Evolution of underwater silk in caddisflies (Insecta:Trichoptera) and other freshwater arthropods

Aquatic insects have been neglected in genomic studies. However, they exhibit a suite of ecologically relevant key innovations and adaptive traits, the evolution and genetic background of which remain poorly understood. This project is designed to fill this gap by generating and analyzing genomic data to study the evolution of adhesive underwater silk in Trichoptera (caddisflies) and other (semi-) aquatic arthropods. Caddisflies exhibit the greatest diversity of underwater silk uses. This exciting key innovation has potentially facilitated their radiation across a multitude of different aquatic environments. Further, the unique properties of under water silk (polymerization in aquatic environment, enormous tensile strength, elasticity) makes this system interest- ing for applied sciences. Using a comparative genomics framework and targeting mechanisms such as gene family expansion, selection, presence/absence of genes and variation in gene sequences (e.g. repeat motifs in important silk gene clusters), the project aims to uncover the genomic basis of the evolution of genes and gene families encoding for silk phenotypes in Trichoptera and other freshwater arthropods. Further, by looking at different developmental stages, genetic modulation and regulation of the different properties of silk will be investigated, i.e., the role of gene expression and post-transcriptional modifications (e.g., alternative splicing) and potential methylation patterns in silk genes will be examined. Understanding the genomic evolution and molecular mechanisms of silk production will not only address questions regarding molecular adaptations responsible for the diversification in aquatic environments but also lay the foundation to gauge the potential of underwater silk for biomedical and biotechnological applications.

The German Research Foundation (Deutsche Forschungsgemeinschaft) priority program “The genomic basis of evolutionary innovations” (SPP2349—Project No. 502865717 awarded to J.H.) enabled this research.

Download Metadata as EML

Data and Resources

Additional Info

Field Value
Geographic coverage
Geographic description Germany North America
Taxonomic coverage
Species Enoicyla pusilla
Species Philocasca rivularis
Order Trichoptera
Order Lepidoptera
Species Elophila obliteralis
Species Hyposmocoma kahamanoa
Family Limnephilidae
General taxonomic description Trichoptera
Other info
Last Updated April 21, 2026, 10:11 (UTC)
Created April 20, 2026, 12:50 (UTC)

Responsible parties

Creator and point of contact
Name Jacqueline Heckenhauer
Organization affiliations
Senckenberg Gesellschaft für Naturforschung

Associated publications

Publication
Link https://doi.org/10.1002/ece3.73327
Publication
Link https://doi.org/10.1016/j.tig.2025.01.004
Publication
Link https://doi.org/10.1002/jez.b.23301
Publication
Link https://doi.org/10.1093/g3journal/jkae093
Publication
Link https://doi.org/10.1007/978-1-0716-3838-5_16
Publication
Link https://doi.org/10.1016/j.isci.2023.107253
Publication
Link https://doi.org/10.1073/pnas.2221528120

Research data management planning

Types of data that will be / are / were created during the project Numeric (spreadsheet, measurements, etc.) , Taxonomic data , Molecular Sequence Data
Estimated volume of created data Cannot estimate
Data will be stored at (long-term archived) • What data outputs will your research generate and what data will have value to other researchers? - raw PacBio HiFi and IsoSeq reads in bam/fq format - raw Illumina reads (RNA sequences and DNAsequences) - various results of genomic analysis (genome assemblies, genome annotations) • When will you share the data? - upon manuscript submission, or on request for collaborations (feel free to ask) • Where will you make the data available? - raw sequence reads: NCBI SRA (Sequence Read Archive) - genome assemblies: NCBI GenBank - sequences of silk genes: NCBI Genbank - other results of genomic analysis (repeats, transposable elements, annotations, etc.): figshare or similar repositories, supplementary material of submitted manuscripts • How will other researchers be able to access the data? - accession numbers for NCBI, doi for repositories mentioned here and in the published manuscripts • Are any limits to data sharing required? no • How will you ensure that key datasets are preserved to ensure their long-term value? besides Figshare and NCBI, available on external hard drives • What resources will you require to deliver your plan? external hard drive

Link to this dataset:

https://dataportal.senckenberg.de/dataset/3b63501c-382f-4247-89b7-6ff2218ae6c4