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Mass Spectrometric Proof of Predicted Peptides: Novel Adipokinetic Hormones in Insects.
- Source :
-
Molecules (Basel, Switzerland) [Molecules] 2022 Oct 01; Vol. 27 (19). Date of Electronic Publication: 2022 Oct 01. - Publication Year :
- 2022
-
Abstract
- The importance of insects in our ecosystems is undeniable. The indiscriminate use of broad-spectrum insecticides is a factor in the decline in insect biomass. We identify and sequence a prominent neuropeptide hormone in insects with an overarching goal to elucidate relatedness and create a database of bioactive peptides that could inform possible cross-activity in biological assays for the identification of a biorational lead compound. The major task of an adipokinetic hormone (AKH) in an insect is the regulation of metabolic events, such as carbohydrate and lipid breakdown in storage tissue during intense muscular work. From genomic and/or transcriptomic information one may predict the genes encoding neuropeptides such as the AKHs of insects. Definite elucidation of the primary structure of the mature peptide with putative post-translational modifications needs analytical chemical methods. Here we use high-resolution mass spectrometry coupled with liquid chromatography to identify unequivocally the AKHs of five insect species (one cockroach, two moths, and two flies) of which either genomic/transcriptomic information was available or sequences from related species. We confirm predicted sequences and discover novel AKH sequences, including one with a post-translational hydroxyproline modification. The additional sequences affirm an evolutionary pattern of dipteran AKHs and a conserved pattern in crambid moths.
- Subjects :
- Amino Acid Sequence
Animals
Carbohydrates
Ecosystem
Hydroxyproline metabolism
Insecta metabolism
Lipids
Mass Spectrometry
Oligopeptides
Peptides chemistry
Pyrrolidonecarboxylic Acid analogs & derivatives
Pyrrolidonecarboxylic Acid metabolism
Insect Hormones chemistry
Insecticides analysis
Moths metabolism
Neuropeptides genetics
Neuropeptides metabolism
Subjects
Details
- Language :
- English
- ISSN :
- 1420-3049
- Volume :
- 27
- Issue :
- 19
- Database :
- MEDLINE
- Journal :
- Molecules (Basel, Switzerland)
- Publication Type :
- Academic Journal
- Accession number :
- 36235010
- Full Text :
- https://doi.org/10.3390/molecules27196469