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Table of Contents

• ↓ Wastewater & Environmental Surveillance in Low-Resource Settings
• ↓ Speeding up taxonomy in the digital age: A deep learning approach for identifying cryptic freshwater snails
• ↓ Mechanochemical modeling of exercise-induced skeletal muscle hypertrophy
• ↓ De novo assembly and authentication of ancient DNA metagenomes with nf-core/mag
• ↓ Quartet: Disentangling positive and negative components of microbial interactions
• ↓ pyhgf: A neural network library for predictive coding
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"Check out a new Collection across several PLOS journals in partnership with the Gates Foundation, including a range of interdisciplinary research on the topic of Wastewater & Environmental Surveillance (WES) in Low-Resource Settings."

"Cryptic species complexes pose fundamental challenges to biologists, as species exhibit minimal morphological differences that require integrating morphology, genetics, and biogeography for identification. The authors present a deep learning approach to support species identification in the freshwater snail genus Radomaniola, a morphologically cryptic group from the Balkans."

"Skeletal muscle naturally adapts its size and strength in response to physical activity, a process that is essential for both athletic training and rehabilitation. However, predicting how a specific training routine will alter a muscle’s shape remains difficult. This is because muscle growth relies on a complex, multiscale chain of events, where physical forces from movements trigger chemical signals that slowly rebuild the tissue over time."

"The degraded nature of ancient DNA means that the standard techniques of genome assembly developed for modern DNA are unlikely to perform effectively, unless heavily modified. This hinders the incorporation of ancient data into broader metagenomic studies that would otherwise benefit from having deep time information on the evolution of different microbial species."

Key Topics & Focus Areas for ploscompbiol.org:

Wastewater & Environmental Surveillance in Low-Resource Settings

Speeding up taxonomy in the digital age: A deep learning approach for identifying cryptic freshwater snails

Mechanochemical modeling of exercise-induced skeletal muscle hypertrophy

De novo assembly and authentication of ancient DNA metagenomes with nf-core/mag

Quartet: Disentangling positive and negative components of microbial interactions

pyhgf: A neural network library for predictive coding