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Biology subjects

Ibrahim, G.

Publications and source records attributed to Ibrahim, G..

2 recordsLinked to original sources

Genomic and physiological characterization of 'Candidatus Methylocystis sumavensis', a novel acid-tolerant methanotroph from peatland

Methanotrophic bacteria in peatlands mitigate emissions of methane (CH4), a potent greenhouse gas, yet the mechanisms enabling them to remain active under the acidic conditions typical of many peatlands remain poorly understood. Using enrichment cultivation and single-cell sorting, we isolated a novel peatland methanotroph from Czech soil, Methylocystis sumavensis. This species is moderately acidotolerant and active across broad pH and temperature ranges, with growth optima at pH 6.8 and 24-37 {degrees}C. The genome of M. sumavensis encodes two particulate methane monooxygenase isozymes, a clade I nitrous oxide reductase, multiple terminal oxidases, and two [NiFe]-hydrogenases, including a complete complex of the previously uncharacterised membrane-bound hydrogenase group 4f, indicating substantial metabolic versatility. To link genomic potential with physiological function, we compared transcriptomes under acidic (pH 5.0) and alkaline (pH 9.0) conditions relative to the optimum pH (6.8). Under both stresses, M. sumavensis increased transcription of genes involved in membrane remodelling, ion transport across both membranes, and stress response and repair, while reducing transcription of genes associated with methane oxidation and cell division. Alkaline stress additionally suppressed growth through reduced transcription of the carbon-assimilating Serine cycle. In contrast, acidic stress triggered a coordinated response requiring greater energetic investment. Among the most strongly upregulated genes were those encoding two formate dehydrogenases, the branched-chain alpha-keto-acid dehydrogenase complex, and all seven group 4f [NiFe]-hydrogenase-related genes, suggesting enhanced respiratory redox balancing under elevated external proton concentrations. These results reveal key mechanisms of pH-stress adaptation and highlight metabolic plasticity as a major determinant of methanotroph resilience in ecosystems.

microbiology↗

Dissociable default-mode subnetworks subserve childhood attention and cognitive flexibility: evidence from deep learning and stereotaxic electroencephalography

BackgroundCognitive flexibility encompasses the ability to efficiently shift focus and forms a critical component of goal-directed attention. The neural substrates of this process are incompletely understood in part due to difficulties in sampling the involved circuitry. MethodsStereotactic intracranial recordings that permit direct resolution of local-field potentials from otherwise inaccessible structures were employed to study moment-to-moment attentional activity in children with epilepsy during the performance of an attentional set-shifting task. A combined deep learning and model-agnostic feature explanation approach was used to analyze these data and decode attentionally-relevant neural features. Connectomic profiling of highly predictive attentional nodes was further employed to examine task-related engagement of large-scale functional networks. ResultsThrough this approach, we show that beta/gamma power within executive control, salience, and default mode networks accurately predicts single-trial attentional performance. Connectomic profiling reveals that key attentional nodes exclusively recruit dorsal default mode subsystems during attentional shifts. ConclusionsThe identification of distinct substreams within the default mode system supports a key role for this network in cognitive flexibility and attention in children. Furthermore, convergence of our results onto consistent functional networks despite significant inter-subject variability in electrode implantations supports a broader role for deep learning applied to intracranial electrodes in the study of human attention. FundingNo funds supported this specific investigation. Awards and grants supporting authors include: Canadian Institutes of Health Research (CIHR) Vanier Scholarship (NMW, HY); CIHR Frederick Banting and Charles Best Canada Graduate Scholarship Doctoral Award (SMW); CIHR Canada Graduate Scholarship Masters Award (ONA); and a CIHR project grant (GMI).

neuroscience↗