W. T. Tay

Complex multiple introductions drive fall armyworm invasions into Asia and Australia

The paper uses population genomic analysis to trace multiple introductions of fall armyworm into Asia and Australia, showing human-assisted spread via trade and identifying genetic melting pot dynamics.

Resistance bioassays and allele characterisation inform analysis of Spodoptera frugiperda (Lepidoptera: Noctuidae) introduction pathways in Asia and Australia

The paper uses bioassays and allele characterization to analyze the introduction pathways of Spodoptera frugiperda in Asia and Australia, finding multiple introductions and resistance patterns.

A high-throughput amplicon sequencing approach for population-wide species diversity and composition survey

The paper introduces a high-throughput amplicon sequencing method for rapidly surveying pest species diversity and composition, demonstrating its effectiveness in detecting cryptic Bemisia species in agricultural landscapes.

Genomic balancing selection is key to the invasive success of the fall armyworm

This study shows genomic balancing selection restored heterozygosity in the Fall armyworm, enabling its global invasion success despite population bottlenecks.

Adaptive introgression across semipermeable species boundaries between local Helicoverpa zea and invasive Helicoverpa armigera moths

The paper examines hybridization and introgression between invasive Helicoverpa armigera and native H. zea moths in Brazil, finding widespread gene flow but limited species boundary loss except for a specific insecticide-resistance region.

Multiple incursion pathways for Helicoverpa armigera in Brazil show its genetic diversity spreading in a connected world

The paper analyzes mtDNA haplotypes of Helicoverpa armigera in South America to show multiple incursion pathways, indicating independent introductions rather than a single origin.

Take out the rubbish - Removing NUMTs and pseudogenes from the Bemisia tabaci cryptic species mtCOI database

The paper identifies and removes NUMTs, pseudogenes, and low-quality sequences from mtCOI datasets to improve species identification in Bemisia tabaci cryptic species.