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The ivory shell, Babylonia areolata, is a commercially important aquaculture species in the southeast coast of mainland China. The middle veliger stage, later veliger stage, and juvenile stage are distinct larval stages in B. areolata development. In this study, we used label-free quantification proteomics analysis of the three developmental stages of B. areolata. We identified a total of 5,583 proteins, of which 1,419 proteins expression level showed significant differential expression. The results of gene ontology enrichment analysis showed that the number of proteins involved in metabolic and cellular processes were the most abundant. Those proteins mostly had functions such as binding, catalytic activity and transporter activity. The results of Kyoto Encyclopedia of Genes and Genomes enrichment analysis showed that the number of proteins involved in the ribosome, carbon metabolism, and lysosome pathways were the most abundant, indicating that protein synthesis and the immune response were active during the three stages of development. This is the first study to use proteomics and real-time PCR to study the early developmental stages of B. areolata, which could provide relevant data on gastropod development. Our results provide insights into the novel aspects of protein function in shell formation, body torsion, changes in feeding habits, attachment and metamorphosis, immune-related activities in B. areolata larvae.
Pubmed ID: 29674673
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THIS RESOURCE IS NO LONGER IN SERVICE, documented on February 1st, 2022. Software application for genetic analysis of classical biometric traits like blood pressure or height that are caused by a combination of polygenic inheritance and complex environmental forces. (entry from Genetic Analysis Software)
View all literature mentionsIntegrated database resource consisting of 16 main databases, broadly categorized into systems information, genomic information, and chemical information. In particular, gene catalogs in completely sequenced genomes are linked to higher-level systemic functions of cell, organism, and ecosystem. Analysis tools are also available. KEGG may be used as reference knowledge base for biological interpretation of large-scale datasets generated by sequencing and other high-throughput experimental technologies.
View all literature mentionsDatabase of known and predicted protein interactions. The interactions include direct (physical) and indirect (functional) associations and are derived from four sources: Genomic Context, High-throughput experiments, (Conserved) Coexpression, and previous knowledge. STRING quantitatively integrates interaction data from these sources for a large number of organisms, and transfers information between these organisms where applicable. The database currently covers 5''214''234 proteins from 1133 organisms. (2013)
View all literature mentionsSoftware package for functional analysis of sequences by classifying them into families and predicting presence of domains and sites. Scans sequences against InterPro's signatures. Characterizes nucleotide or protein function by matching it with models from several different databases. Used in large scale analysis of whole proteomes, genomes and metagenomes. Available as Web based version and standalone Perl version and SOAP Web Service.
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