Editorial: Exploring processes and applications of metal-microbe interactions
Notice bibliographique
Résumé
Microbial processes play crucial roles in biogeochemical cycling, which encompasses mineral formation and weathering, soil and water acidification, carbon capture, nutrient availability, and many other processes. A great number of microbes and their metabolic traits can be harvested to improve industrial applications and processes. Guo et al. (2024) has reported that an elevated molybdenum content increases the adhesion of Bacillus subtilis on the surface of low-alloy steel, and improves subsequent biomineralization that mitigates metal corrosion. The results imply that the molybdenum content can affect the chemotaxis, mobility and carbonic anhydrase secretion related genes in the bacterium. Guberman-Pfeffer (2024) provides a perspective on the electrically conductive filaments of redox-active cytochromes ('nanowires') in Geobacter sulfurreducens, a bacterium that profoundly shapes Earth biogeochemistry by discharging electrons to minerals and other microbes through the filaments. The above study summarizes our current mechanistic understanding of physiological metal-microbe interactions, contributing thus to the efforts to optimize the interactions for bioremediation and energy or chemical production.There is a growing global interest in implementing 'green' biotechnologies in industrial extractive processes, and bioleaching is a cost-effective alternative to conventional pyro-and hydrometallurgical processing that has reduced negative environmental effects. Lithium is becoming increasingly important due to its use in batteries needed for electrification and transition to net zero. Kirk et al. (2024) investigated bioleaching of lithium from three different minerals using the acidophile Acidithiobacillus ferrooxidans, including performing kinetic modelling to predict the dominant reaction pathways for lithium extraction. The study successfully demonstrated the potential for acidophilic bioleaching in jadarite processing, with relevance for other lithium-bearing deposits. Antimony is another important strategic material, mainly used as flame retardant in electronic devices, batteries, printing industries, semiconductors, and pharmaceuticals. Zheng et al. (2024) improved the dissolution rate of stibnite (Sb2S3) by pyrite (FeS2) addition, which led to the formation of FeS2-Sb2S3 galvanic cell and promotion of the electron transfer efficiency and antimony extraction by Sulfobacillus thermosulfidooxidans. Importantly, the mechanism of (bio)leaching of Sb-bearing sulfides and chemical speciation have been described based on results obtained via a combination experiments and modelling.Metal mining generates large amounts of wastes (such as waste rock and mine tailings), which are stored at or near mine sites and which present serious risks to the environment due to acid mine drainage (AMD) and mobilization of hazardous metal(loid)s that cause problems for humans and wildlife. A broad range of remediation strategies have been developed to mitigate the negative environmental impacts of mining, and many of these strategies are based on and affected by microbial activity. Sulfate-reducing bacteria (SRB) are often used in both active and passive mine water treatment to immobilize metal(loid) contaminants as insoluble sulfides. Most known SRBs are neutrophiles, but species that are capable of sulfate reduction under acidic conditions are of a particular interest for practical applications due to many mineimpacted environments being acid-generating. The metabolic activity of acid-tolerant SRBs was enhanced in the deep layer of an acidic pit lake in Spain, via sulfur and organic amendments that promoted the formation of low-solubility sulfide minerals (Liu et al., 2024). Microbial community analysis of enrichment samples revealed the dominance of Desulfosporosinus acididurans. Dong et al. (2024) applied SRBs to treat synthetic AMD and real mine tailings from a zinc-lead mine, reporting on the metal tolerance and bio-cementing strength of SRBs. The mechanism of SRB fixing pollutants in tailings was revealed via detailed analysis of solids.Revegetation is an environmentally sustainable technique for in situ mine site restoration, and it is less costly than traditional physicochemical techniques. However, due to the elevated levels of dissolved metal(loid)s and low microbial activity in the tailings area, it is generally difficult for plants to survive. Mao et al. (2024) studied the specific microbiome associated with Imperata cylindrica, a dominant pioneer plant in many abandoned mines. The authors reported increased diversity of fungi in rhizosphere soil, which is expected to lead to enhanced nutrition supply and thus improved mine restoration efficacy. In recent years, bacterial exopolysaccharides (EPS) have been investigated as an emerging approach in environmental remediation of mineimpacted environments contaminated with heavy metals. A genomic study by Najjari et al. (2024) evaluates the metal biosorption potential of EPS produced by a novel Psychrobacillus strain isolated from an iron ore deposit in northern Tunisia, indicating greater adsorption of iron and lead compared to copper and cadmium. Another innovative approach, electrokinetic remediation, is based on metal removal by low-potential electrodes installed into contaminated soil. Narenkumar et al. (2024) investigated the potential of biosurfactants produced by Pseudomonas stutzeri and Bacillus cereus to serve as electrolyte during the electrokinetic process, achieving the removal rate of 70-75% chromium from contaminated soil, without negative effects on plant seed germination.Besides positive effects, microbial activity can negatively affect material quality, and promote deterioration and corrosion. It has been shown that microbial proliferation in metal-cutting fluid decreased its quality; organic acids secreted by anaerobic microorganisms and decomposition of some of the fluid components by aerobes lowered the pH of the cutting fluid and its resistance to corrosion. In addition, the accumulation of fungal mycelium resulted in reduced lubricity and poor stability (Shen et al., 2025).In summary, understanding of microbial processes and metal-microbe interactions can help develop effective measures to promote beneficial microbial processes (such as metal extraction during bioleaching, metal immobilization in remediation systems, and formation of protective layers on metal surfaces) and inhibit deleterious microbial activities (e.g., deterioration of industrial materials).
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,001 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».