As research on microorganisms in extreme deep-sea environments advances, there is an urgent need for in-situ, highly sensitive detection technologies for their metabolites. However, the extreme conditions of the deep sea pose significant challenges to sensor pressure resistance, anti-interference capability, and operational compatibility. A sodium alginate fabric flexible surface-enhanced Raman scattering substrate decorated with silver nanoparticles (AgNPs-SA@Cloth) was fabricated by in-situ reduction of uniform AgNPswithin a 3-D hydrogel network, enabling sensitive Raman detection under high-salinity and high-pressure conditions. The alginate layer preserves SERS stability in 1 M CaCl2, at 10 MPa and over 35 days of storage, while the fabric scaffold provides bendability and on-site cut-and-replace compatibility with remotely operated vehicles (ROVs).The substrate was experimentally confirmed to detect 4-aminothiophenol (4-ATP) down to 1 × 10-12 M, with an enhancement factor (EF) of 4.25 × 1010. It also enables simultaneous identification of glutathione(GSH) and cytarabine in the presence of ten-fold competing species.After deployment and retrieval from 1000 m depth, the substrate remained intact and still detected 10-6 M metabolites without peak shift, confirming reliability under extreme conditions. This work overcomes the fragility of rigid chips and the aggregation of colloidal particles, extending flexible hydrogel SERS substrates to the deep ocean and offering a robust tool for in-situ tracking of microbial metabolites and efficient discovery of functional deep-sea molecules.
Tingting Zhao, Si-Yu Wang, Xin Zhang et al.· Talanta: The International J...· 0 citations
Alfalfa (Medicago sativa L.) yield is a complex quantitative trait shaped by multiple yield components and strong genotype-by-environment interactions. In this study, we combined multi-environment phenotyping with deep whole-genome resequencing to dissect the genetic architecture of six agronomic traits in 198 half-sib families. Field trials conducted across two contrasting locations over three years revealed extensive variation in plant height, stem diameter, stem number, fresh weight, dry weight, and leaf-to-stem ratio. Deep resequencing generated an average of 39.4 Gb clean data per accession, with an effective sequencing depth of 42.14×, and identified 10.37 million high-quality SNPs densely distributed across the alfalfa genome. Using multi-environment BLUP values for GWAS, we detected 1137 trait-associated SNPs and prioritized candidate genes by integrating variant effects, haplotype differentiation, functional annotation, and expression patterns. A non-synonymous SNP in MsBG42, encoding beta-glucosidase 42, was associated with stem diameter. For biomass-related traits, MsG0780040381.01, designated MsFBL, encodes an F-box/FBD/LRR-repeat protein and was associated with both fresh and dry weight, with root-preferential expression. Hairy root-based functional validation further showed that MsFBL positively regulates root and whole-plant biomass. These findings provide a high-resolution genomic resource and identify MsFBL as a functionally supported target for alfalfa biomass improvement.
Bao Ao, Yang-Yang Han, Pan Xu et al.· Horticulture Research· 0 citations
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