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

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

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

Bibliographic record

VenueARPHA Conference Abstracts · 2023
Typearticle
Languageen
FieldEnvironmental Science
TopicMicrobial Fuel Cells and Bioremediation
Canadian institutionsnot available
Fundersnot available
KeywordsGeobacter sulfurreducensShewanella oneidensisGeobacterBiologyElectron acceptorChemistryBiochemistryBacteriaGeneticsBiofilm

Abstract

fetched live from 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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.555
Threshold uncertainty score0.495

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.073
GPT teacher head0.263
Teacher spread0.190 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2023
Admission routes1
Has abstractyes

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