The hydrocarbon pollution crisis: Harnessing the earth hydrocarbon-degrading microbiome

IF 5.7 2区 生物学
Robert Duran, Cristiana Cravo-Laureau
{"title":"The hydrocarbon pollution crisis: Harnessing the earth hydrocarbon-degrading microbiome","authors":"Robert Duran,&nbsp;Cristiana Cravo-Laureau","doi":"10.1111/1751-7915.14526","DOIUrl":null,"url":null,"abstract":"<p>As part of the battle against climate change, the decarbonization of human activities has been acted in many countries worldwide. Thus, in order to limit the planet warming, it is expected to reduce the combustion of fossil fuels for decreasing drastically the production of greenhouse gas emissions. Although beneficial for reducing carbon dioxide (CO<sub>2</sub>) production to fight against climate change, this countermeasure unfortunately does not mean that hydrocarbon pollution is behind us because hydrocarbon pollution has many sources (Duran &amp; Cravo-Laureau, <span>2016</span>) that will remain. It is estimated that the industrial and petroleum activities, which have already left behind a multitude of hydrocarbon-contaminated sites that still need to be restored, release accidentally between 1.7 and 8.8 million tonnes of oil into the environment each year (Ambaye et al., <span>2022</span>). The decarbonization is also expected to have a beneficial impact on decreasing the industrial release of hydrocarbons into the environment by reducing oil spill frequency and consequences (Little et al., <span>2021</span>). In addition to the direct contribution of hydrocarbons resulting from the continued use of fossil fuels, the human activities also generate indirect inputs such as wildfires introducing polycyclic aromatic hydrocarbon (PAH) into the environment (Campos et al., <span>2019</span>; Paul et al., <span>2023</span>). Particularly “mega fires,” which burn large forest areas, are becoming more frequent as a consequence of climate change (Bracewell et al., <span>2023</span>; van Oldenborgh et al., <span>2021</span>). Of course, the natural sources of hydrocarbon contamination, such as volcanic activities and marine oil seeps, as well as biogenic sources (Duran &amp; Cravo-Laureau, <span>2016</span>), continuously emit hydrocarbons into the environment. Thus, hydrocarbons last to be of concern for the environment in the future. In order to mitigate the impact of hydrocarbons on the environment, exploiting the hydrocarbon degradation potential that microorganisms have is a challenge to meet for scientists and engineers concerned about hydrocarbon pollution.</p><p>Important key knowledge has been gained on microbial hydrocarbon degradation as well as on the ecology of microbial communities inhabiting hydrocarbon-contaminated sites. The hydrocarbon degradation capacity has been described for a large number of microorganisms from diverse terrestrial and aquatic environments. Several specialist hydrocarbon-degrading microbial taxa have been described and isolated, as for example, the marine obligate hydrocarbonoclastic bacteria (OHCB) observed to bloom during marine oil spills (Yakimov et al., <span>2007</span>), hydrocarbon-tolerant fungi found in petroleum-contaminated sediment (Álvarez-Barragán et al., <span>2021</span>), and alkane-degrading specialist populations in soil (Hamamura et al., <span>2013</span>). The characterization of specialist hydrocarbon-degrading microbial taxa has unveiled the degradation pathways, both aerobic and anaerobic, for a wide range of hydrocarbon compounds from alkanes to PAHs (Chunyan et al., <span>2023</span>). While gaining knowledge, various bioremediation strategies have been proposed to mitigate the impact of hydrocarbon in contaminated sites (Goñi-Urriza et al., <span>2013</span>). However, the different existing bioremediation processes for the in situ treatment of hydrocarbon-contaminated sites have to content several technical, environmental, and regulatory hurdles before reaching optimal efficiency and societal acceptability (Boopathy, <span>2000</span>). Particularly, the release of microorganisms, genetically modified or not, into the environment following a bio-augmentation approach is controversial at both technical and ethical point of views (Lensch et al., <span>2024</span>). Apart from the regulatory and ethical issues associated with the use of microorganisms for in situ bioremediation, which are not addressed here, there is no clear evidence that the added microorganisms colonize the contaminated site and effectively degrade the hydrocarbons (Wu et al., <span>2019</span>). The difficulty for the added microorganisms to incorporate well-established microbial community, known as colonization resistance in ecological theory, depends on several factors controlling the microbial community mixing, i.e., microbial community coalescence (Châtillon, Duran, et al., <span>2023</span>; Rillig et al., <span>2015</span>). These factors include the microbial communities legacy based on the history of contamination (Hafez et al., <span>2022</span>), the size of the added community (Rillig et al., <span>2015</span>), and priority effects (Tucker &amp; Fukami, <span>2014</span>). Nevertheless, the current knowledge on hydrocarbon microbial ecology provides crucial information opening the way for the implementation of bioremediation processes based on synthetic biology approaches (de Lorenzo, <span>2008</span>).