online:2022-07-20 Published:2022-06-24
  • Contact: Xiaolei Huang

Abstract:

The complete mitochondrial genomes (mitogenomes) have been widely used in the studies of molecular evolution, genomics and phylogeny. Aphids are important agricultural and forestry pests. Considering the reported complete mitogenomes of aphids are still limited, it will be of great value to obtain more aphid mitogenome data for related researches. This paper reports the complete mitogenome sequences of three aphid species, Greenidea ficicola, Aphis aurantii and Mindarus keteleerifoliae. The data of their detailed annotation, their gene sequence and gene structure, and the codon usage are also presented. These data can benefit future researches such as insect phylogenetic relationships, population divergence patterns as well as insect pest control.

10.17520/biods.2022204.T0002

Database/Dataset Profile

Title Mitochondrial genome data of three aphid species
Authors Congcong Lu, Qian Liu, Xiaolei Huang
Corresponding author Xiaolei Huang (huangxl@fafu.edu.cn)
Time range 2015-2017
Geographical scope Quanzhou (Fujian), Fuzhou (Fujian)
File size 48 MB
Data format *.fasta, *.xlsx, *.tif
Data link http://www.dataopen.info/home/datafile/index/id/252
http://doi.org/10.24899/do.202204004
https://www.biodiversity-science.net/CN/10.17520/biods.2022204
Database/Dataset composition The dataset consists of 7 data files in total, containing 3 sequence files, with a data volume of 50 KB; one excel data files, with a data volume of 37 KB; and 3 picture files, with a data volume of 47.4 MB.

Key words: aphids, mitochondrial genome, gene annotation, genomic data