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Enregistrement W4387695864 · doi:10.3897/aca.6.e108172

Genomic Approaches and Analyses of Slow-Growing Obligate Iron-Metabolizing Microbes

2023· article· en· W4387695864 sur OpenAlexaboutno aff
David S. Y. Hsu, Abhiney Jain, Halle Kruchoski, Daniel R. Bond, Jeffrey A. Gralnick

Notice bibliographique

RevueARPHA Conference Abstracts · 2023
Typearticle
Langueen
DomaineEnvironmental Science
ThématiqueMicrobial Fuel Cells and Bioremediation
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésGeobacter sulfurreducensShewanella oneidensisGeobacterBiologyElectron acceptorChemistryBiochemistryBacteriaGeneticsBiofilm

Résumé

récupéré en direct d'OpenAlex

The biogeochemical cycling of iron is a vastly important process that has been a major factor defining life on Earth both before and after the Great Oxidation Event. While both abiotic and biotic factors contributing to the iron cycle have been studied for many years, the bulk of studies on iron metabolizing organisms has focused on a select few, easily manipulated model organisms. Recent discoveries have identified several unique and difficult to work with organisms from iron rich environments that survive solely on iron as either an electron acceptor or donor. The Fe(III)-reducing, Gram-positive Firmicute Metallumcola ferriviriculae MK1 was recently isolated from the Soudan Underground Mine in northern Minnesota from brine waters that intersect 2.7 Ga banded iron formations within the Canadian Shield. M. ferriviriculae MK1, which grows anaerobically using Fe(III)-citrate as its sole electron acceptor, is also mesophilic, spore-forming, culturable, and rich in multiheme cytochromes. Multiheme cytochromes are a well-established mechanism for Fe(III) reduction among the model Gram-negative microbes, such as Shewanella oneidensis and Geobacter sulfurreducens , but is poorly studied in Gram-positives. While the slow growth times of M. ferriviriculae MK1 make it difficult to study in the laboratory, the genome encodes homologs to multiheme cytochromes utilized by G. sulfurreducens for Fe(III) reduction. Specifically, two gene clusters (MK1_2258-2259 and MK1_2264-2265) each encode proteins homologous to the b -type cytochrome domain (60% and 61% sequence similarity, respectively) and c -type cytochrome domain (44.9% and 47.14%, respectively) of cbcL , which is used for reduction of mid-range redox potential acceptors in G . sulfurreducens and MK1_1670 is homologous to imcH (54.3% sequence similarity), which is used for higher redox potential acceptors. Additionally, the MK1 genome contains genes associated with sporulation, including genes encoding the master sporulation regulator spo0A , the peptidoglycan remodeling enzymes spoIID , spoIIP , and spoIIM , the spore morphogenesis protein spoIVA , and the small, acid-soluble spore proteins sspA , sspB , sspC , sspD , and sspF . Extraction and isolation of MK1 spores will facilitate evaluation of sporulation and germination conditions to shed light on a crucial preservation mechanism from an organism found in an environment with limited nutrients. Further evaluation into this novel organism can also give us insights into the microbial impacts on the iron cycle in the deep terrestrial biosphere. Another microbe of interest that was isolated from an iron-rich environment is the obligate Fe(II)-oxidizing Mariprofundus ferrooxydans PV-1, which was enriched from iron-rich mats associated with hydrothermal vents at the Kama’ehuakanaloa Seamount (previously Lo’ihi) in Hawaii. M. ferrooxydans PV-1 is a stalk-forming Fe(II)-oxidizing microbe and the first Zetaproteobacterium characterized. While M. ferrooxydans PV-1 can reliably be grown (doubling time of ~12 hours) in liquid medium traditional genetic methods are challenging because it does not make colonies on agar plates. To identify essential and non-essential genes, we developed a conjugation method using E. coli and successfully generated a transposon library in M. ferrooxydans . Libraries were grown under kanamycin selection with Fe(II)-chloride as the sole electron donor and samples isolated for analysis at two different timepoints. Deep sequencing of the mutant population at these timepoints was performed and the reads were mapped back to the M. ferrooxydans PV-1 genome to identify transposon insertion sites. Initial evaluation of the reads has identified 31 transposon insertion sites found within both the first- and second-generation populations, with 21 hits representing stable insertions in non-essential genes, including a predicted malate dehydrogenase (SPV1_772) and a predicted phospholipase (SPV1_8286), that may be useful future targets for gene insertion sites. Further evaluation comparing the read depth between the generations should identify genes that were selected for or against during the subculturing. These studies and approaches are providing insights into the roles these challenging, non-model organisms are performing in iron-rich environments, which provides a better context for the biogeochemical cycling of iron in relevant biospheres.

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 enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Expérimental (laboratoire) · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,555
Score d'incertitude au seuil0,495

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

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.

Tête enseignante Opus0,073
Tête enseignante GPT0,263
Écart entre enseignants0,190 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeExpérimental (laboratoire)
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2023
Routes d'admission1
Résumé présentoui

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