Visualization and Characterization of Gene Group Distribution Patterns Across Genomes
Abstract
Genes of the same family often lie close together on a chromosome, yet how far apart family members sit, and whether their spacing follows any pattern, has rarely been measured consistently across genomes. We built an interactive web application that places the members of any of the 1,396 FlyBase gene groups on the banded ideogram of the fruit fly (Drosophila melanogaster) and lists each member's neighbours. While browsing it, we found strikingly symmetric gene sets in which consecutive members are almost evenly spaced. In the RAB GTPases, two 5.08 Mb spacings differ by only 634 bp. We also found that distances between neighbouring members fall into two populations: short-range (median 1.8 kb) and long-range (median 2.4 Mb). Although an arm-matched random control suggests that the even spacing (without a minimum-distance filter) as well as the long-range population arise largely by chance, the short-range population turns out to be a genuine clustering signal. We then extended the analysis to human and six other model organisms (mouse, zebrafish, Caenorhabditis elegans, Saccharomyces cerevisiae, Arabidopsis thaliana and maize), and every genome showed the same two populations. The mixture curve of the two is nearly constant across chromosomes in some genomes (Type I: fly, maize, Arabidopsis, C. elegans) but varies across chromosomes in others (Type II: human, mouse, zebrafish, yeast). Thus, across eight eukaryotes, family members lie in two distance populations. The scale of the short-range population follows the spacing of genes in each genome, and the long-range population matches random placement in fly and is consistent with it in the other genomes. Our results also show that visual patterns such as even spacing must be tested against chance before they are interpreted. Our tool and approach give a simple way to explore and compare gene clustering across species.
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BibTeX
@misc{wu2026visualization,
title = {{Visualization and Characterization of Gene Group Distribution Patterns Across Genomes}},
author = {Yanying Wu},
howpublished = {arXiv},
year = {2026},
month = nov,
doi = {10.48550/arxiv.2611.04037},
eprint = {2611.04037},
archivePrefix = {arXiv},
url = {https://arxiv.org/abs/2611.04037},
note = {CC BY 4.0},
}
RIS
TY - UNPB
TI - Visualization and Characterization of Gene Group Distribution Patterns Across Genomes
AU - Yanying Wu
PY - 2026
DA - 2026/11/02
PB - arXiv
DO - 10.48550/arxiv.2611.04037
UR - https://arxiv.org/abs/2611.04037
AB - Genes of the same family often lie close together on a chromosome, yet how far apart family members sit, and whether their spacing follows any pattern, has rarely been measured consistently across genomes. We built an interactive web application that places the members of any of the 1,396 FlyBase gene groups on the banded ideogram of the fruit fly (Drosophila melanogaster) and lists each member's neighbours. While browsing it, we found strikingly symmetric gene sets in which consecutive members are almost evenly spaced. In the RAB GTPases, two 5.08 Mb spacings differ by only 634 bp. We also found that distances between neighbouring members fall into two populations: short-range (median 1.8 kb) and long-range (median 2.4 Mb). Although an arm-matched random control suggests that the even spacing (without a minimum-distance filter) as well as the long-range population arise largely by chance, the short-range population turns out to be a genuine clustering signal. We then extended the analysis to human and six other model organisms (mouse, zebrafish, Caenorhabditis elegans, Saccharomyces cerevisiae, Arabidopsis thaliana and maize), and every genome showed the same two populations. The mixture curve of the two is nearly constant across chromosomes in some genomes (Type I: fly, maize, Arabidopsis, C. elegans) but varies across chromosomes in others (Type II: human, mouse, zebrafish, yeast). Thus, across eight eukaryotes, family members lie in two distance populations. The scale of the short-range population follows the spacing of genes in each genome, and the long-range population matches random placement in fly and is consistent with it in the other genomes. Our results also show that visual patterns such as even spacing must be tested against chance before they are interpreted. Our tool and approach give a simple way to explore and compare gene clustering across species.
ER -