Bacterial Mediation of Environmental Impacts: Unveiling novel pathways for mitigation and stewardship

سال انتشار: 1402
نوع سند: مقاله ژورنالی
زبان: انگلیسی
مشاهده: 201

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شناسه ملی سند علمی:

JR_CJES-21-5_017

تاریخ نمایه سازی: 31 خرداد 1403

چکیده مقاله:

The interplay between bacteriology and environmental impacts forms a dynamic nexus with far-reaching implications for the health of ecosystems and human societies. This paper embarks on an exploration of previously uncharted territories within this intersection, aiming to uncover novel insights and strategies for addressing pressing environmental challenges. Our research seeks to elucidate the multifaceted roles of bacteria in shaping and responding to environmental impacts, ultimately advancing the field with innovative approaches. In this comprehensive endeavour, we traverse several frontiers: Our study delves into the intricate relationships between bacterial communities and biogeochemical cycles, shedding light on previously unrecognized pathways of nutrient transformation and greenhouse gas dynamics. By analysing metagenomic data from diverse environments, we unveil novel bacterial taxa and functional genes that play pivotal roles in driving biogeochemical processes, thus expanding the boundaries of our understanding. Building upon conventional wastewater treatment practices, we introduce groundbreaking biotechnological interventions that harness the metabolic capabilities of bacteria to remove emerging contaminants, pharmaceuticals, and recalcitrant pollutants. Novel bacterial strains and biofilm-based bioreactors demonstrate unparalleled efficiency in detoxifying wastewater effluents, offering sustainable solutions for environmental remediation. By climate change as a defining challenge of our era, our research pioneers the investigation of microbial communities' responses to environmental stressors. Through meta-transcriptomic analysis, we uncover unique microbial strategies for carbon sequestration and adaptation, providing a blueprint for enhancing ecosystem resilience in a changing climate. The ever-evolving threat of antibiotic resistance extends into the environment, creating an urgent need to address this crisis. Our study uncovers hitherto unexplored environmental reservoirs of antibiotic resistance genes, highlighting their potential as early warning systems for emerging resistance threats and novel avenues for intervention. We introduce a novel approach that employs shifts in bacterial communities as sentinel indicators of environmental health and stress. By monitoring the microbiome dynamics in ecosystems impacted by anthropogenic activities, we identify early warning signals for environmental perturbations, empowering targeted conservation efforts. This study transcends the boundaries of traditional bacteriology by showcasing the pivotal role of bacteria in mitigating environmental impacts. Our findings not only underscore the novelty of bacterial contributions to environmental processes, but also present actionable strategies for sustainable stewardship. In an era marked by environmental challenges of unprecedented scale, this research charts a pioneering course towards harnessing the untapped potential of bacteriology for a healthier planet.

نویسندگان

Seilkhan Ainur

Abai University, Dostyk ۱۳, Medeu district, Baisheva ۲۸, Almaty, Kazakhstan

Raiymbekova Indira

Abai University, Dostyk ۱۳, Medeu district, Baisheva ۲۸, Almaty, Kazakhstan

Zhunissov Abaibek

Korkyt Ata University, Aiteke bi ۲۹A, Kyzylorda, Kazakhstan

Zhamanbayeva Manira Krykbaevna

D. Serikbayev East Kazakhstan Technical University, Serikbayev Street, ۱۹. Ust-Kamenogorsk, Republic of Kazakhstan

Bukunova Almira Shoshanovna

D. Serikbayev East Kazakhstan Technical University, Serikbayev Street, ۱۹. Ust-Kamenogorsk, Republic of Kazakhstan

Toktaganova Gulzhas

Korkyt Ata University, Aiteke bi ۲۹A, Kyzylorda, Kazakhstan

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  • Girona, MM, Aakala, T, Aquilué, N, Bélisle, AC, Chaste, E, ...
  • Hegazy, D, Abotalib, AZ, El Bastaweesy, M, El Said, MA, ...
  • Islam, T, Repon, MR, Islam, T, Sarwar, Z & Rahman, ...
  • Jacobs, J, Hardy, L, Semret, M, Lunguya, O, Phe, T, ...
  • Javidan, P, Baghdadi, M, Torabian, A & Goharrizi, BA ۲۰۲۲, ...
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  • Mustapa, I, Sumarmo, S, Setiawan, B, & Pramoedyo, H ۲۰۲۲, ...
  • Qian, J, Cao, Y, Bi, Y, Wu, H, Liu, Y, ...
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