Back

Horizontal transfer of an antimicrobial peptide across insects

Aumont, C.; Dhakad, P.; Alff, D. M.; McMahon, D. P.; Hanson, M. A.

2026-03-05 evolutionary biology
10.64898/2026.03.03.709459 bioRxiv
Show abstract

Antimicrobial peptides (AMPs) are key defence molecules of the innate immune system of plants and animals. Understanding the evolutionary origins of AMPs can help to explain how immune systems acquire novelty and vary in their defensive capabilities. However, AMPs evolve rapidly, and so the origins of similar AMPs across organisms is often unclear. Furthermore, false negatives due to low search sensitivity are common and can hinder confident annotations about true absences. Due to these difficulties, understanding whether similar AMP genes found in diverse organisms represent ancestral molecules or evolutionary novelties has been challenging. In this report, we present evidence of horizontal gene transfer (HGT) of the antifungal peptide gene Drosomycin across insects. We show that in Diptera, the presence of Drosomycin is restricted to the Melanogaster group and additionally the distant relative Drosophila busckii. We go on to recover Drosomycin genes in cockroaches (Blattodea), mantises (Mantodea), one katydid (Orthoptera), various beetles (Coleoptera), and a recently acquired pseudogenized Drosomycin locus in Liposcelis booklice (Psocodea), but no other insects. Explaining this diversity through shared ancestry requires at least 50 independent loss events, or just seven HGT events. Previous studies have suggested that similar AMPs found across divergent species reflect conservation from a common ancestor, or due to their small size, that they arose via convergent evolution resulting from pathogen-imposed selection. Our findings suggest horizontal gene transfer can be responsible for the presence of some AMP genes found scattered across the tree of life. By presenting a mechanism through which immune systems can acquire novelty, our study also suggests a possible explanation for certain lineage-specific competencies for defence against infectious disease. While loss of AMP genes is common in certain lineages, here we suggest gain of AMPs can occur just as suddenly.

Matching journals

The top 6 journals account for 50% of the predicted probability mass.

1
Molecular Ecology
304 papers in training set
Top 0.6%
9.8%
2
Frontiers in Ecology and Evolution
60 papers in training set
Top 0.1%
9.8%
3
Molecular Biology and Evolution
488 papers in training set
Top 0.5%
8.9%
4
Proceedings of the Royal Society B: Biological Sciences
341 papers in training set
Top 0.7%
8.2%
5
Genome Biology and Evolution
280 papers in training set
Top 0.2%
6.6%
6
PLOS Genetics
756 papers in training set
Top 2%
6.6%
50% of probability mass above
7
eLife
5422 papers in training set
Top 27%
3.5%
8
PLOS Pathogens
721 papers in training set
Top 4%
3.5%
9
Insect Molecular Biology
19 papers in training set
Top 0.1%
2.8%
10
PLOS Biology
408 papers in training set
Top 6%
2.5%
11
PLOS ONE
4510 papers in training set
Top 46%
2.5%
12
Evolution Letters
71 papers in training set
Top 0.9%
2.0%
13
Scientific Reports
3102 papers in training set
Top 60%
1.7%
14
PeerJ
261 papers in training set
Top 8%
1.7%
15
iScience
1063 papers in training set
Top 17%
1.6%
16
Journal of Evolutionary Biology
98 papers in training set
Top 0.6%
1.4%
17
BMC Genomics
328 papers in training set
Top 3%
1.4%
18
Journal of Experimental Biology
249 papers in training set
Top 2%
1.4%
19
Journal of Molecular Evolution
21 papers in training set
Top 0.2%
1.4%
20
Current Biology
596 papers in training set
Top 11%
1.3%
21
BMC Ecology and Evolution
49 papers in training set
Top 1%
1.3%
22
BMC Biology
248 papers in training set
Top 2%
1.2%
23
Proceedings of the National Academy of Sciences
2130 papers in training set
Top 38%
1.2%
24
Open Biology
95 papers in training set
Top 1%
1.2%
25
Ecology and Evolution
232 papers in training set
Top 3%
1.1%
26
Genes
126 papers in training set
Top 3%
0.7%
27
Biology Letters
66 papers in training set
Top 0.8%
0.7%
28
G3 Genes|Genomes|Genetics
351 papers in training set
Top 3%
0.6%
29
Biology Open
130 papers in training set
Top 4%
0.6%
30
Molecular Phylogenetics and Evolution
61 papers in training set
Top 0.4%
0.6%