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Biology subjects

Vine, T.

Publications and source records attributed to Vine, T..

2 recordsLinked to original sources

Plant Cell Wall Enzymatic Deconstruction: Bridging the Gap Between Micro and Nano Scales

Understanding and overcoming the resistance of plant cell wall to enzymatic deconstruction is crucial to achieve a sustainable and economical conversion of plant biomass to bio-based products as alternatives to petroleum-based products. Despite the significant scientific advances over the past decades, the plant cell wall deconstruction at cell and tissue scales has remained under-investigated. In this study, to quantitatively characterize plant cell wall deconstruction, we set up an original imaging pipeline by combining time-lapse 4D (space + time) fluorescence confocal imaging, and a novel computational tool, to track and quantify cell wall deconstruction at cell and tissue scales offering a digital representation of cell wall deconstruction. Using this pipeline on poplar wood sections, we computed dynamics of several cellular parameters (e.g. cell wall volume, surface area, and number of cell neighbors) while measuring cellulose conversion. The results showed that the effect of enzymatic deconstruction at the cell scale is predominantly noticeable in terms of cell wall volume reduction rather than a significant decrease in surface area and accessible surface area. The results also revealed a negative correlation between pre-hydrolysis 3D cell wall compactness measures and volumetric cell wall deconstruction. The strength of this correlation was modulated by enzymatic activity. Combining cell wall compactness with the number of neighboring cells as a tissue-scale parameter yielded a stronger correlation. Our results also revealed a strong positive correlation between average volumetric cell wall deconstruction and cellulose conversion, thus establishing a link between key parameters and bridging the gap between nano and micro scales.

biochemistry↗

Confirming Multiplex Q-PCR Use in COVID-19 with Next Generation Sequencing: Strategies for Epidemiological Advantage

Rapid classification and tracking of emerging SARS-CoV-2 variants are critical for understanding the transmission dynamics and developing strategies for interrupting the transmission chain. Next-Generation Sequencing (NGS) is an exceptional tool for whole-genome analysis and deciphering new mutations. The technique has been instrumental in identifying the Variants of Concern and tracking this pandemic. However, NGS remains expensive and time-consuming for large-scale monitoring of COVID-19. This study analyzed a total of 78 de-identified samples that screened positive for SARS-CoV-2 from two timeframes, August 2020 and July 2021. All 78 samples were classified into WHO lineages by whole genome sequencing then compared with two commercially available Q-PCR assays for spike protein mutation(s). The data showed good concordance with Q-PCR and NGS analysis for specific SARS-COV-2 lineages and characteristic mutations. Deployment of Q-PCR testing to detect known SARS-COV-2 variants may be extremely beneficial. These assays are quick and cost-effective, thus can be implemented as an alternative to sequencing for screening known mutations of SARS-COV-2 for clinical and epidemiological interest. The findings support the great potential for Q-PCR to be an effective strategy offering several COVID-19 epidemiological advantages.

genomics↗