Back

Evolutionary dynamics of insect odorant receptors reveal ecological tuning shaping olfactory perception

Zhang, T.; Yang, X.; Fu, Y.; Xue, W.; Zhang, Y.; Duan, S.; Yin, Y.; Guo, Y.; Gao, C.; Liu, Y.; Li, G.; Xu, C.; Lu, H.

2026-02-13 evolutionary biology
10.64898/2026.02.12.705626 bioRxiv
Show abstract

Insect olfaction is facilitated by a heterotetrameric odorant receptor-odorant receptor co-receptor (OR-Orco) complex, which is distinct from that of vertebrate ORs. However, extreme sequence divergence among insect ORs has hindered a unified understanding of their evolutionary history and ecological importance. In this study, we present a multiscale analysis of OR genes across 115 insect species. We overcome the limitations of traditional phylogenetic approaches by applying a protein similarity network-based strategy and introduce a "trunk-branch" framework to systematically describe the evolutionary trajectories of insect ORs across sequence, structural, and functional levels. Although they possess different sequences and structural communities, all the insect orders were found to contain fully functional OR repertoires. Notably, insects adapted to end-Permian mass extinction through shifts in their functional OR repertoires, and early- and late-diverging lineages exhibit distinct patterns of OR differentiation. The emergence of Orco represents a key evolutionary transition point, marking the shift from a homomeric to a heteromeric complex accompanied by specialization of the extracellular domain and binding pocket. Furthermore, we established robust associations between olfactory recognition breadth and ecological variables, including diet, circadian rhythm, and habitat. Our findings provide a comprehensive framework for the evolution of insect ORs, explaining the complex adaptive relationship between insect olfactory potential and diverse ecological environments.

Matching journals

The top 5 journals account for 50% of the predicted probability mass.

1
National Science Review
22 papers in training set
Top 0.1%
14.6%
2
Nature Ecology & Evolution
113 papers in training set
Top 0.1%
14.6%
3
Nature Communications
4913 papers in training set
Top 21%
9.1%
4
eLife
5422 papers in training set
Top 8%
8.4%
5
Proceedings of the National Academy of Sciences
2130 papers in training set
Top 11%
6.3%
50% of probability mass above
6
Advanced Science
249 papers in training set
Top 4%
4.8%
7
PLOS Biology
408 papers in training set
Top 3%
3.9%
8
Molecular Biology and Evolution
488 papers in training set
Top 1%
3.6%
9
Science Advances
1098 papers in training set
Top 6%
3.6%
10
iScience
1063 papers in training set
Top 9%
2.4%
11
Science
429 papers in training set
Top 11%
2.3%
12
Cell Reports
1338 papers in training set
Top 21%
2.1%
13
Communications Biology
886 papers in training set
Top 6%
1.9%
14
Cell
370 papers in training set
Top 11%
1.7%
15
Developmental Cell
168 papers in training set
Top 9%
1.3%
16
Current Biology
596 papers in training set
Top 12%
1.1%
17
PLOS Computational Biology
1633 papers in training set
Top 22%
0.9%
18
Cell Host & Microbe
113 papers in training set
Top 5%
0.8%
19
Science Bulletin
22 papers in training set
Top 0.8%
0.8%
20
Protein & Cell
25 papers in training set
Top 2%
0.7%
21
Cell Discovery
54 papers in training set
Top 5%
0.7%
22
Neuron
282 papers in training set
Top 9%
0.7%
23
BMC Biology
248 papers in training set
Top 5%
0.7%
24
Proceedings of the Royal Society B: Biological Sciences
341 papers in training set
Top 7%
0.7%
25
Science China Life Sciences
26 papers in training set
Top 3%
0.6%
26
mBio
750 papers in training set
Top 13%
0.6%
27
PLOS Pathogens
721 papers in training set
Top 10%
0.6%
28
Genomics, Proteomics & Bioinformatics
171 papers in training set
Top 7%
0.6%