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Record W6980721628

The consequences of evolutionary adaptation on the sulfur isotope fractionation of sulfate reducing microorganisms

2015· dissertation· en· W6980721628 on OpenAlexfundno aff

Bibliographic record

VenueeScholarship@McGill (McGill) · 2015
Typedissertation
Languageen
FieldArts and Humanities
TopicLinguistics, Language Diversity, and Identity
Canadian institutionsnot available
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsSulfurSulfur cycleSulfateAnoxic watersSulfideIsotope fractionationSulfur metabolism
DOInot available

Abstract

fetched live from OpenAlex

Sulfur metabolisms leave behind a record of their activity in the sulfur they utilize. This thesis seeks to advance our understanding of some of these processes with a particular focus on dissimilatory sulfate reduction. The multiple sulfur isotope composition of two porewater sulfate profiles in the anoxic marine sapropel of Mangrove Lake, Bermuda was investigated. The porewater sulfate profiles exhibit the distinct isotopic signatures of microbial sulfate reduction and sulfur reoxidation which simple diagenetic models can reproduce. The reoxidative cycle includes sulfide oxidation to elemental sulfur followed by the disproportionation of the elemental sulfur to sulfate and sulfide, and this process turns over from 50 to 80% of the sulfide produced by sulfate reduction. We suggest that the reoxidative S cycle in any environment can best be identified within two regions of the multiple sulfur isotope fractionation spectrum. Paper 1 is titled Mass-dependent sulfur isotopefractionation during reoxidative sulfur cycling: A case study from Mangrove Lake, Bermuda. The process of evolutionary adaptation has largely been assumed inconsequential on the sulfur isotopic fractionation produced during dissimilatory sulfate reduction and recorded in the isotope rock record. Yet, the diversity of sulfur isotope phenotypes displayed by species of sulfate reducing microorganisms isolated from modern environments amounts to strong evidence that evolutionary adaptation does matter. If this is the case, important information about the evolutionary history of DSR may be preserved in the rock record. However, the relationship between evolutionary adaptation and isotope phenotype is unexplored. To begin addressing this gap in knowledge, the impact of evolutionary adaptation on the fitness and sulfur isotopic phenotype of the dissimilatory sulfate reducer Desulfovibrio vulgaris Hildenborough (DvH) was investigated. The increases in fitness that were observed did not result in a change of the isotopephenotype. At least in the conditions of the experiment this result indicates that the isotopephenotype is not very sensitive to evolutionary adaptation on the hundreds of generations timescale. This suggests that lengthier timescales are necessary for evolutionary-driven divergence of the isotope phenotype. Paper 2 is titled Evolutionary adaptation of a sulfate reducing bacterium and its sulfur isotope phenotype. To address the issues raised in paper 2, pure cultures of Desulfomicrobium baculatm were evolved in batch culture for 300 generations. A greater than two fold increase in growth rate over the course of the experiment was measured as well as a change in isotope phenotype (??) from 15 to 12 %. The response of ?? to evolutionary adaptation resembles in some ways the isotopic response of physiological adaptations to changing environmental conditions. While in the narrow context of the environment where the evolutionary adaptation took place, the change in isotope phenotype is incontestable, it remains to be seen if this difference in isotope phenotype ismaintained across different growth environments. Paper 3 is titled "Evolutionary response of S isotope fractionation is predicted by phenotypic plasticity".

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)0.001
metaresearch head score (Gemma)0.009
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.575
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.038
GPT teacher head0.240
Teacher spread0.202 · 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.

Study designTheoretical or conceptual
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".

Quick stats

Citations0
Published2015
Admission routes1
Has abstractyes

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