Back

Evolutionary rate correlations reveal long-term co-evolutionary interactions in Drosophila melanogaster

Dagilis, A. J.; DiAngelis, B.; Lee, S.; Matute, D. R.

2026-05-23 evolutionary biology
10.64898/2026.05.21.726714 bioRxiv
Show abstract

Co-evolution between genes can occur for a variety of reasons, including co-expression of genes, epistatic interactions between them, physical interactions of gene products and many others. Co-evolutionary partners of a gene are therefore of great interest in identifying potential factors that contribute to any phenotype of interest. State-of-the-art approaches to detect these interactions use correlations of evolutionary rates across a broader phylogeny, and so by necessity identify interactions only among genes that are present across long evolutionary time periods. This makes the methods unwieldy when interest lies in a single focal organism in which the genes of interest may have evolved in the recent evolutionary past. Here, we present a new approach to calculating evolutionary rate correlations which focuses on extracting maximum coverage for a single focal species, while retaining signals of co-evolution across large clades. We show how this approach is able to identify potential interactions even in highly studied species and highly studied genes, with a focus on the D. melanogaster sex-determiner, Sxl, using data from 72 species of Dipterans.

Matching journals

The top 3 journals account for 50% of the predicted probability mass.

1
Molecular Biology and Evolution
488 papers in training set
Top 0.1%
32.3%
2
Genome Research
409 papers in training set
Top 0.1%
12.1%
3
PLOS Genetics
756 papers in training set
Top 2%
6.2%
50% of probability mass above
4
Genome Biology and Evolution
280 papers in training set
Top 0.3%
4.8%
5
Genetics
225 papers in training set
Top 1.0%
4.2%
6
PLOS Computational Biology
1633 papers in training set
Top 8%
4.2%
7
eLife
5422 papers in training set
Top 23%
3.9%
8
Molecular Ecology
304 papers in training set
Top 2%
2.6%
9
PLOS ONE
4510 papers in training set
Top 50%
1.8%
10
Bioinformatics
1061 papers in training set
Top 7%
1.8%
11
PLOS Biology
408 papers in training set
Top 10%
1.7%
12
BMC Ecology and Evolution
49 papers in training set
Top 1%
1.5%
13
BMC Genomics
328 papers in training set
Top 3%
1.3%
14
Methods in Ecology and Evolution
160 papers in training set
Top 2%
1.1%
15
Journal of Computational Biology
37 papers in training set
Top 0.4%
0.9%
16
Philosophical Transactions of the Royal Society B
51 papers in training set
Top 5%
0.9%
17
GENETICS
189 papers in training set
Top 1%
0.9%
18
Scientific Reports
3102 papers in training set
Top 69%
0.9%
19
Journal of Molecular Evolution
21 papers in training set
Top 0.3%
0.9%
20
iScience
1063 papers in training set
Top 27%
0.9%
21
Molecular Ecology Resources
161 papers in training set
Top 0.9%
0.9%
22
Evolution
199 papers in training set
Top 2%
0.8%
23
Genome Biology
555 papers in training set
Top 8%
0.7%
24
Nature Communications
4913 papers in training set
Top 65%
0.7%
25
Virus Evolution
140 papers in training set
Top 2%
0.6%
26
Nature Ecology & Evolution
113 papers in training set
Top 5%
0.6%
27
Communications Biology
886 papers in training set
Top 30%
0.6%
28
Evolution Letters
71 papers in training set
Top 2%
0.6%
29
NAR Genomics and Bioinformatics
214 papers in training set
Top 4%
0.6%