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Population genetics comparison of Lilioceris cheni (Coleoptera: Chrysomelidae) colonies released onto Dioscorea bulbifera in Southeastern U.S.A.

Authors :
Madeira, Paul T.
Diaz, Rodrigo
Dray, F. Allen
Rayamajhi, Min B.
Lake, Ellen
Smith, Melissa
Source :
Biocontrol Science & Technology. May2023, Vol. 33 Issue 5, p429-447. 19p.
Publication Year :
2023

Abstract

Multiple importations of Lilioceris cheni, a defoliating beetle of the invasive air potato plant, were received by the ARS-Invasive Plant Research Laboratory from 2002 to 2012. The last two, in 2011 (China) and 2012 (Nepal), formed the basis of two colonies from which releases were made into six Southeastern U.S. States. Colony populations were examined using the mitochondrial COI sequence. Phylogenetics, evolutionary divergence, a haplotype network, population statistics, and migration models were generated for the two colonies, countries of origin, and the inferred populations (clades). Phylogenetics eliminated the possibility of cryptic speciation and alleviated the need for host-range testing of the 2012 Nepalese samples. Evolutionary divergence showed the Chinese colony was 1.65X as divergent as the Nepalese, but one Nepalese clade was the most distinctly different of all clades. AMOVA showed most (>70%) genetic variation resided within rather than between colonies. In contrast, AMOVAs showed high levels (>61.5%) of genetic variation between underlying clades with proportionally less variation within. The haplotype network showed broad agreement with the phylogeny. Clade C, from China, displayed the largest number of haplotypes and the largest mutation-scaled effective population size in MIGRATE software. The best MIGRATE models indicated that migration and descent followed the order of phylogenetic descent. The results suggest that the genetic diversity being offered to the adventive range by these very divergent colonies (and clades) is large and should support great ecological flexibility. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
09583157
Volume :
33
Issue :
5
Database :
Academic Search Index
Journal :
Biocontrol Science & Technology
Publication Type :
Academic Journal
Accession number :
163661115
Full Text :
https://doi.org/10.1080/09583157.2023.2196016