ABSTRACT
Water is crucial for human health, yet its microbial composition bears significant ecological and health implications. This research utilizes bibliographic methodology, amalgamating data from the Web of Science, and the VOSviewer software to scrutinize a selection of 1,000 seminal articles. It comprehensively delineates (1) the pivotal microorganisms prevailing in aquatic settings, (2) the intricate mechanisms through which microorganisms wield influence over water quality, and (3) the multifaceted repercussions on human health and well-being stemming from these microorganisms. Through this scholarly exploration, the paper illuminates the intricate interplay between water, microorganisms, and human health, providing valuable insights for policymakers, researchers, and health practitioners. Understanding these dynamics is of paramount importance for maintaining both the ecological balance of aquatic systems and safeguarding the health of communities reliant on these resources. This study thus contributes to a deeper comprehension of the intricate relationship between water quality, microorganisms, and human health.
HIGHLIGHTS
Innovative bibliographic approach.
Identification of key microorganisms.
Mechanistic insights.
Human health implications.
Policy and practical applications.
INTRODUCTION
Water is unequivocally a fundamental resource for human survival and well-being (Serwecińska 2020; Uddin et al. 2024). Beyond its vital role in quenching thirst and supporting various physiological functions, water also serves as an essential component of food production, sanitation, and hygiene (Bishoge 2021). However, the quality of water, particularly in terms of its microbial composition, has far-reaching implications for human health and the ecosystems in which it is found (Danielopol et al. 2003; Uddin et al. 2021). This paper embarks on a comprehensive exploration of the intricate relationship between water, microorganisms, human health, and the environment (Tao et al. 2012).
Microorganisms, including bacteria, viruses, algae, and protozoa, are ubiquitous inhabitants of water bodies, ranging from oceans and rivers to lakes and groundwater (Jacquet et al. 2010). While many of these microorganisms are harmless, others can be pathogenic, causing a wide range of waterborne diseases (Leclerc et al. 2002). Moreover, microorganisms in water can significantly influence the overall quality and safety of this precious resource (Naidoo & Olaniran 2014). Therefore, understanding the microbial composition of water and its consequences for both human health and ecosystems is of paramount importance (Sentenac et al. 2022).
The present research takes a bibliographic approach to this complex issue, aiming to provide a holistic perspective by amalgamating data from the Web of Science and the VOSviewer software. By scrutinizing a carefully selected set of 1,000 articles, we delve into three crucial aspects:
(1) Pivotal microorganisms in aquatic settings: A foundational aspect of our study is the identification and characterization of the key microorganisms found in aquatic environments. These microorganisms play a pivotal role in shaping the ecological dynamics of aquatic systems. They are instrumental in nutrient cycling, the decomposition of organic matter, and the overall stability of these ecosystems. Understanding the diversity and functions of these microorganisms is essential for comprehending the intricate web of life in aquatic settings.
(2) Mechanisms of microbial influence on water quality: Microorganisms in water have a profound impact on its quality. Their metabolic activities can either improve or degrade water quality. For instance, certain microorganisms can aid in the removal of pollutants through biodegradation processes, thus contributing to water purification. Conversely, some microorganisms can lead to water contamination by releasing harmful toxins or promoting the growth of harmful algal blooms. A detailed examination of the mechanisms through which microorganisms influence water quality is crucial for effective water resource management.
(3) Repercussions on human health and well-being: Water is a direct route for microorganisms to interact with the human population. Contaminated water can serve as a pathway for waterborne diseases, such as cholera, dysentery, and various gastrointestinal infections. In addition to causing acute illnesses, microorganisms in water can have long-term health effects, such as exposure to carcinogenic compounds produced by certain microbial species. Furthermore, the quality of drinking water can influence the overall well-being of communities, particularly those in resource-limited regions where access to clean water is a challenge. Investigating the multifaceted repercussions of waterborne microorganisms on human health and well-being is a critical component of this research.
The interplay between water, microorganisms, human health, and the environment is complex and multifaceted. The objective of this study is to unravel this complexity by employing a bibliographic approach to identify and analyze the most significant articles exploring the relationship between water quality, microorganisms, and human health. By examining these relationships and discussing the most important microorganisms, the study provides valuable insights that can inform policy decisions, guide further research, and assist health practitioners in managing and safeguarding this crucial resource. As we delve deeper into this subject, we contribute to a broader understanding of the intricate connections between water quality, microorganisms, and human health.