</p><p>The ecology of microbial communities living in hydrocarbon-contaminated sites has been conceptualized on the basis of experimental and in situ observations. According to the disturbance theory (Allison &amp; Martiny, <span>2008</span>), the resistance, resilience, and functional redundancy of microbial communities in response to hydrocarbon contamination have been illustrated in several studies (Châtillon, Cébron, et al., <span>2023</span>; Chronopoulou et al., <span>2013</span>; Stauffert et al., <span>2014</span>; Zerebecki et al., <span>2022</span>). However, the microbial communities have been shown extremely dynamic and interactive in response to hydrocarbon contamination (Head et al., <span>2006</span>; McGenity et al., <span>2012</span>), requiring to switch beyond the concepts of resistance, resilience, and redundancy in order to better understand the structure or function relationships (Bissett et al., <span>2013</span>). The ecological succession, microbial taxa replacement over time, has been observed in many cases after hydrocarbon contamination experimentally (Bordenave, Fourçans, et al., <span>2004</span>; Bordenave, Jézéquel, et al., <span>2004</span>; Cerqueda-García et al., <span>2020</span>) and in situ after an oil spill (Kimes et al., <span>2014</span>; Péquin et al., <span>2022</span>). Such ecological succession relies on the fact that hydrocarbon degradation is effected by a consortium of microorganisms, not all of which are directly involved in the degradation process. The microbial interactions have an extremely important ecological role in hydrocarbon degradation; hydrocarbon consumers receiving beneficial products (vitamins, EPS, metals, etc.) from associated microbes in return for their detoxifying activity (Louati et al., <span>2013</span>; McGenity, <span>2014</span>); even some associated microbes can also provide biosurfactants increasing hydrocarbon bioavailability that facilitates their degradation (Brito et al., <span>2009</span>; McKew et al., <span>2007</span>; Schweitzer et al., <span>2022</span>). The microbial interactions also involve co-metabolism and synergistic processes in which the degradation of hydrocarbons is enhanced by the use of a co-substrate (Chen &amp; Aitken, <span>1999</span>; García-Rivero &amp; Peralta-Pérez, <span>2008</span>) or terminal electron acceptors (oxygen, nitrogen, sulphur) produced by other (micro) organisms (McGenity, <span>2014</span>). Also, the microbial interactions allow microorganisms to colonize novel niches as illustrated by the inter-kingdom interaction between fungi and bacteria (Álvarez-Barragán et al., <span>2022</span>), in which bacteria use the hyphosphere as ‘fungal highway’ for dispersal (Álvarez-Barragán et al., <span>2023</span>). Understanding the network of processes within microbial assemblages and the underlying mechanisms from which they arise is of paramount importance to achieve efficient bioremediation practices for oil-polluted sites. It is accepted that trade-offs drive microbial assemblages (Østman et al., <span>2014</span>), particularly niche specialization has been recognized as key process in hydrocarbon degradation, each degradation step being performed by different microbial functional groups (Dalby et al., <span>2008</span>). The establishment of ecotypes, step in niche specialization (Gushgari-Doyle et al., <span>2022</span>), has been demonstrated by the emergence of ecotypes adapted to either hydrocarbon structure (Kleindienst et al., <span>2015</span>; McKew et al., <span>2007</span>), temperature (Bargiela et al., <span>2015</span>) or oxygen conditions (Terrisse et al., <span>2017</span>). The genomic evolution conducting to niche specialization involves several adaptation mechanisms such as switch of integron gene cassettes (Abella et al., <span>2015</span>; Huang et al., <span>2009</span>) and horizontal gene transfer (Shahi et al., <span>2017</span>); mechanisms that have been proposed to spread key degradation genes to harness microbial communities for hydrocarbon degradation in a synthetic biology approach (French et al., <span>2020</span>).