BeetleAtlas 2: An enhanced Tribolium castaneum web resource for tissue and developmental transcriptomics allowing refinement of gene predictions.

Leader DP; Naseem MT; Rinke JL; Halberg KV

Forschungsartikel (Zeitschrift) | Peer reviewed

Zusammenfassung

BeetleAtlas is an online resource for tissue- and stage-specific transcriptomics in the red flour beetle, Tribolium castaneum. On updating from the original Tcas5.2 genome assembly to the more recent improved icTriCast1.1 genome assembly it became evident that there were major discrepancies between the gene models of the two genome annotations in use: the OGS3 and the NCBI gene sets. As neither was clearly superior we implemented a new design in BeetleAtlas 2 (beetleatlas.org) comprising two parallel 'modes' - one incorporating results using the NCBI gene models and a second incorporating those using the OGS3 gene models. This allows direct comparison where equivalent gene models exist: 50-57% of cases. To aid resolution of discrepancies between the two gene model sets and verification of results, gene models are linked to a custom visualization of RNA-seq read coverage of the genome in the UCSC Genome Browser. This displays reads from 22 tissues and life stages superimposed on the icTriCast1.1 genome assembly. Reference tracks show the NCBI gene models, the OGS3 gene models after translation of their coordinates from the Tcas5.2 assembly, and 1050 discontinued NCBI gene models from the previous assembly after a similar transfer of coordinates. We document various situations in which distinct patterns of expression of the tissues can be used to confirm and extend correlations between the two gene sets, resolve discrepancies between them, make corrections and identify putative genes or exons absent from the current gene sets. BeetleAtlas 2 allows those involved in Tribolium research to avoid the pitfalls inherent in incorrect gene models when planning experiments on specific genes and interpreting the results. It also demonstrates how BeetleAtlas 2 might play an important role in establishing a revised gene set for Tribolium castaneum in the future.

Details zur Publikation

FachzeitschriftPLoS Computational Biology
Jahrgang / Bandnr. / Volume22
Ausgabe / Heftnr. / Issue6
Seitenbereiche1014314-e1014314
StatusVeröffentlicht
Veröffentlichungsjahr2026 (01.06.2026)
Sprache, in der die Publikation verfasst istEnglisch
StichwörterGene prediction; software; Tribolium castaneum

Autor*innen der Universität Münster

Rinke, Janina