Nature Reviews Genetics Nature Reviews Genetics is an invaluable source of information in genetics and genomics. The journal’s scope covers the whole breadth of these and related fields, bringing readers cutting-edge Reviews on topics that range from molecular genetics to evolution to systems biology. By publishing Reviews, Progress, Comment, Analysis and Perspective articles, among which are Viewpoints from opinion-leaders, Nature Reviews Genetics provides a balanced and unique perspective of this exciting field which goes well beyond the conventional review, and appeals to students and established scientists alike. All articles are written by carefully chosen leaders in their field and subject to rigorous peer-review, resulting in each issue providing balanced, high-quality and authoritative articles. While experts appreciate the insights and thought-provoking syntheses provided by the high-calibre authors, non-specialists are helped by the glossary definitions, additional background information in the boxes and highlighted references. http://feeds.nature.com/nrg/rss/current Nature Publishing Group en © 2025 Macmillan Publishers Limited, part of Springer Nature. All rights reserved. Nature Reviews Genetics © 2025 Macmillan Publishers Limited, part of Springer Nature. All rights reserved. [email protected]
  • Nature Reviews Genetics https://www.nature.com/uploads/product/nrg/rss.gif http://feeds.nature.com/nrg/rss/current <![CDATA[Ancient DNA insights into diverse pathogens and their hosts]]> https://www.nature.com/articles/s41576-025-00912-4 <![CDATA[
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    Nature Reviews Genetics, Published online: 03 December 2025; doi:10.1038/s41576-025-00912-4

    Ancient DNA techniques are being applied to study increasingly diverse pathogens of the past. The authors review the latest insights into pathogen–host coevolution, zoonotic events and the spread of pathogens, all while highlighting the importance of a One Health approach to this research.]]> <![CDATA[Ancient DNA insights into diverse pathogens and their hosts]]> Kelly E. BlevinsMaría C. Ávila-ArcosVerena J. SchuenemannAnne C. Stone doi:10.1038/s41576-025-00912-4 Nature Reviews Genetics, Published online: 2025-12-03; | doi:10.1038/s41576-025-00912-4 2025-12-03 Nature Reviews Genetics 10.1038/s41576-025-00912-4 https://www.nature.com/articles/s41576-025-00912-4 <![CDATA[Detecting transcription factor binding sites with PADIT-seq]]> https://www.nature.com/articles/s41576-025-00924-0 <![CDATA[

    Nature Reviews Genetics, Published online: 01 December 2025; doi:10.1038/s41576-025-00924-0

    In this Tools of the Trade article, Shubham Khetan presents PADIT-seq (protein affinity to DNA by in vitro transcription and RNA sequencing), which enables the reliable identification of low-affinity DNA binding sites for transcription factors.]]>     <![CDATA[Detecting transcription factor binding sites with PADIT-seq]]> Shubham Khetan doi:10.1038/s41576-025-00924-0 Nature Reviews Genetics, Published online: 2025-12-01; | doi:10.1038/s41576-025-00924-0 2025-12-01 Nature Reviews Genetics 10.1038/s41576-025-00924-0 https://www.nature.com/articles/s41576-025-00924-0     <![CDATA[Understanding microbial ecology and evolution with single-cell genomics]]> https://www.nature.com/articles/s41576-025-00918-y <![CDATA[

    Nature Reviews Genetics, Published online: 28 November 2025; doi:10.1038/s41576-025-00918-y

    Engelberts and Tyson discuss the potential and challenges of microbial single-cell genomics, emphasizing the integration of single-cell omics and meta-omics data as a promising opportunity to reveal the ecological and evolutionary processes that shape microbial communities.]]>     <![CDATA[Understanding microbial ecology and evolution with single-cell genomics]]> J. Pamela EngelbertsGene W. Tyson doi:10.1038/s41576-025-00918-y Nature Reviews Genetics, Published online: 2025-11-28; | doi:10.1038/s41576-025-00918-y 2025-11-28 Nature Reviews Genetics 10.1038/s41576-025-00918-y https://www.nature.com/articles/s41576-025-00918-y     <![CDATA[Dissecting pleiotropy to gain mechanistic insights into human disease]]> https://www.nature.com/articles/s41576-025-00908-0 <![CDATA[

    Nature Reviews Genetics, Published online: 28 November 2025; doi:10.1038/s41576-025-00908-0

