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Biology subjects

Li, L. Q.

Publications and source records attributed to Li, L. Q..

2 recordsLinked to original sources

Evaluating pesticide mixtures for resistance management in asexual insect pests

Many economically important insect pests reproduce through asexual or partially asexual life cycles, yet how reproductive mode influences insecticide resistance management remains unclear. The choice of resistance management strategy has been suggested to differ for sexual and asexual pests. For instance, current IRAC guidance suggests that pesticide mixtures are less effective in non-mating pests than in sexually reproducing populations. Here, stochastic evolutionary simulations are used to compare resistance evolution under sequences and mixtures across four reproductive modes observed in pests of economic importance: sexual reproduction, obligate parthenogenesis, cyclical parthenogenesis and haplodiploidy. Contrary to current expectations, mixtures are not disadvantaged in asexual populations and, in some cases, lead to delayed resistance evolution compared to sexually reproducing populations. These differences arise as the result of reduced genetic recombination which constrained the assembly and spread of multi-resistant genotypes. Overall, these findings suggest that mixtures remain a viable resistance management strategy for pests with asexual reproduction.

evolutionary biology↗

Constraining pesticide resistance using evolution-informed selection regimes

The rapid evolution of pesticide resistance in sexually reproducing pests threatens global food security, yet the evolutionary principles needed to design durable resistance management strategies remain poorly tested experimentally. Theory predicts that deploying multiple pesticide compounds simultaneously should suppress resistance more effectively than sequential rotations, but empirical support in sexual pest populations has remained inconclusive. Here, we directly test how selection regime shapes resistance evolution using a genetically defined, obligately mating Caenorhabditis elegans system. We evolved large dioecious populations from a near-isogenic ancestor carrying two major-effect resistance alleles under contrasting pesticide deployment regimes. We show that compound mixtures combined with a substantial refuge consistently produced the strongest constraint on resistance evolution, markedly slowing the spread of resistance even when resistance alleles were neither recessive nor rare. Species-agnostic computational simulations reproduced the overall evolutionary dynamics, suggesting broad applicability. Overall, our results provide direct experimental evidence that pesticide resistance evolution can be predictably constrained by manipulating selection regimes.

evolutionary biology↗