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Discover research articles across all indexed journals

The infection enigma: why some people die from typically harmless germs

Nature Diana Kwon Jan 15, 2026 DOI: 10.1038/d41586-026-00082-1

Mosaic lateral heterostructures in two-dimensional perovskite

Nature Shuchen Zhang, Yuan Lu, Linghai Zhang et al. Jan 15, 2026 DOI: 10.1038/s41586-025-09949-1

The academic community failed Wikipedia for 25 years — now it might fail us

Nature Dariusz Jemielniak Jan 15, 2026 DOI: 10.1038/d41586-026-00075-0

How did birds evolve? The answer is wilder than anyone thought

Nature Michael Marshall Jan 15, 2026 DOI: 10.1038/d41586-026-00076-z

AI writing tools could lead scholars from low-income countries to erase their own voices

Nature Zhenning Li, Zhengbing He Jan 15, 2026 DOI: 10.1038/d41586-026-00121-x

Should the Loch Ness Monster have a scientific name?

Nature Jan 15, 2026 DOI: 10.1038/d41586-025-03991-9

AI can spark creativity — if we ask it how, not what, to think

Nature Brian Uzzi Jan 15, 2026 DOI: 10.1038/d41586-026-00049-2

Don’t assume that women’s low retraction rates reflect male ‘boldness’

Nature Carrie J. McAdams, Kristine M. Erlandson, Sarah N. Cross et al. Jan 15, 2026 DOI: 10.1038/d41586-026-00120-y

AlphaFold can help African researchers to do cutting-edge structural biology

Nature Emmanuel Nji Jan 15, 2026 DOI: 10.1038/d41586-026-00072-3

No world-changing discoveries without biodiversity

Nature Kenneth D. Winkel, Brendan A. Wintle Jan 15, 2026 DOI: 10.1038/d41586-026-00122-w

Near-infrared-driven photocatalytic CO2 reduction to C2 hydrocarbons by bis(terpyridine)-metal functionalized lead halide frameworks

Nature Communications Yukong Li, Ziyi Wang, Xiaoyang He et al. Jan 15, 2026 DOI: 10.1038/s41467-026-68450-z

Ancient ‘snowball’ Earth had frigidly briny seas

Nature Jan 15, 2026 DOI: 10.1038/d41586-025-04081-6

Meta-analysis reveals negative but highly variable impacts of invasive alien species across terrestrial insect orders

Nature Communications Grace L. V. Skinner, Rob Cooke, Helen E. Roy et al. Jan 15, 2026 DOI: 10.1038/s41467-025-67925-9

Abstract Insects are crucial to ecosystem functioning but face numerous threats, with invasive alien species likely among the most severe. As insect declines continue, there is a growing need to synthesise evidence on how invasive alien species affect insects, as research has historically focused more on insects as invaders than as victims. Here we conduct a global meta-analysis encompassing 318 effect sizes across 52 studies, assessing invasive alien species impact on terrestrial insect orders (Coleoptera, Hemiptera, Hymenoptera, and Orthoptera), and examining factors influencing these effects. We show that invasive alien species reduce the abundance of insects included in our study by 31%, and species richness by 26%, though these impacts are highly variable across taxa. Stronger negative impacts are found for invasive alien animals compared to invasive alien plants, and for Hemiptera (true bugs) and Hymenoptera (bees, wasps, ants) compared to Coleoptera (beetles). These findings provide quantitative estimates for the relative vulnerability of insects to invasive alien species, which is an important step towards halting declines.

A self-breathing electrode enabled by interface regulation and gradient wettability engineering for industrial H2O2 electrosynthesis

Nature Communications Ye Tian, Luowei Pei, Shuo Wang et al. Jan 15, 2026 DOI: 10.1038/s41467-026-68436-x

Fresh starts: how to thrive when you leave academia

Nature Josie Glausiusz Jan 15, 2026 DOI: 10.1038/d41586-026-00085-y

Classical criticality via quantum annealing

Nature Communications Pratik Sathe, Andrew D. King, Susan M. Mniszewski et al. Jan 15, 2026 DOI: 10.1038/s41467-025-67568-w

Abstract Quantum annealing provides a powerful platform for simulating magnetic materials and realizing statistical physics models, presenting a compelling alternative to classical Monte Carlo methods. We demonstrate that quantum annealers can accurately reproduce phase diagrams and simulate critical phenomena without suffering from the critical slowing down that often affects classical algorithms. To illustrate this, we study the piled-up dominoes model, which interpolates between the ferromagnetic 2D Ising model and Villain’s fully frustrated “odd model”. We map out its phase diagram and employ finite-size scaling and Binder cumulants on a quantum annealer to study critical exponents for thermal phase transitions. Our method achieves systematic temperature control by tuning the energy scale of the Hamiltonian, eliminating the need to adjust the physical temperature of the quantum hardware. This work demonstrates how, through fine-tuning and calibration, a quantum annealer can be employed to apply sophisticated finite-size scaling techniques from statistical mechanics. Our results establish quantum annealers as robust statistical physics simulators, offering a novel pathway for studying phase transitions and critical behavior.

Student mental health is in crisis — here’s how to help

Nature Lauro Miranda Demenech, Anne Duffy Jan 15, 2026 DOI: 10.1038/d41586-026-00084-z

Improved in vivo gene knockout with high specificity using multiplexed Cas12a sgRNAs

Nature Communications Fillip Port, Martha A. Buhmann, Jun Zhou et al. Jan 15, 2026 DOI: 10.1038/s41467-026-68434-z

Abstract CRISPR nuclease-mediated gene knock-out is limited by suboptimal sgRNAs, inaccessible target sites, and undesired repair outcomes. Here, we present a Cas12a-based system in Drosophila that targets each gene with four sgRNAs to overcome these limitations. Multiplexed sgRNAs act through redundancy and synergism, frequently creating deletions between target sites and increasing the fraction of loss-of-function mutations. We show that multiplexed gene targeting is well tolerated and does not cause widespread proximity effects. To visualize CRISPR-nuclease activity in living animals, we developed a screening assay and used it to assess Cas12a activity across 33% of the Drosophila genome in combination with over 2000 sgRNAs. This revealed remarkably high on-target (>99%) and very low (<1%) off-target activity of multiplexed Cas12a sgRNA arrays. Quantitative side-by-side comparisons with current Cas9-based systems targeting over 100 genes in parallel demonstrate that multiplexed Cas12a gene targeting achieves superior performance and reveals phenotypes missed by established methods. The system described here provides a framework for reliable gene knock-out in multicellular systems.

Developing super-tortillas to address malnutrition in Latin America

Nature Rachael Pells Jan 15, 2026 DOI: 10.1038/d41586-026-00087-w

A physics-informed graph neural network conserving linear and angular momentum for dynamical systems

Nature Communications Vinay Sharma, Olga Fink Jan 15, 2026 DOI: 10.1038/s41467-025-67802-5