    Genome-wide association studies of increasing scale have revealed the prevalence of pleiotropic genetic variants that affect multiple traits. In this Review, the authors overview the statistical methods and approaches used to identify these pleiotropic genetic variants and dissect how they contribute to shared mechanisms of diseases.]]>     <![CDATA[Dissecting pleiotropy to gain mechanistic insights into human disease]]> Yon Ho JeeYixuan HeWenhan LuYue ShiDaniel LazarevMark J. DalyMary Pat ReeveAlicia R. Martin doi:10.1038/s41576-025-00908-0 Nature Reviews Genetics, Published online: 2025-11-28; | doi:10.1038/s41576-025-00908-0 2025-11-28 Nature Reviews Genetics 10.1038/s41576-025-00908-0 https://www.nature.com/articles/s41576-025-00908-0     <![CDATA[Harnessing evolution to infer protein networks]]> https://www.nature.com/articles/s41576-025-00919-x <![CDATA[

    Nature Reviews Genetics, Published online: 18 November 2025; doi:10.1038/s41576-025-00919-x

    In this Journal Club, Nozomu Yachie recalls a 1999 paper by Pellegrini, Marcotte and colleagues that demonstrated how functional information, such as protein--protein interactions, could be revealed through patterns of genetic diversity across species.]]>     <![CDATA[Harnessing evolution to infer protein networks]]> Nozomu Yachie doi:10.1038/s41576-025-00919-x Nature Reviews Genetics, Published online: 2025-11-18; | doi:10.1038/s41576-025-00919-x 2025-11-18 Nature Reviews Genetics 10.1038/s41576-025-00919-x https://www.nature.com/articles/s41576-025-00919-x     <![CDATA[Harnessing artificial intelligence to advance CRISPR-based genome editing technologies]]> https://www.nature.com/articles/s41576-025-00907-1 <![CDATA[

    Nature Reviews Genetics, Published online: 18 November 2025; doi:10.1038/s41576-025-00907-1

    CRISPR-based genome editing has revolutionized biotechnology, enabling precise DNA modifications for research and therapy. The authors review how artificial intelligence, including deep learning, is advancing genome editing by improving guide RNA design, editor protein engineering, novel effector discovery and predicting editing outcomes.]]>     <![CDATA[Harnessing artificial intelligence to advance CRISPR-based genome editing technologies]]> Tyler ThomsonGen LiAmy StrilchukHaotian CuiBo WangBowen Li doi:10.1038/s41576-025-00907-1 Nature Reviews Genetics, Published online: 2025-11-18; | doi:10.1038/s41576-025-00907-1 2025-11-18 Nature Reviews Genetics 10.1038/s41576-025-00907-1 https://www.nature.com/articles/s41576-025-00907-1     <![CDATA[Nascent transcription quantification with scFLUENT-seq]]> https://www.nature.com/articles/s41576-025-00913-3 <![CDATA[

    Nature Reviews Genetics, Published online: 10 November 2025; doi:10.1038/s41576-025-00913-3

    In this Tools of the Trade article, Shaoqian Ma discusses scFLUENT-seq, a method that enables quantitative, genome-wide analysis of nascent transcription in single cells.]]>     <![CDATA[Nascent transcription quantification with scFLUENT-seq]]> Shaoqian Ma doi:10.1038/s41576-025-00913-3 Nature Reviews Genetics, Published online: 2025-11-10; | doi:10.1038/s41576-025-00913-3 2025-11-10 Nature Reviews Genetics 10.1038/s41576-025-00913-3 https://www.nature.com/articles/s41576-025-00913-3     <![CDATA[Genomics of drug target prioritization for complex diseases]]> https://www.nature.com/articles/s41576-025-00904-4 <![CDATA[

    Nature Reviews Genetics, Published online: 06 November 2025; doi:10.1038/s41576-025-00904-4

    In this Review, Chen et al. discuss how the advancement and integration of large-scale genetic resources, multi-omics data and sophisticated computational tools are improving drug development pipelines.]]>     <![CDATA[Genomics of drug target prioritization for complex diseases]]> Robert ChenÁine DuffyRon Do doi:10.1038/s41576-025-00904-4 Nature Reviews Genetics, Published online: 2025-11-06; | doi:10.1038/s41576-025-00904-4 2025-11-06 Nature Reviews Genetics 10.1038/s41576-025-00904-4 https://www.nature.com/articles/s41576-025-00904-4