</p><p>In recent years, the concept of synthetic biology has been extended to microbial community (Borchert et al., <span>2021</span>; De Roy et al., <span>2014</span>) and even to the ecosystem (Hammond et al., <span>2023</span>). The design of engineered microbial community, crucial step in the synthetic biology approaches, relies on microbial ecology principles and rules governing microbial assemblage processes such as community coalescence, habitat filtering, taxa replacement and turnover, and priority effects (Bernstein, <span>2019</span>) for improving not only the biodegradation capacity but also favouring the colonization (Rocca et al., <span>2021</span>; Ruan et al., <span>2024</span>). Several strategies have been proposed to design synthetic microbial communities (SynComs) either by enrichment techniques resulting in simplified communities, defined as top-down approaches, or reconstruction of microbial consortia by assembling bacterial strains, known as bottom-up approaches (Bernstein, <span>2019</span>; De Roy et al., <span>2014</span>; Hu et al., <span>2022</span>). Anent the top-down approach, the current momentum for obtaining engineered microbiomes owning the desired functions can implement successive sub-culturing under defined conditions (Li et al., <span>2023</span>) applying as well high-throughput techniques (Duran et al., <span>2022</span>), or artificial selection applying sequential breeding (Swenson et al., <span>2000</span>), or directed evolution subjecting community to perturbation cycles (Sánchez et al., <span>2021</span>). The construction of SynComs, synthetic microbial assemblages, following a bottom-up approach combines isolated microorganisms, genetically modified or not. The current efforts to build SynComs are based on the metabolic division of labour (MDOL) concept, the different steps of a metabolic pathway being performed by distinct populations in order to reduce the burden for each population (Tsoi et al., <span>2018</span>). The design of SynComs also consider functional traits and potential niche occupancy (Jing et al., <span>2024</span>), ecological coexistence (Chen et al., <span>2023</span>), as well as microbial species interactions within the microbiome and outside the microbiome with organisms in its environment (Leggieri et al., <span>2021</span>), that will benefit hydrocarbon bioremediation treatments. In order to direct the construction of microbial consortia, guide their transfer into the environment and anticipate their effects once released, SynComs draws largely on the recent developments of powerful computational genomic analyses (Jing et al., <span>2024</span>), mathematical models (Tsoi et al., <span>2018</span>), machine learning (Ghannam &amp; Techtmann, <span>2021</span>), and artificial intelligence (Patowary et al., <span>2023</span>). The engineered microbial consortia have not only promising potential for developing technologies to reclaim hydrocarbon-contaminated ecosystems (Yang et al., <span>2021</span>), but they have also been proposed as tool for microbiome rescue to restore ecological stability in damaged ecosystems (de Lorenzo, <span>2018</span>; Shade, <span>2023</span>). Several stratagems and formulations have been proposed to deliver microorganisms and microbial consortia into contaminated sites to ensure their colonization and maintenance overcoming colonization resistance (Das &amp; Chandran, <span>2011</span>), which have been conceptualized as ‘Environmental Galenics’ (de Lorenzo, <span>2022</span>). Most of them involve (bio)surfactants, foams, encapsulation, and immobilization of cells using supports such as biochar or nanoparticles (Mrozik &amp; Piotrowska-Seget, <span>2010</span>; Patowary et al., <span>2023</span>). Even, engineered horizontal gene transfer has been proposed especially for the treatment of large contaminated areas (de Lorenzo, <span>2022</span>). Albeit the progress made in building artificial microbial communities, whether synthetic or not, to improve both degradation and colonization capacities for efficient bioremediation, some technical hurdles still need to be overcome to achieve effective bioremediation. Particularly, it is still required to improve the stability of microbial community by strengthening microbial interactions (Xu &amp; Yu, <span>2021</span>), as well as establish rules for a safe introduction of engineered microorganism into the environment (Wang &amp; Zhang, <span>2019</span>). The most glaring shortcoming is the lack of effective control of the artificial microbial communities in time, space, and composition for which promising strategies have been proposed relying, respectively, on signalling and adhesive systems, and symbiotic relationships (Grandel et al., <span>2021</span>). Likewise, although it has been suggested that gene spread via horizontal transfer is self-limited until fitness advantages over selection pressure persist (de Lorenzo, <span>2010</span>), control systems should also consider the resilience of the local microbial community with respect to ecosystem biogeochemical cycling functions (French et al., <span>2020</span>).