METHOD
Data collection and retrieval
The bibliographic analysis methodology employed in this study builds upon established approaches (Chen & Ding 2023a, b, c) with slight modifications to comprehensively investigate the microbial composition of water and its implications for human health and ecosystems. The research commenced by accessing the Clarivate Web of Science database, a widely recognized repository of academic publications, to ensure reliability and accuracy. The protocol involved a systematic two-step process:
Database query: To initiate our exploration, we conducted a targeted search using the keyword ‘water microbiology’. This deliberate query aimed to retrieve a substantial and diverse dataset of academic publications relevant to the study of microorganisms in water, encompassing various associated topics. The search resulted in a comprehensive collection of 42,762 records from across all time periods, providing the foundation for our in-depth analysis.
Data export: Following the database query, we extracted a selection of the top 1,000 full articles related to the keyword, as defined by the default sorting order of the Web of Science. These records were exported in a plain text file format, ensuring unfettered access to the complete body of literature essential for conducting a thorough and nuanced analysis. This meticulous approach allowed us to delve into the intricacies of water microbiology, laying the groundwork for insightful conclusions and contributions to the existing body of knowledge.
Data analysis and processing
Upon obtaining the extensive dataset, we undertook a series of analyses to glean insights and trends within the field of water microbiology, with a particular focus on co-occurrence patterns, co-authorship networks, and affiliations. These analyses were executed using the VOSviewer software, a powerful tool for bibliographic analysis. The following steps outline our approach:
(1) Co-occurrence analysis: We selected a ‘co-occurrence and keywords’ analysis within the VOSviewer software to identify the most prevalent keywords in the retrieved literature. To ensure that the selected keywords were highly representative of the research landscape, we set a criterion of a ‘minimum number of occurrences of a keyword’ to be no less than 10 occurrences.
(2) Co-authorship and country analysis: In addition to keyword analysis, we delved into the collaborative aspects of the research domain. This was achieved through a ‘co-authorship and countries’ analysis, where we aimed to identify key countries involved in water microbiology research. We set a threshold of ‘minimum number of documents of a country’ to be at least five documents, ensuring the inclusion of major contributors in this field.
(3) Co-authorship and organization analysis: Furthermore, we conducted an analysis of ‘co-authorship and organizations’ to identify prominent institutions and organizations involved in water microbiology research. We applied a minimum threshold of ‘2 documents of an organization’ to capture the entities with significant contributions.
By employing these bibliographic analyses, we sought to gain a holistic understanding of the state of research, the major players, and the overarching themes within the realm of water microbiology. This methodology allowed us to explore and synthesize a broad range of literature, enabling a comprehensive investigation into pivotal microorganisms, mechanisms influencing water quality, and the far-reaching consequences on human health and well-being. The systematic and data-driven approach undertaken in this research provides a rigorous foundation for our subsequent findings and conclusions.
RESULTS
Thematic keyword clusters unveiled. VOSviewer identifies thematic clusters through the analysis of keyword co-occurrence. The colors represent distinct thematic groups formed by frequently associated keywords.
Thematic keyword clusters unveiled. VOSviewer identifies thematic clusters through the analysis of keyword co-occurrence. The colors represent distinct thematic groups formed by frequently associated keywords.
Collaboration networks, pinpointing thematic clusters among organizations. The colors within these networks signify diverse collaborative clusters among connected institutions.
Collaboration networks, pinpointing thematic clusters among organizations. The colors within these networks signify diverse collaborative clusters among connected institutions.
Collaborative network analysis to identify thematic clusters among different countries and regions. The colors in these networks signify diverse collaborative clusters connecting different countries and regions.
Collaborative network analysis to identify thematic clusters among different countries and regions. The colors in these networks signify diverse collaborative clusters connecting different countries and regions.
DISCUSSION
Microbial diversity in water environments: an overview
In the expansive realms of rivers, lakes, and seas, thriving within aqueous landscapes, highly diverse and intricate microbial communities form a rich tapestry (Roth Rosenberg et al. 2021). This intricate tapestry comprises an extensive array of various microorganisms, each playing a unique and vital role in shaping the dynamic ecosystems of aquatic environments (Lauro et al. 2009). From the flowing waters of rivers to the vast expanses of lakes and the boundless depths of seas, these microbial communities contribute significantly to the complex web of life that defines the aquatic realm (Karl 2007). This paper discusses main categories such as bacteria, fungi, protozoa, and viruses (Ashbolt 2015).
