Africa holds extraordinary biological diversity, from its human populations to its indigenous plants, wildlife and agricultural species. Yet, the data needed to study this diversity has not always been hosted, managed or governed by institutions on the continent.
A new publication in Nature Reviews Genetics introduces the African DSI DataBank, a federated infrastructure designed to address this gap and strengthen African participation in global bioscience.
.What is digital sequence information?Digital sequence information (DSI) refers broadly to digital information derived from biological material, including DNA and RNA sequences, protein sequences and related molecular data.
Researchers use these data to study genetic variation, understand disease, improve crops, investigate biodiversity and develop new biological products.When these resources are fragmented across databases or managed outside the institutions that generated them, researchers may face barriers to access, collaboration, attribution and control.A new infrastructure for African science.
The African DSI DataBank adopts a federated model that connects institutional, national, subregional and continental data systems. Rather than requiring every institution to surrender its data to one central repository, participating institutions can maintain custody of their data while enabling discovery, collaboration and access under defined conditions.The infrastructure is designed to support different types of biological information, including genomes, proteins, environmental DNA, metagenomic data and biological imaging. It also aims to improve the visibility and attribution of African-origin data already held in international repositories.This matters because infrastructure is not simply about storing information. It determines how easily scientists can find, analyse and build upon existing knowledge.Why this matters for AfricaBetter access to genomic and biodiversity data could strengthen research into African genetic diversity, infectious diseases, crop improvement, conservation and the sustainable use of biological resources.It also raises important questions about data sovereignty, consent, benefit-sharing and research equity. African institutions need the capacity to generate and analyse biological data, alongside the infrastructure and governance systems to manage it responsibly.The DataBank represents a step towards that goal. Its long-term impact will depend on institutional participation, sustainable funding, technical capacity and effective governance.
.For African biotechnology, the opportunity is clear: build systems that allow African researchers not only to contribute biological data, but also to lead the discoveries and innovations that emerge from it.
Read the original publication: https://doi.org/10.1038/s41576-026-01017-2MyAfroDNA — Exploring African genomics, genetic diversity and the science shaping our future.