</p><p>The evaluation of the performance of the bioremediation treatment requires robust monitoring methods to determine the efficiency of hydrocarbon degradation and removal, the effectiveness in reducing the toxicity, as well as the innocuousness of the applied technologies for human health and the environment. Thus, it is not enough to just assess hydrocarbon content in the contaminated environment by analytical chemistry methods but the monitoring toolbox must also include a battery of (eco)-toxicity tests in order to appraise the ecological status (Schuijt et al., <span>2021</span>). In the recent years, the development of microbial biomarkers for reporting the ecological status has gained momentum leading to the elaboration of microbial indexes such as microgAMBI (Aylagas et al., <span>2017</span>), which adds the panoply of test. However, holistic approaches in line with the ‘One Health’ concept are recommended (Burke et al., <span>2017</span>) for a comprehensive evaluation of the treatments' performances. In a world driven by economics, the implementation of bioremediation treatment for the rehabilitation of hydrocarbon-contaminated sites, like any damaged site whatever the cause, must include collaboration with socio-economic players within translational ecology framework (Enquist et al., <span>2017</span>) and promote circular economy (Jagaba et al., <span>2022</span>). The development of such initiatives will clearly demonstrate the financial benefits generated by taking care of environmental health, thus paving the way for the upturn of environmental engineering harnessing the Earth hydrocarbon-degrading microbiome for reclaiming hydrocarbon-contaminated sites.</p><p><b>Robert Duran:</b> Conceptualization; investigation; writing – original draft; writing – review and editing. <b>Cristiana Cravo-Laureau:</b> Conceptualization; writing – review and editing.</p><p>The research work of the authors was funded by the MAEWA project (H2020-EU-PRIMA programme, PRIMA-P012-0004-01) supported by the French National Research Agency (ANR-23-P012-0004-01), the BIOMIC project (Interreg Sudoe Programme, European Regional Development Fund SOE4/P1/F0993), and the AQUASALT project (H2020-EU-ERANET-MED programme, NMED-0003-01) supported by the French National Research Agency (ANR-17-NMED-0003-01).</p><p>The authors declare no competing interests.</p>","PeriodicalId":209,"journal":{"name":"Microbial Biotechnology","volume":null,"pages":null},"PeriodicalIF":5.7000,"publicationDate":"2024-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11246598/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Microbial Biotechnology","FirstCategoryId":"5","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1111/1751-7915.14526","RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

As part of the battle against climate change, the decarbonization of human activities has been acted in many countries worldwide. Thus, in order to limit the planet warming, it is expected to reduce the combustion of fossil fuels for decreasing drastically the production of greenhouse gas emissions. Although beneficial for reducing carbon dioxide (CO2) production to fight against climate change, this countermeasure unfortunately does not mean that hydrocarbon pollution is behind us because hydrocarbon pollution has many sources (Duran & Cravo-Laureau, 2016) that will remain. It is estimated that the industrial and petroleum activities, which have already left behind a multitude of hydrocarbon-contaminated sites that still need to be restored, release accidentally between 1.7 and 8.8 million tonnes of oil into the environment each year (Ambaye et al., 2022). The decarbonization is also expected to have a beneficial impact on decreasing the industrial release of hydrocarbons into the environment by reducing oil spill frequency and consequences (Little et al., 2021). In addition to the direct contribution of hydrocarbons resulting from the continued use of fossil fuels, the human activities also generate indirect inputs such as wildfires introducing polycyclic aromatic hydrocarbon (PAH) into the environment (Campos et al., 2019; Paul et al., 2023). Particularly “mega fires,” which burn large forest areas, are becoming more frequent as a consequence of climate change (Bracewell et al., 2023; van Oldenborgh et al., 2021). Of course, the natural sources of hydrocarbon contamination, such as volcanic activities and marine oil seeps, as well as biogenic sources (Duran & Cravo-Laureau, 2016), continuously emit hydrocarbons into the environment. Thus, hydrocarbons last to be of concern for the environment in the future. In order to mitigate the impact of hydrocarbons on the environment, exploiting the hydrocarbon degradation potential that microorganisms have is a challenge to meet for scientists and engineers concerned about hydrocarbon pollution.

