Whitewoods, Christopher D.
Published in
PLoS Biology
Leaves are interwoven with large air spaces to increase the efficiency of photosynthesis; however, how these air spaces form and how different patterns have evolved is almost unknown. This Unsolved Mystery article discusses the existing evidence and poses new avenues of research to answer this question.
Carvalho, Ana Luisa Fernandes, Dominique
Published in
PLoS Biology
This Primer explores the implications of a new study in PLOS Biology which reveals how homeostatic synaptic plasticity requires coordinated and inter-dependent protein synthesis and degradation, as well as remodeling of the miRNA-induced silencing complex.
Kessie, David Komla Rudel, Thomas
Published in
PLoS Biology
There is a need for better models to improve preclinical testing of vaccines. This Perspective article argues that advanced mucosal human tissue models could present a solution to this pressing problem in the future.
Hanamura, Kenji Washburn, Halley R. Sheffler-Collins, Sean I. Xia, Nan L. Henderson, Nathan Tillu, Dipti V. Hassler, Shayne Spellman, Daniel S. Zhang, Guoan Neubert, Thomas A.
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Published in
PLoS Biology
van der Plas, Mircea Braun, Verena Stauch, Benjamin Johannes Hanslmayr, Simon
Published in
PLoS biology
[This corrects the article DOI: 10.1371/journal.pbio.3001363.].
Miller, Matthew A. E. Shepherd, Keith D. Kisitu, Bruce Collinson, Jamie
Published in
PLoS Biology
Recent developments in remote sensing and machine learning have allowed African soil properties to be mapped at an unprecedented resolution of 30 m. iSDAsoil is an open access resource that will empower the community to embrace ’hyperlocal’ approaches such as field-level agronomy advice for smallholder farmers.
Miller, Asia K Westlake, Camille S Cross, Karissa L Leigh, Brittany A Bordenstein, Seth R
Published in
PLoS biology
Microbial symbiosis and speciation profoundly shape the composition of life's biodiversity. Despite the enormous contributions of these two fields to the foundations of modern biology, there is a vast and exciting frontier ahead for research, literature, and conferences to address the neglected prospects of merging their study. Here, we survey and ...
Antolin, Albert A Cascante, Marta
Published in
PLoS biology
Michaelis constants (Km) are essential to predict the catalytic rate of enzymes, but are not widely available. A new study in PLOS Biology uses artificial intelligence (AI) to accurately predict Km on a proteome-wide scale, paving the way for dynamic, genome-wide modeling of metabolism.
Yuan, Xin Sipe, Conor W. Suzawa, Miyuki Bland, Michelle L. Siegrist, Sarah E.
Published in
PLoS Biology
Bradbury, Jane
Published in
PLoS Biology