Transcriptomic analysis of non-model Drosophilidae reveals novel AMP candidates

Our study demonstrates the feasibility of functional immune analyses in non-model Drosophila species and reveals striking lineage-specific differences in immune gene repertoire and expression. These findings highlight the importance of non-model, wild-derived samples for uncovering novel immune effectors and understanding evolutionary forces shaping insect immunity.

Authors

Institutions

Publication Details

Journal
BMC Biology
Published
2026-02-03
DOI
https://doi.org/10.1186/s12915-026-02535-5
Primary Topic
Invertebrate Immune Response Mechanisms
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Transcriptomic analysis of non-model Drosophilidae reveals novel AMP candidates

Darren J. Obbard, Dhobasheni Newman, Pankaj Dhakad
BMC Biology
Invertebrate Immune Response Mechanisms
article

Transcriptomic analysis of non-model Drosophilidae reveals novel AMP candidates

Darren J. Obbard, Dhobasheni Newman, Pankaj Dhakad
article en

Abstract

Our study demonstrates the feasibility of functional immune analyses in non-model Drosophila species and reveals striking lineage-specific differences in immune gene repertoire and expression. These findings highlight the importance of non-model, wild-derived samples for uncovering novel immune effectors and understanding evolutionary forces shaping insect immunity.

BMC BiologyVol. 24(1)
University of California, Davis (US), University of Edinburgh (GB)
Life in Land
Openalex Percentile: Top 70%
Invertebrate Immune Response Mechanisms
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.