Important key knowledge has been gained on microbial hydrocarbon degradation as well as on the ecology of microbial communities inhabiting hydrocarbon-contaminated sites. The hydrocarbon degradation capacity has been described for a large number of microorganisms from diverse terrestrial and aquatic environments. Several specialist hydrocarbon-degrading microbial taxa have been described and isolated, as for example, the marine obligate hydrocarbonoclastic bacteria (OHCB) observed to bloom during marine oil spills (Yakimov et al., 2007), hydrocarbon-tolerant fungi found in petroleum-contaminated sediment (Álvarez-Barragán et al., 2021), and alkane-degrading specialist populations in soil (Hamamura et al., 2013). The characterization of specialist hydrocarbon-degrading microbial taxa has unveiled the degradation pathways, both aerobic and anaerobic, for a wide range of hydrocarbon compounds from alkanes to PAHs (Chunyan et al., 2023). While gaining knowledge, various bioremediation strategies have been proposed to mitigate the impact of hydrocarbon in contaminated sites (Goñi-Urriza et al., 2013). However, the different existing bioremediation processes for the in situ treatment of hydrocarbon-contaminated sites have to content several technical, environmental, and regulatory hurdles before reaching optimal efficiency and societal acceptability (Boopathy, 2000). Particularly, the release of microorganisms, genetically modified or not, into the environment following a bio-augmentation approach is controversial at both technical and ethical point of views (Lensch et al., 2024). Apart from the regulatory and ethical issues associated with the use of microorganisms for in situ bioremediation, which are not addressed here, there is no clear evidence that the added microorganisms colonize the contaminated site and effectively degrade the hydrocarbons (Wu et al., 2019). The difficulty for the added microorganisms to incorporate well-established microbial community, known as colonization resistance in ecological theory, depends on several factors controlling the microbial community mixing, i.e., microbial community coalescence (Châtillon, Duran, et al., 2023; Rillig et al., 2015). These factors include the microbial communities legacy based on the history of contamination (Hafez et al., 2022), the size of the added community (Rillig et al., 2015), and priority effects (Tucker & Fukami, 2014). Nevertheless, the current knowledge on hydrocarbon microbial ecology provides crucial information opening the way for the implementation of bioremediation processes based on synthetic biology approaches (de Lorenzo, 2008).

The ecology of microbial communities living in hydrocarbon-contaminated sites has been conceptualized on the basis of experimental and in situ observations. According to the disturbance theory (Allison & Martiny, 2008), the resistance, resilience, and functional redundancy of microbial communities in response to hydrocarbon contamination have been illustrated in several studies (Châtillon, Cébron, et al., 2023; Chronopoulou et al., 2013; Stauffert et al., 2014; Zerebecki et al., 2022). However, the microbial communities have been shown extremely dynamic and interactive in response to hydrocarbon contamination (Head et al., 2006; McGenity et al., 2012), requiring to switch beyond the concepts of resistance, resilience, and redundancy in order to better understand the structure or function relationships (Bissett et al., 2013). The ecological succession, microbial taxa replacement over time, has been observed in many cases after hydrocarbon contamination experimentally (Bordenave, Fourçans, et al., 2004; Bordenave, Jézéquel, et al., 2004; Cerqueda-García et al., 2020) and in situ after an oil spill (Kimes et al., 2014; Péquin et al., 2022). Such ecological succession relies on the fact that hydrocarbon degradation is effected by a consortium of microorganisms, not all of which are directly involved in the degradation process. The microbial interactions have an extremely important ecological role in hydrocarbon degradation; hydrocarbon consumers receiving beneficial products (vitamins, EPS, metals, etc.) from associated microbes in return for their detoxifying activity (Louati et al., 2013; McGenity, 2014); even some associated microbes can also provide biosurfactants increasing hydrocarbon bioavailability that facilitates their degradation (Brito et al., 2009; McKew et al., 2007; Schweitzer et al., 2022). The microbial interactions also involve co-metabolism and synergistic processes in which the degradation of hydrocarbons is enhanced by the use of a co-substrate (Chen & Aitken, 1999; García-Rivero & Peralta-Pérez, 2008) or terminal electron acceptors (oxygen, nitrogen, sulphur) produced by other (micro) organisms (McGenity, 2014). Also, the microbial interactions allow microorganisms to colonize novel niches as illustrated by the inter-kingdom interaction between fungi and bacteria (Álvarez-Barragán et al., 2022), in which bacteria use the hyphosphere as ‘fungal highway’ for dispersal (Álvarez-Barragán et al., 2023). Understanding the network of processes within microbial assemblages and the underlying mechanisms from which they arise is of paramount importance to achieve efficient bioremediation practices for oil-polluted sites. It is accepted that trade-offs drive microbial assemblages (Østman et al., 2014), particularly niche specialization has been recognized as key process in hydrocarbon degradation, each degradation step being performed by different microbial functional groups (Dalby et al., 2008). The establishment of ecotypes, step in niche specialization (Gushgari-Doyle et al., 2022), has been demonstrated by the emergence of ecotypes adapted to either hydrocarbon structure (Kleindienst et al., 2015; McKew et al., 2007), temperature (Bargiela et al., 2015) or oxygen conditions (Terrisse et al., 2017). The genomic evolution conducting to niche specialization involves several adaptation mechanisms such as switch of integron gene cassettes (Abella et al., 2015; Huang et al., 2009) and horizontal gene transfer (Shahi et al., 2017); mechanisms that have been proposed to spread key degradation genes to harness microbial communities for hydrocarbon degradation in a synthetic biology approach (French et al., 2020).

