Identification of neuropeptides and neuropeptide receptor genes in Phauda flammans (Walker)

Wu, Haipan; Wang, Xiaoyun; Hu, Jin; Su, Ran-Ran; Lu, Wen; Zheng, Xia‐Lin

doi:10.1038/s41598-022-13590-7

Cited by 6 publications

(4 citation statements)

References 57 publications

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“…1). This was almost consistent with other insects in which only 1 snpf gene encodes multiple sNPF isoforms (Jiang et al, 2017;Wu et al, 2022); however, Aedes aegypti has 2 known snpf genes to date (Predel et al, 2010). This differs from the identical sNPF precursor that encodes a single isoform in other insects, such as the coleopteran D. armandi (Liu et al, 2021a), hemipteran Rhopalosiphum padi (Peng et al, 2021), and hymenopteran Apis mellifera (Chang et al, 2018).…”

Section: Discussionsupporting

confidence: 82%

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Effect of short neuropeptide F signaling on larval feeding in Mythimna separata

Yang

Chen

et al. 2023

Insect Science

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Mythimna separata is a notorious phytophagous pest which poses serious threats to cereal crops owing to the gluttony of the larvae. Because short neuropeptide F (sNPF) and its receptor sNPFR are involved in a diversity of physiological functions, especially in functions related to feeding in insects, it is a molecular target for pest control. Herein, an sNPF and 2 sNPFRs were identified and cloned from M. separata. Bioinformatics analysis revealed that the sNPF and its receptors had a highly conserved RLRFamide C‐terminus and 7 transmembrane domains, respectively. The sNPF and its receptor genes were distributed across larval periods and tissues, but 2 receptors had distinct expression patterns. The starvation‐induced assay elucidated that sNPF and sNPFR expression levels were downregulated under food deprivation and recovered with subsequent re‐feeding. RNA interference knockdown of sNPF, sNPFR1, and sNPFR2 by injection of double‐stranded RNA into larvae not only suppressed food consumption and increased body size and weight, but also led to decrease of glycogen and total lipid contents, and increase of trehalose compared with double‐stranded green fluorescent protein injection. Furthermore, molecular docking was performed on the interaction mode between sNPFR protein and its ligand sNPF based on the 3‐dimensional models constructed by AlphaFold; the results indicated that both receptors were presumably activated by the mature peptide sNPF‐2. These results revealed that sNPF signaling played a considerably vital role in the feeding regulation of M. separata and represents a potential control target for this pest.

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Section: Discussionsupporting

confidence: 82%

“…, 2017; Wu et al. , 2022); however, Aedes aegypti has 2 known snpf genes to date (Predel et al. , 2010).…”

Section: Discussionmentioning

confidence: 99%

Effect of short neuropeptide F signaling on larval feeding in Mythimna separata

Yang

Chen

et al. 2023

Insect Science

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“…The retrieved genes were then compared to sequences found in the NCBI nr database with the use of BLASTx to examine their identities. For neuropeptides, amino acid sequences identified in B. mori [ 97 ], Spodoptera frugiperda [ 98 ], Atrijuglans hetaohei [ 99 ], Cydia pomonella [ 100 ], Chilo suppressalis [ 101 ], and Phauda fammans [ 102 ] were used as queries in TBLASTN searches of the E. hebeca genome and transcriptomes. Signal sequences were predicted using the SignalP 3.0 Server [ 103 ] ( http://www.cbs.dtu.dk/services/SignalP ).…”

Section: Methodsmentioning

confidence: 99%

The genome and sex-dependent responses to temperature in the common yellow butterfly, Eurema hecabe

Lee,

Nong,

et al. 2023

BMC Biol

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Background Lepidoptera (butterflies and moths) is one of the most geographically widespread insect orders in the world, and its species play important and diverse ecological and applied roles. Climate change is one of the biggest challenges to biodiversity this century, and lepidopterans are vulnerable to climate change. Temperature-dependent gene expression differences are of relevance under the ongoing climate crisis. However, little is known about how climate affects gene expression in lepidopterans and the ecological consequences of this, particularly with respect to genes with biased expression in one of the sexes. The common yellow butterfly, Eurema hecabe (Family Pieridae), is one of the most geographically widespread lepidopterans that can be found in Asia, Africa, and Australia. Nevertheless, what temperature-dependent effects there may be and whether the effects differ between the sexes remain largely unexplored. Results Here, we generated high-quality genomic resources for E. hecabe along with transcriptomes from eight developmental stages. Male and female butterflies were subjected to varying temperatures to assess sex-specific gene expression responses through mRNA and microRNA transcriptomics. We find that there are more temperature-dependent sex-biased genes in females than males, including genes that are involved in a range of biologically important functions, highlighting potential ecological impacts of increased temperatures. Further, by considering available butterfly data on sex-biased gene expression in a comparative genomic framework, we find that the pattern of sex-biased gene expression identified in E. hecabe is highly species-specific, rather than conserved across butterfly species, suggesting that sex-biased gene expression responses to climate change are complex in butterflies. Conclusions Our study lays the foundation for further understanding of differential responses to environmental stress in a widespread lepidopteran model and demonstrates the potential complexity of sex-specific responses of lepidopterans to climate change.

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“…For example, Han et al credited their inability to identify 19 known neuropeptides to the use of a “strict” FDR threshold of 1% . As a result, it is not an uncommon practice by the peptidomics community to use a larger FDR cutoff, such as 5%, and/or substitute FDR with a quality score combined with manual inspection for identification fidelity. − …”

Section: Experimental Sectionmentioning

confidence: 99%

Definitive Screening Designs to Optimize Library-Free DIA-MS Identification and Quantification of Neuropeptides

et al. 2023

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Method optimization is crucial for successful mass spectrometry (MS) analysis. However, extensive method assessments, altering various parameters individually, are rarely performed due to practical limitations regarding time and sample quantity. To maximize sample space for optimization while maintaining reasonable instrumentation requirements, a definitive screening design (DSD) is leveraged for systematic optimization of data-independent acquisition (DIA) parameters to maximize crustacean neuropeptide identifications. While DSDs require several injections, a library-free methodology enables surrogate sample usage for comprehensive optimization of MS parameters to assess biomolecules from limited samples. We identified several parameters contributing significant first- or second-order effects to method performance, and the DSD model predicted ideal values to implement. These increased reproducibility and detection capabilities enabled the identification of 461 peptides, compared to 375 and 262 peptides identified through data-dependent acquisition (DDA) and a published DIA method for crustacean neuropeptides, respectively. Herein, we demonstrate a DSD optimization workflow, using standard material, not reliant on spectral libraries for the analysis of any low abundance molecules from previous samples of limited availability. This extends the DIA method to low abundance isoforms dysregulated or only detectable in disease samples, thus improving characterization of previously inaccessible biomolecules, such as neuropeptides. Data are available via ProteomeXchange with identifier PXD038520.

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Identification of neuropeptides and neuropeptide receptor genes in Phauda flammans (Walker)

Cited by 6 publications

References 57 publications

Effect of short neuropeptide F signaling on larval feeding in Mythimna separata

Effect of short neuropeptide F signaling on larval feeding in Mythimna separata

The genome and sex-dependent responses to temperature in the common yellow butterfly, Eurema hecabe

Definitive Screening Designs to Optimize Library-Free DIA-MS Identification and Quantification of Neuropeptides

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