An MD-2-related lipid-recognition protein is required for insect reproduction and integument development.
Wei WangYa MaRui-Rui YangXu ChengHai-Jian HuangChuan-Xi ZhangYan-Yuan BaoPublished in: Open biology (2021)
The myeloid differentiation factor 2 (MD-2)-related lipid-recognition protein is involved in immune responses through recognizing bacteria lipopolysaccharide in mammals, arthropods and plants. However, the physiological roles of MD-2 in other biological processes are largely unknown. Here, we identified three homologue MD-2 genes ( NlML1 , NlML2 and NlML3 ) by searching the genome and transcriptome databases of the brown planthopper Nilaparvata lugens , a hemipteran insect species. Temporospatial analysis showed that the NlML1 gene was highly expressed in the fat body but much less so in the other tissues, while the NlML2 and NlML3 genes were highly expressed in the testis or digestive tract. RNA interference-mediated depletion of the NlML1 gene significantly downregulated the transcription of numerous integument protein genes. The NlML1 knockdown led to moulting failure and mortality at the nymph-adult transition phase, impaired egg laying and hatching, and reduced 20-hydroxyecdysone (20E) production in the nymphs. 20E could rescue the deficient moulting phenotypes derived from ds NlML1 RNAi. These novel findings indicate that NlML1 is required for nymphal moulting and female reproductive success as it plays an important role in regulating 20E synthesis, lipid and chitin metabolisms in N. lugens , thus contributing to our understanding of developmental and reproductive mechanisms in insects.
Keyphrases
- genome wide
- genome wide identification
- molecular dynamics
- dna methylation
- fatty acid
- immune response
- copy number
- transcription factor
- genome wide analysis
- gene expression
- protein protein
- amino acid
- binding protein
- bioinformatics analysis
- adipose tissue
- inflammatory response
- toll like receptor
- bone marrow
- young adults
- cardiovascular disease
- small molecule
- type diabetes
- machine learning
- single cell
- drug induced