In recent years, the concept of synthetic biology has been extended to microbial community (Borchert et al., 2021; De Roy et al., 2014) and even to the ecosystem (Hammond et al., 2023). The design of engineered microbial community, crucial step in the synthetic biology approaches, relies on microbial ecology principles and rules governing microbial assemblage processes such as community coalescence, habitat filtering, taxa replacement and turnover, and priority effects (Bernstein, 2019) for improving not only the biodegradation capacity but also favouring the colonization (Rocca et al., 2021; Ruan et al., 2024). Several strategies have been proposed to design synthetic microbial communities (SynComs) either by enrichment techniques resulting in simplified communities, defined as top-down approaches, or reconstruction of microbial consortia by assembling bacterial strains, known as bottom-up approaches (Bernstein, 2019; De Roy et al., 2014; Hu et al., 2022). Anent the top-down approach, the current momentum for obtaining engineered microbiomes owning the desired functions can implement successive sub-culturing under defined conditions (Li et al., 2023) applying as well high-throughput techniques (Duran et al., 2022), or artificial selection applying sequential breeding (Swenson et al., 2000), or directed evolution subjecting community to perturbation cycles (Sánchez et al., 2021). The construction of SynComs, synthetic microbial assemblages, following a bottom-up approach combines isolated microorganisms, genetically modified or not. The current efforts to build SynComs are based on the metabolic division of labour (MDOL) concept, the different steps of a metabolic pathway being performed by distinct populations in order to reduce the burden for each population (Tsoi et al., 2018). The design of SynComs also consider functional traits and potential niche occupancy (Jing et al., 2024), ecological coexistence (Chen et al., 2023), as well as microbial species interactions within the microbiome and outside the microbiome with organisms in its environment (Leggieri et al., 2021), that will benefit hydrocarbon bioremediation treatments. In order to direct the construction of microbial consortia, guide their transfer into the environment and anticipate their effects once released, SynComs draws largely on the recent developments of powerful computational genomic analyses (Jing et al., 2024), mathematical models (Tsoi et al., 2018), machine learning (Ghannam & Techtmann, 2021), and artificial intelligence (Patowary et al., 2023). The engineered microbial consortia have not only promising potential for developing technologies to reclaim hydrocarbon-contaminated ecosystems (Yang et al., 2021), but they have also been proposed as tool for microbiome rescue to restore ecological stability in damaged ecosystems (de Lorenzo, 2018; Shade, 2023). Several stratagems and formulations have been proposed to deliver microorganisms and microbial consortia into contaminated sites to ensure their colonization and maintenance overcoming colonization resistance (Das & Chandran, 2011), which have been conceptualized as ‘Environmental Galenics’ (de Lorenzo, 2022). Most of them involve (bio)surfactants, foams, encapsulation, and immobilization of cells using supports such as biochar or nanoparticles (Mrozik & Piotrowska-Seget, 2010; Patowary et al., 2023). Even, engineered horizontal gene transfer has been proposed especially for the treatment of large contaminated areas (de Lorenzo, 2022). Albeit the progress made in building artificial microbial communities, whether synthetic or not, to improve both degradation and colonization capacities for efficient bioremediation, some technical hurdles still need to be overcome to achieve effective bioremediation. Particularly, it is still required to improve the stability of microbial community by strengthening microbial interactions (Xu & Yu, 2021), as well as establish rules for a safe introduction of engineered microorganism into the environment (Wang & Zhang, 2019). The most glaring shortcoming is the lack of effective control of the artificial microbial communities in time, space, and composition for which promising strategies have been proposed relying, respectively, on signalling and adhesive systems, and symbiotic relationships (Grandel et al., 2021). Likewise, although it has been suggested that gene spread via horizontal transfer is self-limited until fitness advantages over selection pressure persist (de Lorenzo, 2010), control systems should also consider the resilience of the local microbial community with respect to ecosystem biogeochemical cycling functions (French et al., 2020).

