Cold tolerance and metabolism of red-haired pine bark beetle Hylurgus ligniperda (Coleoptera: Curculionidae) during the overwintering period

Author:

Cheng Ling1ORCID,Pei Jiahe1,Chen Xuesong1,Shi Fengming1,Bao Zhashenjiacan1,Hou Qidi1,Zhi Lingxu1,Zong Shixiang1,Tao Jing1

Affiliation:

1. Beijing Key Laboratory for Forest Pest Control, School of Forestry, Beijing Forestry University , Beijing , China

Abstract

Abstract Hylurgus ligniperda invaded Shandong, China, through imported forest timber, posing a threat to China’s forest health. Exotic insects with broad environmental tolerance, including low temperatures, may have a better chance of surviving the winters and becoming invasive. Understanding the cold-tolerance strategies of H. ligniperda may help to design sustainable pest management approaches. In this study, we aim to investigate the cold-tolerance ability and relevant physiological indicators in overwintering H. ligniperda adults to determine any possible overwintering strategies. Supercooling points (SCPs) for adults H. ligniperda differed significantly across months and reached the lowest level in the mid- and post-overwintering period, the minimum SCPs −6.45 ± 0.18 °C. As the cold exposure temperature decreased, the survival rate of adults gradually decreased, and no adult survived more than 1 day at −15 °C, and the LLT50 for 1 day was −7.1 °C. Since H. ligniperda adults can survive internal ice formation, they are freeze-tolerant insects. Throughout the overwintering period, the SCPs and the water, protein, sorbitol, and glycerol content in adults decreased initially and then increased. We reported significant correlations between total protein, sorbitol, trehalose, and glycerol content in the beetles and SCPs. Glycogen, lipid, protein, trehalose, and sorbitol content in adult beetles may directly affect their cold-tolerance capacity and survival during winter. This study provides a physiological and biochemical basis for further study of metabolism and cold-tolerance strategies in H. ligniperda adults, which may help predict population dynamics and distribution potential of pests.

Funder

National Key Research & Development Program of China

Publisher

Oxford University Press (OUP)

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