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Related Concept Videos

Evolutionary Relationships through Genome Comparisons02:54

Evolutionary Relationships through Genome Comparisons

Genome comparison is one of the excellent ways to interpret the evolutionary relationships between organisms. The basic principle of genome comparison is that if two species share a common feature, it is likely encoded by the DNA sequence conserved between both species. The advent of genome sequencing technologies in the late 20th century enabled scientists to understand the concept of conservation of domains between species and helped them to deduce evolutionary relationships across diverse...
Multi-species Conserved Sequences02:51

Multi-species Conserved Sequences

Next-generation sequencing technologies have created large genomic databases of a variety of animals and plants. Ever since the human genome project was completed, scientists studied the genome of primates, mammals, and other phylogenetically distant living beings. Such large-scale  studies have provided new insights into the evolutionary relationship between organisms.
Although the genome of each species varies greatly from each other, a few sequences are highly conserved. Such conserved DNA...
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Cis-regulatory Sequences

Cis-regulatory sequences are short fragments of non-coding DNA that are present on the same chromosomes as the genes that they regulate. These fragments serve as binding sites for transcriptional regulators, proteins that are responsible for controlling gene transcription and differential gene expression across cell types in eukaryotes. Cis-regulatory sequences can be close to the gene of interest or thousands of bases away in the DNA sequence; however, those sequences that are further away are...

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Related Experiment Video

Updated: May 19, 2026

A Whole Mount In Situ Hybridization Method for the Gastropod Mollusc Lymnaea stagnalis
07:33

A Whole Mount In Situ Hybridization Method for the Gastropod Mollusc Lymnaea stagnalis

Published on: March 15, 2016

MolluscaGenes: A Transcriptomic Database for the Mollusca.

Jorge L Pérez-Moreno1, Paul S Katz1

  • 1Department of Biology, University of Massachusetts, Amherst, MA, USA.

Biorxiv : the Preprint Server for Biology
|May 18, 2026
PubMed
Summary
This summary is machine-generated.

MolluscaGenes is a new database unifying transcriptomes from 299 mollusc species. This resource aids in understanding mollusc evolution and biology, exemplified by a study on nicotinic acetylcholine receptors.

Keywords:
GenomicsHMMschemotactile receptorsgene family evolutionion channelsnicotinic acetylcholine receptor superfamilyprotein domains

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Last Updated: May 19, 2026

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Published on: December 23, 2025

Area of Science:

  • Genomics
  • Bioinformatics
  • Evolutionary Biology

Background:

  • The phylum Mollusca is highly diverse but lacks comprehensive genomic data.
  • Fragmented transcriptomic resources hinder evolutionary and biological studies in molluscs.

Purpose of the Study:

  • To create MolluscaGenes, a unified database of molluscan transcriptomes.
  • To provide tools for enhanced genomic analysis within Mollusca.
  • To facilitate evolutionary and biological research on molluscs.

Main Methods:

  • Compiled transcriptomic data from 299 species across all eight mollusc classes.
  • Developed searchable databases (BLAST, DIAMOND) and molluscan-specific Hidden Markov Models (HMMs).
  • Conducted a phylum-wide analysis of the nicotinic acetylcholine receptor (nAChR) superfamily.

Main Results:

  • MolluscaGenes integrates transcriptomes from 299 species, covering diverse tissues and developmental stages.
  • The nAChR superfamily analysis identified 3,586 sequences across 190+ species, revealing 15 phylogenetic clades.
  • Discovered lineage-specific expansions, novel nAChR clades with altered ligand-binding residues, and the placement of CRs within the nAChR phylogeny.

Conclusions:

  • MolluscaGenes is a foundational resource for molluscan research.
  • The database accelerates the study of unique molluscan biology and evolutionary history.
  • The nAChR analysis highlights significant evolutionary innovations within Mollusca.