The evaluation of the performance of the bioremediation treatment requires robust monitoring methods to determine the efficiency of hydrocarbon degradation and removal, the effectiveness in reducing the toxicity, as well as the innocuousness of the applied technologies for human health and the environment. Thus, it is not enough to just assess hydrocarbon content in the contaminated environment by analytical chemistry methods but the monitoring toolbox must also include a battery of (eco)-toxicity tests in order to appraise the ecological status (Schuijt et al., 2021). In the recent years, the development of microbial biomarkers for reporting the ecological status has gained momentum leading to the elaboration of microbial indexes such as microgAMBI (Aylagas et al., 2017), which adds the panoply of test. However, holistic approaches in line with the ‘One Health’ concept are recommended (Burke et al., 2017) for a comprehensive evaluation of the treatments' performances. In a world driven by economics, the implementation of bioremediation treatment for the rehabilitation of hydrocarbon-contaminated sites, like any damaged site whatever the cause, must include collaboration with socio-economic players within translational ecology framework (Enquist et al., 2017) and promote circular economy (Jagaba et al., 2022). The development of such initiatives will clearly demonstrate the financial benefits generated by taking care of environmental health, thus paving the way for the upturn of environmental engineering harnessing the Earth hydrocarbon-degrading microbiome for reclaiming hydrocarbon-contaminated sites.

Robert Duran: Conceptualization; investigation; writing – original draft; writing – review and editing. Cristiana Cravo-Laureau: Conceptualization; writing – review and editing.

The research work of the authors was funded by the MAEWA project (H2020-EU-PRIMA programme, PRIMA-P012-0004-01) supported by the French National Research Agency (ANR-23-P012-0004-01), the BIOMIC project (Interreg Sudoe Programme, European Regional Development Fund SOE4/P1/F0993), and the AQUASALT project (H2020-EU-ERANET-MED programme, NMED-0003-01) supported by the French National Research Agency (ANR-17-NMED-0003-01).

The authors declare no competing interests.

碳氢化合物污染危机:利用地球碳氢化合物降解微生物群。
根据干扰理论(Allison &amp; Martiny, 2008),多项研究(Châtillon, Cébron, et al.,2023; Chronopoulou et al.,2013; Stauffert et al.,2014; Zerebecki et al.,2022)说明了微生物群落在应对碳氢化合物污染时的抵抗力、恢复力和功能冗余性。然而,微生物群落在应对碳氢化合物污染时表现出极大的动态性和互动性(Head 等人,2006 年;McGenity 等人,2012 年),需要超越抵抗力、复原力和冗余性的概念,才能更好地理解结构或功能关系(Bissett 等人,2013 年)。在碳氢化合物污染后的许多实验中(Bordenave、Fourçans 等人,2004 年;Bordenave、Jézéquel 等人,2004 年;Cerqueda-García 等人,2020 年)和溢油后的现场(Kimes 等人,2014 年;Péquin 等人,2022 年),都观察到了生态演替(微生物类群随时间更替)。这种生态演替依赖于这样一个事实,即碳氢化合物的降解是由微生物群共同作用的,并非所有微生物都直接参与降解过程。