The evolutionary role of structural genomic variation

“The STRiVE Spe­cial Top­ic Net­work (“ Struc­tur­al vari­ants in evol­u­tion”) was estab­lished in 2026 and brings togeth­er research­ers from across the globe to study how struc­tur­al vari­ants, ran­ging from trans­pos­able ele­ments to large chro­mo­somal rearrange­ments such as inver­sions or fusions and fis­sions, shape gen­ome evol­u­tion, adapt­a­tion, and spe­ci­ation. Through col­lab­or­at­ive research, stand­ard­ised meth­ods, sem­inars, meet­ings, and train­ing ini­ti­at­ives, we aim to bridge com­munit­ies and unlock the diversity of struc­tur­al vari­ants and their evol­u­tion­ary implic­a­tions across the Tree of Life.

Our first activ­it­ies include an inaug­ur­al con­fer­ence in Por­tugal (8th to 10th of July 2026), a spe­cial issue in JEB and an online sem­in­ar series.

Struc­tur­al variants—such as inver­sions, duplic­a­tions, trans­pos­able ele­ments, and chro­mo­somal rearrangements—are now recog­nised as major drivers of gen­ome evol­u­tion, adapt­a­tion, and poten­tially spe­ci­ation. Yet research on struc­tur­al vari­ants remains frag­men­ted: dif­fer­ent vari­ant types are often stud­ied in isol­a­tion, across sep­ar­ate dis­cip­lines, organ­isms, and ana­lyt­ic­al tra­di­tions. As a res­ult, we still lack a coher­ent evol­u­tion­ary frame­work link­ing gen­ome archi­tec­ture to evol­u­tion­ary out­comes. This net­work aims to resolve this fragmentation.

Our net­work pur­sues three tightly linked objectives: 

1. Build con­cep­tu­al bridges across struc­tur­al vari­ant research: We con­nect research­ers study­ing dif­fer­ent classes of struc­tur­al vari­ants and sys­tems to move bey­ond isol­ated case stud­ies, integ­rate the­ory and data, and cla­ri­fy how gen­ome archi­tec­ture itself evolves and feeds back on adapt­a­tion and diversification.

2. Enable com­par­at­ive and meta-ana­lyt­ic struc­tur­al vari­ant research across spe­cies: By devel­op­ing and shar­ing stand­ard­ised, open pipelines, we aim to make cross-spe­cies ana­lyses of struc­tur­al vari­ation feas­ible, allow­ing robust infer­ence of gen­er­al evol­u­tion­ary pat­terns across pop­u­la­tions and taxa.

3. Devel­op meth­ods and train the next gen­er­a­tion: We focus strongly on early-career research­ers, provid­ing train­ing in both cut­ting-edge gen­om­ic meth­ods (e.g. pan­gen­omes, phased assem­blies) and evol­u­tion­ary inter­pret­a­tion, ensur­ing struc­tur­al vari­ant research remains access­ible rather than tech­nic­ally exclusive.

Please see more inform­a­tion and con­tact on our web­site: https://structuralvariantsstn.github.io/