(1) Bacteria
Table 1 shows a compilation showcasing key bacteria and their respective roles in the field of water microbiology. In the intricate ecosystems of aquatic environments, a diverse array of bacteria, encompassing notable species such as P. aeruginosa, S. aureus, E. coli, Shewanella oneidensis, Bacillus halodurans, and Comamonas testosteroni, thrive. These bacteria coexist within water bodies, forming a dynamic microbial community that extends beyond its ecological implications to potentially pose challenges to environmental integrity and public health. Shewanella oneidensis, with its unique characteristics and significant role in microbial communities, particularly stands out amidst this rich bacterial tapestry. P. aeruginosa, S. aureus, and E. coli, well-known bacterial species, contribute to the intricate dynamics of aquatic environments. Their presence, alongside Shewanella oneidensis, underscores the multifaceted interactions and dependencies within water bodies. Legionella pneumophila is closely linked to water quality and human health, as poor water quality can facilitate bacterial proliferation and increase the risk of Legionellosis, a serious respiratory illness. B. halodurans, known for its adaptability to saline environments, and C. testosteroni, distinguished by its diverse metabolic capabilities, further enrich the microbial landscape within aquatic ecosystems. This diverse congregation of bacteria not only contributes to the complexity of microbial interactions in water bodies but also represents a potential reservoir of waterborne pathogens. The implications of such microbial diversity extend beyond environmental considerations to public health concerns. The inclusion of these bacteria in the discussion emphasizes the need for comprehensive studies to unravel the intricate dynamics at play within aquatic ecosystems. Assessing the potential impact of this diverse microbial community becomes imperative to safeguard environmental integrity and ensure the well-being of human populations that rely on these vital water resources. As we delve deeper into the complexities of microbial diversity in aquatic environments, the interconnected roles of P. aeruginosa, S. aureus, E. coli, Shewanella oneidensis, B. halodurans, and C. testosteroni highlight the importance of a holistic approach in understanding and managing the intricate web of life within water bodies.
A compilation showcasing key bacteria and their respective roles in the field of water microbiology
Bacteria species . | Main findings . | References . |
---|---|---|
P. aeruginosa | P. aeruginosa, a prevalent bacterium in water, plays a significant role in aquatic ecosystems and can have implications for both environmental health and public well-being. | Mena & Gerba (2009) and Serwecińska (2020) |
S. aureus | S. aureus, a bacteria commonly found in water environments, poses potential risks to both aquatic ecosystems and human health, emphasizing the need for comprehensive water quality assessments. | Harris et al. (2012) and Amarasiri et al. (2020) |
E. coli | E. coli, commonly found in water, serves as an indicator of water quality due to its association with fecal contamination and requires removal through human technology. | Hamdany et al. (2021) |
Shewanella oneidensis | The presence of Shewanella oneidensis in water contributes to the reduction of heavy metals, such as Cr(VI). | Ding et al. (2014) |
B. halodurans | In aquatic environments, B. halodurans can fulfill diverse roles, including functions such as repairing cracks in cement. | Zhang et al. (2019) |
L. pneumophila | The relationship between L. pneumophila and water quality is crucial for accurate detection, as water quality variables like total organic carbon and heterotrophic bacteria significantly impact the performance of detection methods. | Donohue et al. (2023) |
C. testosteroni | In water environments, C. testosteroni may play a role in the biofilm-based biodegradation process of 3-chloroaniline. | Wu et al. (2015) |
Bacteria species . | Main findings . | References . |
---|---|---|
P. aeruginosa | P. aeruginosa, a prevalent bacterium in water, plays a significant role in aquatic ecosystems and can have implications for both environmental health and public well-being. | Mena & Gerba (2009) and Serwecińska (2020) |
S. aureus | S. aureus, a bacteria commonly found in water environments, poses potential risks to both aquatic ecosystems and human health, emphasizing the need for comprehensive water quality assessments. | Harris et al. (2012) and Amarasiri et al. (2020) |
E. coli | E. coli, commonly found in water, serves as an indicator of water quality due to its association with fecal contamination and requires removal through human technology. | Hamdany et al. (2021) |
Shewanella oneidensis | The presence of Shewanella oneidensis in water contributes to the reduction of heavy metals, such as Cr(VI). | Ding et al. (2014) |
B. halodurans | In aquatic environments, B. halodurans can fulfill diverse roles, including functions such as repairing cracks in cement. | Zhang et al. (2019) |
L. pneumophila | The relationship between L. pneumophila and water quality is crucial for accurate detection, as water quality variables like total organic carbon and heterotrophic bacteria significantly impact the performance of detection methods. | Donohue et al. (2023) |
C. testosteroni | In water environments, C. testosteroni may play a role in the biofilm-based biodegradation process of 3-chloroaniline. | Wu et al. (2015) |
(2) Fungi
Among the diverse inhabitants of water bodies, an array of fungi establishes its presence, with notable examples including water molds and blue-green molds (Zaghloul et al. 2020). These fungi play a crucial and multifaceted role in the intricate processes of decomposing organic matter within aquatic environments (Grossart et al. 2019). The intricate hyphal networks of water molds, for instance, facilitate the breakdown of complex organic compounds, contributing to nutrient cycling and promoting the recycling of essential elements (Guhra et al. 2022). Similarly, blue-green molds, known for their diverse enzymatic capabilities, engage in the degradation of organic materials, further influencing the dynamics of nutrient availability (Alegbeleye et al. 2022).
