Project description:Nerita Versicolor carboxypeptidase inhibitor (NvCI) is the strongest inhibitor reported so far for the M14A subfamily of carboxypeptidases. It comprises 53 residues and a protein fold composed of a two-stranded antiparallel ? sheet connected by three loops and stabilized by three disulfide bridges. Here we report the oxidative folding and reductive unfolding pathways of NvCI. Much debate has gone on whether protein conformational folding guides disulfide bond formation or instead they are disulfide bonds that favour the arrangement of local or global structural elements. We show here that for NvCI both possibilities apply. Under physiological conditions, this protein folds trough a funnelled pathway involving a network of kinetically connected native-like intermediates, all sharing the disulfide bond connecting the two ?-strands. In contrast, under denaturing conditions, the folding of NvCI is under thermodynamic control and follows a "trial and error" mechanism, in which an initial quasi-stochastic population of intermediates rearrange their disulfide bonds to attain the stable native topology. Despite their striking mechanistic differences, the efficiency of both folding routes is similar. The present study illustrates thus a surprising plasticity in the folding of this extremely stable small disulfide-rich inhibitor and provides the basis for its redesign for biomedical applications.
| S-EPMC5511257 | biostudies-literature
Project description:Transcriptomic response to heat stress in Nerita yoldii
Project description:NvCI is a novel exogenous proteinaceous inhibitor of metallocarboxypeptidases from the marine snail Nerita versicolor. The complex between human carboxypeptidase A4 and NvCI has been crystallized and determined at 1.7 Å resolution. The NvCI structure defines a distinctive protein fold basically composed of a two-stranded antiparallel ?-sheet connected by three loops and the inhibitory C-terminal tail and stabilized by three disulfide bridges. NvCI is a tight-binding inhibitor that interacts with the active site of the enzyme in a substrate-like manner. NvCI displays an extended and novel interface with human carboxypeptidase A4, responsible for inhibitory constants in the picomolar range for some members of the M14A subfamily of carboxypeptidases. This makes NvCI the strongest inhibitor reported so far for this family. The structural homology displayed by the C-terminal tails of different carboxypeptidase inhibitors represents a relevant example of convergent evolution.
Project description:BackgroundThe sequencing, de novo assembly and annotation of transcriptome datasets generated with next generation sequencing (NGS) has enabled biologists to answer genomic questions in non-model species with unprecedented ease. Reliable and accurate de novo assembly and annotation of transcriptomes, however, is a critically important step for transcriptome assemblies generated from short read sequences. Typical benchmarks for assembly and annotation reliability have been performed with model species. To address the reliability and accuracy of de novo transcriptome assembly in non-model species, we generated an RNAseq dataset for an intertidal gastropod mollusc species, Nerita melanotragus, and compared the assembly produced by four different de novo transcriptome assemblers; Velvet, Oases, Geneious and Trinity, for a number of quality metrics and redundancy.ResultsTranscriptome sequencing on the Ion Torrent PGM™ produced 1,883,624 raw reads with a mean length of 133 base pairs (bp). Both the Trinity and Oases de novo assemblers produced the best assemblies based on all quality metrics including fewer contigs, increased N50 and average contig length and contigs of greater length. Overall the BLAST and annotation success of our assemblies was not high with only 15-19% of contigs assigned a putative function.ConclusionsWe believe that any improvement in annotation success of gastropod species will require more gastropod genome sequences, but in particular an increase in mollusc protein sequences in public databases. Overall, this paper demonstrates that reliable and accurate de novo transcriptome assemblies can be generated from short read sequencers with the right assembly algorithms.