Identification of sex chromosomes and primary sex ratio in the small hive beetle, a worldwide parasite of honey bees

Author:

Huang Qiang12ORCID,Sim Sheina B3ORCID,Geib Scott M3ORCID,Childers Anna4,Liu Junfeng5ORCID,Wei Xiuxiu1ORCID,Han Wensu6,Posada-Florez Francisco4,Xue Allen Z2ORCID,Li Zheng2ORCID,Evans Jay D4ORCID

Affiliation:

1. Honeybee Research Institute, Jiangxi Agricultural University , 330045, Nanchang , China

2. Department of Integrative Biology, The University of Texas at Austin , Austin, TX 78712 , USA

3. Daniel K. Inouye US Pacific Basin Agricultural Research Center Tropical Pest Genetics and Molecular Biology Research , USDA, Agricultural Research Service, Hilo, HI 96720 , USA

4. Beltsville Agricultural Research Center, Bee Research Laboratory , USDA, Agricultural Research Service, Beltsville, MD 20705 , USA

5. Periodicals Agency, Jiangxi Agricultural University , 330045, Nanchang , China

6. Environment and Plant Protection Institute, Chinese Academy of Tropical Agricultural Sciences , Haikou, 571101 , China

Abstract

Abstract Background The small hive beetle (SHB), Aethina tumida, has emerged as a worldwide threat to honey bees in the past two decades. These beetles harvest nest resources, feed on larval bees, and ultimately spoil nest resources with gelatinous slime together with the fungal symbiont Kodamaea ohmeri. Results Here, we present the first chromosome-level genome assembly for the SHB. With a 99.1% representation of conserved (BUSCO) arthropod genes, this resource enables the study of chemosensory, digestive, and detoxification traits critical for SHB success and possible control. We use this annotated assembly to characterize features of SHB sex chromosomes and a female-skewed primary sex ratio. We also found chromosome fusion and a lower recombination rate in sex chromosomes than in autosomes. Conclusions Genome-enabled insights will clarify the traits that allowed this beetle to exploit hive resources successfully and will be critical for determining the causes of observed sex ratio asymmetries.

Funder

U.S. Department of Agriculture

Jiangxi Agricultural University

Hainan Province Science and Technology

Publisher

Oxford University Press (OUP)

Subject

Computer Science Applications,Health Informatics

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