The involvement of these fungal organisms extends beyond mere decomposition; their activities actively contribute to the maintenance of the delicate ecological balance inherent in aquatic ecosystems (Bull et al. 2000). By participating in the breakdown of organic matter, fungi release nutrients back into the water, fostering a nutrient-rich environment that supports the growth of other aquatic organisms (Knicker 2004). Additionally, the interactions between fungi and other microorganisms contribute to the overall biodiversity and stability of aquatic ecosystems (Ratzke et al. 2020).
In recognizing the multifaceted contributions of water molds and blue-green molds, it becomes evident that these fungi are integral components of the intricate web of life within water bodies (Corning 1995). Their ecological roles extend beyond decomposition, shaping the nutrient cycling, biodiversity, and overall health of aquatic environments (Benbow et al. 2019). The intricate dance of these fungal organisms underscores the interconnected nature of life in water bodies and emphasizes the importance of studying their contributions for a comprehensive understanding of aquatic ecosystems (Celermajer et al. 2020).
(3) Protozoa
At the heart of the intricate aquatic food chain lies the crucial presence of protozoa and microzooplankton, two groups of microorganisms whose roles extend far beyond their microscopic size (Kazmi et al. 2022). These organisms, though often overlooked, play a pivotal role in the dynamic tapestry of aquatic ecosystems, contributing to the delicate balance that defines the interactions and dependencies within the broader microbial community (Celermajer et al. 2020).
Protozoa, unicellular eukaryotic organisms, and microzooplankton, tiny zooplankton comprising various microscopic animals, collectively constitute a vital link in the food web. Their activities encompass predation of bacteria, algae, and other small organisms, thereby influencing the abundance and distribution of these microorganisms. This predation not only regulates population dynamics within the microbial community but also has cascading effects on higher trophic levels, including small fish and other invertebrates (Polazzo et al. 2022).
Moreover, the nutrient cycling facilitated by protozoa and microzooplankton is indispensable for maintaining the health and productivity of aquatic ecosystems. Through their feeding activities, these microorganisms release essential nutrients back into the water, contributing to the availability of nutrients for primary producers like algae. This, in turn, influences the entire food web, shaping the distribution and abundance of organisms at various trophic levels (Zhu et al. 2023).
The intricate dynamics established by protozoa and microzooplankton extend beyond their immediate ecological functions. Their interactions with other microorganisms, including bacteria and phytoplankton, create a web of dependencies that further shape the overall structure and resilience of aquatic ecosystems. Understanding the multifaceted roles of protozoa and microzooplankton is not only key to comprehending the complexities within these ecosystems but also underscores their significance in sustaining the overall health and functionality of aquatic environments (Sweat et al. 2021).
(4) Viruses
In the vast expanse of aquatic environments, the notable presence of waterborne viruses adds an additional layer of complexity to the intricate web of microbial interactions (Garner et al. 2021). These viruses, though microscopic in size, wield significant influence due to their potential to exert diverse effects on both aquatic organisms and human health (Zhang et al. 2022). The dynamic nature of these interactions underscores the multifaceted role that waterborne viruses play in shaping the delicate balance within water bodies (Thakur & Kumar 2023).
