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1.
Gen Comp Endocrinol ; 187: 117-35, 2013 Jun 15.
Article in English | MEDLINE | ID: mdl-23578900

ABSTRACT

The copepod Calanus finmarchicus is the most abundant zooplankton species in the North Atlantic. While the life history of this crustacean is well studied, little is known about its peptidergic signaling systems despite the fact that these pathways are undoubtedly important components of its physiological/behavioral control systems. Here we have generated and used a de novo assembled transcriptome for C. finmarchicus (206,041 sequences in total) to identify peptide precursor proteins and receptors. Using known protein queries, 34 transcripts encoding peptide preprohormones and 18 encoding peptide receptors were identified. Using a combination of online software programs and homology to known arthropod isoforms, 148 mature peptides were predicted from the deduced precursors, including members of the allatostatin-A, allatostatin-B, allatostatin-C, bursicon, crustacean cardioactive peptide (CCAP), crustacean hyperglycemic hormone, diuretic hormone 31 (DH31), diuretic hormone 44 (DH44), FMRFamide-like peptide (myosuppressin, neuropeptide F [NPF] and extended FL/IRFamide subfamilies), leucokinin, neuroparsin, orcokinin, orcomyotropin, periviscerokinin, RYamide and tachykinin-related peptide (TRP) families. The identified receptors included ones for allatostatin-A, allatostatin-C, bursicon, CCAP, DH31, DH44, ecdysis-triggering hormone, NPF, short NPF, FMRFamide, insulin-like peptide, leucokinin, periviscerokinin, pigment dispersing hormone, and TRP. Developmental profiling of the identified transcripts in embryos, early nauplii, late nauplii, early copepodites, late copepodites, and adult females was also undertaken, with all showing the highest expression levels in the naupliar and copepodite stages. Collectively, these data radically expand the catalog of known C. finmarchicus peptidergic signaling proteins and provide a foundation for experiments directed at understanding the physiological roles served by them in this species.


Subject(s)
Copepoda/metabolism , Neuropeptides/metabolism , Neurotransmitter Agents/metabolism , Peptide Hormones/metabolism , Animals , Computational Biology , Copepoda/genetics , Neuropeptides/genetics , Neurotransmitter Agents/genetics , Peptide Hormones/genetics , Transcriptome/genetics
2.
Genetics ; 185(1): 95-103, 2010 May.
Article in English | MEDLINE | ID: mdl-20215470

ABSTRACT

Nonallelic gene conversion has been proposed as a major force in homogenizing the sequences of paralogous genes. In this work, we investigate the extent and characteristics of gene conversion among gene families in nine species of the genus Drosophila. We carried out a genome-wide study of 2855 gene families (including 17,742 genes) and determined that conversion events involved 2628 genes. The proportion of converted genes ranged across species from 1 to 9% when paralogs of all ages were included. Although higher levels of gene conversion were found among young gene duplicates, at most 1-2% of the coding sequences of these duplicates were affected by conversion. Using a second approach relying on gene family size changes and gene-tree/species-tree reconciliation methods, we estimate that only 1-15% of gene trees are misled by gene conversion, depending on the lineage considered. Several features of paralogous genes correlate with gene conversion, such as intra-/interchromosomal location, level of nucleotide divergence, and GC content, although we found no definitive evidence for biased substitution patterns. After considering species-specific differences in the age and distance between paralogs, we found a highly significant difference in the amount of gene conversion among species. In particular, members of the melanogaster group showed the lowest proportion of converted genes. Our data therefore suggest underlying differences in the mechanistic basis of gene conversion among species.


Subject(s)
Alleles , Drosophila/genetics , Gene Conversion/genetics , Analysis of Variance , Animals , Genes, Insect/genetics , Genome/genetics , Likelihood Functions , Phylogeny , Software , Species Specificity
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