BIN overlap confirms transcontinental distribution of pest aphids (Hemiptera: Aphididae)

• Published in: PloS one Vol. 14; no. 12; p. e0220426
• Main Authors: Naseem, Muhammad Tayyib, Ashfaq, Muhammad, Khan, Arif Muhammad, Rasool, Akhtar, Asif, Muhammad, Hebert, Paul D N
• Format: Journal Article
• Language: English
• Published: United States Public Library of Science 10.12.2019; Public Library of Science (PLoS)
• Subjects: Animal Distribution; Animals; Aphididae; Aphids; Aphids - genetics; Bar codes; Bayesian analysis; Bins; Biodiversity; Bioinformatics; Biology; Biology and Life Sciences; Biotechnology; Clustering; Computer and information sciences; Crops, Agricultural - parasitology; Deoxyribonucleic acid; Divergence; DNA; DNA Barcoding, Taxonomic; Flowers & plants; Gene Library; Gene sequencing; Genetic engineering; Genetic research; Genomics; Identification; Insect pests; Insects; Libraries; Library collections; Mitochondrial DNA; Morphology; Nucleotide sequence; People and Places; Pests; Phylogeny; Plant mitochondria; Populations; Research and analysis methods; Sequence Analysis, DNA - methods; Species; Statistical inference; Taxonomy; Canada; North America; Pakistan; United States > US
• ISSN: 1932-6203; 1932-6203
• DOI: 10.1371/journal.pone.0220426

DNA barcoding is highly effective for identifying specimens once a reference sequence library is available for the species assemblage targeted for analysis. Despite the great need for an improved capacity to identify the insect pests of crops, the use of DNA barcoding is constrained by the lack of a well-parameterized reference library. The current study begins to address this limitation by developing a DNA barcode reference library for the pest aphids of Pakistan. It also examines the affinities of these species with conspecific populations from other geographic regions based on both conventional taxonomy and Barcode Index Numbers (BINs). A total of 809 aphids were collected from a range of plant species at sites across Pakistan. Morphological study and DNA barcoding allowed 774 specimens to be identified to one of 42 species while the others were placed to a genus or subfamily. Sequences obtained from these specimens were assigned to 52 BINs whose monophyly were supported by neighbor-joining (NJ) clustering and Bayesian inference. The 42 species were assigned to 41 BINs with 38 showing BIN concordance. These species were represented on BOLD by 7,870 records from 69 countries. Combining these records with those from Pakistan produced 60 BINs with 12 species showing a BIN split and three a BIN merger. Geo-distance correlations showed that intraspecific divergence values for 49% of the species were not affected by the distance between populations. Forty four of the 52 BINs from Pakistan had counterparts in 73 countries across six continents, documenting the broad distributions of pest aphids.