微生物之间的相互作用在碳氢化合物降解过程中发挥着极其重要的生态作用;碳氢化合物消费者从相关微生物那里获得有益产品(维生素、EPS、金属等),以换取它们的解毒活动(Louati 等人,2013 年;McGenity,2014 年);甚至一些相关微生物还能提供生物表面活性剂,增加碳氢化合物的生物利用率,从而促进碳氢化合物的降解(Brito 等人,2009 年;McKew 等人,2007 年;Schweitzer 等人,2022 年)。微生物相互作用还涉及共代谢和协同作用过程,其中碳氢化合物的降解可通过使用共底物(Chen &amp; Aitken,1999 年;García-Rivero &amp; Peralta-Pérez,2008 年)或其他(微)生物产生的终端电子受体(氧、氮、硫)而得到加强(McGenity,2014 年)。此外,微生物之间的相互作用还能使微生物在新的生态位上定殖,真菌与细菌之间的跨生物界相互作用(Álvarez-Barragán 等人,2022 年)就说明了这一点,细菌利用地圈作为 "真菌高速公路 "进行传播(Álvarez-Barragán 等人,2023 年)。要在石油污染场地实现高效的生物修复实践,了解微生物群落内的过程网络及其产生的基本机制至关重要。人们普遍认为,权衡利弊是微生物群落的驱动力(Østman 等人,2014 年),尤其是生态位专业化已被认为是碳氢化合物降解的关键过程,每个降解步骤都由不同的微生物功能群来完成(Dalby 等人,2008 年)。生态型的建立是生态位特化的一步(Gushgari-Doyle 等人,2022 年),适应碳氢化合物结构(Kleindienst 等人,2015 年;McKew 等人,2007 年)、温度(Bargiela 等人,2015 年)或氧气条件(Terrisse 等人,2017 年)的生态型的出现证明了这一点。对生态位特化进行的基因组进化涉及多种适应机制,如整合子基因盒的切换(Abella 等人,2015 年;Huang 等人,2009 年)和水平基因转移(Shahi 等人,2017 年)、近年来,合成生物学的概念已扩展到微生物群落(Borchert 等人,2021 年;De Roy 等人,2014 年),甚至生态系统(Hammond 等人,2023 年)。工程微生物群落的设计是合成生物学方法的关键步骤,它依赖于微生物生态学原理和管理微生物集合过程的规则,如群落凝聚、栖息地过滤、类群替换和更替以及优先效应(Bernstein,2019 年),不仅可以提高生物降解能力,还有利于定殖(Rocca 等人,2021 年;Ruan 等人,2024 年)。已经提出了几种设计合成微生物群落(SynComs)的策略,一种是通过富集技术形成简化群落,即自上而下的方法;另一种是通过组装细菌菌株重建微生物群落,即自下而上的方法(Bernstein,2019;De Roy 等人,2014;Hu 等人,2022)。关于自上而下的方法,目前获得具有所需功能的工程微生物组的动力可以是在规定条件下进行连续的亚培养(Li 等人,2023 年),以及应用高通量技术(Duran 等人,2022 年),或应用连续育种进行人工选择(Swenson 等人,2000 年),或使群落受到扰动循环的定向进化(Sánchez 等人,2021 年)。 罗伯特-杜兰构思;调查;写作--原稿;写作--审阅和编辑。克里斯蒂安娜-克拉沃-劳尔构思;写作--审阅和编辑。作者的研究工作得到了法国国家研究署(ANR-23-P012-0004-01)支持的 MAEWA 项目(H2020-EU-PRIMA 计划,PRIMA-P012-0004-01)、BIOMIC 项目(Interreg Sudoe 计划,欧洲区域发展基金 SOE4/P1/F0993)以及法国国家研究署(ANR-17-NMED-0003-01)支持的 AQUASALT 项目(H2020-EU-ERANET-MED 计划,NMED-0003-01)的资助。作者不声明任何利益冲突。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Microbial Biotechnology
Microbial Biotechnology Immunology and Microbiology-Applied Microbiology and Biotechnology
CiteScore
11.20
自引率
3.50%
发文量
162
审稿时长
1 months
期刊介绍: Microbial Biotechnology publishes papers of original research reporting significant advances in any aspect of microbial applications, including, but not limited to biotechnologies related to: Green chemistry; Primary metabolites; Food, beverages and supplements; Secondary metabolites and natural products; Pharmaceuticals; Diagnostics; Agriculture; Bioenergy; Biomining, including oil recovery and processing; Bioremediation; Biopolymers, biomaterials; Bionanotechnology; Biosurfactants and bioemulsifiers; Compatible solutes and bioprotectants; Biosensors, monitoring systems, quantitative microbial risk assessment; Technology development; Protein engineering; Functional genomics; Metabolic engineering; Metabolic design; Systems analysis, modelling; Process engineering; Biologically-based analytical methods; Microbially-based strategies in public health; Microbially-based strategies to influence global processes
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