Waterborne viruses, often originating from various sources such as human and animal waste, agricultural runoff, or other contaminated sources, can affect the health and vitality of aquatic ecosystems. Their impact on aquatic organisms ranges from altering the behavior and physiology of microorganisms to influencing the health of fish and other aquatic life forms. The intricate relationships between viruses and their host organisms contribute to the overall biodiversity and stability of the aquatic environment (Harrison et al. 2019).
Furthermore, the potential transmission of waterborne viruses to humans through contaminated water sources emphasizes the interconnectedness of aquatic ecosystems with public health. Contaminated water can serve as a pathway for the spread of waterborne diseases, highlighting the importance of understanding the dynamics of viral presence in water bodies. The complex interplay between waterborne viruses, aquatic organisms, and human health necessitates a comprehensive approach to studying and monitoring these interactions (Huang et al. 2023).
As we delve deeper into the intricacies of waterborne viruses within aquatic environments, it becomes apparent that their presence is not merely a biological phenomenon but a critical factor in the broader ecological and public health context. Research endeavors aimed at elucidating the mechanisms of viral influence and developing strategies for mitigating potential risks are imperative for safeguarding the integrity of aquatic ecosystems and ensuring the well-being of human populations that rely on these vital water resources (Wikumpriya et al. 2023).
Beyond boundaries: big data and machine learning reshaping water microbiology
In the contemporary landscape, the rapid and remarkable evolution of big data and machine learning has transcended technological boundaries. Their applications have permeated diverse domains, spanning from the revolutionary implementation of autonomous driving technology to the sophisticated prediction of biological species distribution (Chen & Ding 2022) and the nuanced assessment of educational outcomes (Chen & Ding 2023a, b, c). As we gaze into the future, it becomes increasingly conceivable that the intricate field of water microbiology could reap substantial benefits from the seamless integration of big data and machine learning (Wheatley et al. 2020).
A compelling application of this integration revolves around the creation of an extensive database, a repository of knowledge encapsulating information about the types and concentrations of microorganisms thriving in water bodies globally. Expanding its scope, this comprehensive database could also incorporate data on the concentrations of pollutants, including hazardous heavy metals known to pose severe threats to human health. This expansive dataset forms the foundation for the development of a sophisticated machine-learning model, a complex black-box system adept at predicting the timing and locations of potential water pollution outbreaks (Deng et al. 2021).
The potential of this predictive model for the field of water microbiology is immense, offering policy makers and researchers an unprecedented ability to anticipate and prepare for pollution outbreaks with unparalleled accuracy. Armed with this invaluable information, policy makers can strategically plan and execute targeted preventive measures, thereby safeguarding human life and well-being. The integration of big data and machine learning into water microbiology not only presents an innovative and forward-thinking approach to pollution prevention but also underscores the pivotal role of proactive strategies in environmental protection and public health (Prescott et al. 2021).
Envisioning the future of water microbiology, we see a harmonious synergy between cutting-edge technologies and the intricate dynamics of microbial ecosystems. By harnessing the power of big data and machine learning, we stand at the cusp of a new era marked by precision in predicting, preventing, and mitigating waterborne health threats. This visionary integration holds the promise of contributing to a safer and more sustainable coexistence between humanity and the aquatic environment, underlining the transformative potential of scientific advancements in shaping the future of water research and management (Herrfahrdt-Pähle et al. 2020).
CONCLUSION
Based on the bibliographic method, this study delves into the diverse microbial communities thriving in aquatic environments, creating a rich tapestry that shapes the dynamic ecosystems of rivers, lakes, and seas. Examining bacteria, fungi, protozoa, and viruses, the research highlights their intricate roles and potential implications for environmental and public health. Notable bacterial species like P. aeruginosa, S. aureus, E. coli, Shewanella oneidensis, B. halodurans, L. pneumophila, and C. testosteroni are explored, emphasizing the complex microbial interactions within water bodies. Fungi, protozoa, and microzooplankton contribute to the delicate ecological balance, influencing nutrient cycling and the overall dynamics of aquatic ecosystems. The study acknowledges the complexity introduced by waterborne viruses, impacting both aquatic organisms and human health. Looking ahead, the integration of big data and machine learning emerges as a transformative avenue, promising precise anticipation and the prevention of water pollution outbreaks. Overall, this research provides crucial insights for policymakers and researchers, emphasizing the intricate relationship between water quality, microorganisms, and human health in aquatic environments.
DATA AVAILABILITY STATEMENT
All relevant data are included in the paper or its Supplementary Information.
CONFLICT OF INTEREST
The authors declare there is no conflict.