Back

Deciphering chromosome fusion in D. miranda's neo-sex chromosome through single-copy and repetitive oligo probes

Bruno, H.; Almeida, I.; D. Vibranovski, M.

2026-01-22 evolutionary biology
10.64898/2026.01.20.700498 bioRxiv
Show abstract

Drosophila miranda is considered an excellent model for studying sex chromosome evolution due to its neo-sex chromosomes, which originated from fusions between autosomes and sex chromosomes. In this study, we took advantage of the latest genome assembly of D. miranda to design the first oligo probe libraries targeting neo-sex chromosomes, covering X and Y-linked regions with times ranging from [~]1.5 to 60 million years. These libraries, which include both single-copy and repetitive oligos, were generated by integrating the OligoY approach to the conventional OligoMiner pipeline and validated through fluorescence in situ hybridization (FISH). We optimized oligo density and spacing parameters to predict consistent and effective chromosome painting. Beyond tool improvement, our mapping of the three largest unplaced Y-linked scaffolds in D. miranda reveals a complex evolutionary mechanism driving the current structure of the Y chromosome, including chromosomal translocation, centromere loss, and inversions. This work provides essential tools for sex chromosome identification via probe labeling and offers a foundation for exploring the spatial and evolutionary dynamics of sex chromosomes across different cell types. Author summaryWhile previous studies have focused on using single-copy oligonucleotides for chromosome painting, these oligos have limited effectiveness in targeting repetitive regions such as ribosomal DNA, pericentromeres, and mainly Y chromosomes. In this study, we integrated the OligoMiner and OligoY pipelines to design highly specific oligonucleotide libraries capable of targeting both single-copy and repetitive regions in any chromosome, enabling comprehensive painting of autosome and sex chromosomes. Using Drosophila miranda neo-sex chromosomes as a model, we validated the specificity of our oligo libraries through fluorescence in situ hybridization (FISH). Our results demonstrate that it is possible to achieve successful chromosome painting of sex chromosomes ranging from 1.5 to 60 million years old by combining single-copy and repetitive oligos, without compromising specificity. Notably, we painted the neo-Y chromosome of D. miranda and proposed a hypothesis to give rise to its current structure. This approach provides a powerful tool for studying chromosome evolution and organization, particularly in complex and repetitive genomic regions.

Matching journals

The top 8 journals account for 50% of the predicted probability mass.

1
Molecular Ecology Resources
161 papers in training set
Top 0.1%
17.9%
2
G3 Genes|Genomes|Genetics
351 papers in training set
Top 0.2%
7.0%
3
Chromosome Research
18 papers in training set
Top 0.1%
6.2%
4
Bioinformatics
1061 papers in training set
Top 5%
4.8%
5
iScience
1063 papers in training set
Top 2%
4.8%
6
PLOS ONE
4510 papers in training set
Top 35%
4.2%
7
Scientific Reports
3102 papers in training set
Top 39%
3.5%
8
BMC Bioinformatics
383 papers in training set
Top 3%
3.0%
50% of probability mass above
9
Gigabyte
60 papers in training set
Top 0.4%
2.8%
10
BMC Biology
248 papers in training set
Top 0.6%
2.3%
11
Genetics
225 papers in training set
Top 2%
2.1%
12
BMC Genomics
328 papers in training set
Top 2%
2.0%
13
BMC Ecology and Evolution
49 papers in training set
Top 0.8%
1.8%
14
G3: Genes, Genomes, Genetics
222 papers in training set
Top 0.5%
1.6%
15
Genes
126 papers in training set
Top 1%
1.5%
16
PLOS Genetics
756 papers in training set
Top 10%
1.5%
17
Developmental Biology
134 papers in training set
Top 2%
1.2%
18
Frontiers in Cell and Developmental Biology
218 papers in training set
Top 6%
1.2%
19
PLOS Computational Biology
1633 papers in training set
Top 20%
1.2%
20
Open Biology
95 papers in training set
Top 1%
1.2%
21
NAR Genomics and Bioinformatics
214 papers in training set
Top 3%
1.2%
22
Bioinformatics Advances
184 papers in training set
Top 4%
1.1%
23
Journal of Experimental Zoology Part B: Molecular and Developmental Evolution
22 papers in training set
Top 0.5%
1.1%
24
Genome Research
409 papers in training set
Top 3%
0.9%
25
The Plant Journal
197 papers in training set
Top 3%
0.9%
26
Frontiers in Genetics
197 papers in training set
Top 8%
0.9%
27
Journal of Molecular Evolution
21 papers in training set
Top 0.4%
0.8%
28
Life Science Alliance
263 papers in training set
Top 1%
0.8%
29
Genome Biology
555 papers in training set
Top 7%
0.8%
30
Biology Open
130 papers in training set
Top 3%
0.8%