MétaCan
Menu
Back to cohort
Record W2991673337

TOWARDS THE MINIMAL SYMBIOTIC GENOME OF SINORHIZOBIUM MELILOTI

2019· dissertation· en· W2991673337 on OpenAlexfundno aff
Jiarui Huang

Bibliographic record

VenueMacSphere (McMaster University) · 2019
Typedissertation
Languageen
FieldAgricultural and Biological Sciences
TopicMycorrhizal Fungi and Plant Interactions
Canadian institutionsnot available
FundersMcMaster University
KeywordsSinorhizobium melilotiGenomeBiologySymbiosisComputational biologyGeneticsGeneBacteria
DOInot available

Abstract

fetched live from OpenAlex

Sinorhizobium meliloti is a model bacterium for the study of symbiotic nitrogen fixation (SNF). It infects the roots of alfalfa as well as some other legumes and differentiates into N2-fixing bacteroids within the plant cells of specialized nodule organs. To understand genes essential for SNF and, in the longer term, to facilitate the manipulation of this SNF process for agricultural purposes, it is highly desirable to construct the minimal genome for SNF in this organism. S. meliloti harbors two replicons required for SNF, a 1.7-Mb chromid (pSymB) and a 1.4-Mb megaplasmid (pSymA). A previous deletion analysis revealed that only four gene regions, accounting for <12% of the total sequences of pSymA and pSymB that, were essential for SNF. In the first part of the thesis, I report the cloning of these two pSymA SNF-essential regions on a plasmid (pTH3255) in Escherichia coli, and the integration of this plasmid into the genome of a ∆pSymA S. meliloti derivative strain (the strain was named as RmP4291 after integration). Plant root dry weight and nitrogenase-catalyzed acetylene reduction assays were carried out on RmP4291 with four host plants, including Medicago sativa, Medicago truncatula, Melilotus alba and Melilotus officinalis. Nodule kinetic assays were also performed on RmP4291 and RmP110(wt). The results showed that the SNF-essential regions from pSymA were sufficient to restore the symbiotic capabilities to the ∆pSymA derivative strain with all the host plants tested, except a significant reduction (~40%) in SNF by RmP4291 was noticed on M. officinalis compared to that by wildtype S. meliloti. A higher alfalfa nodulation efficiency of RmP4291 compared to that of wildtype RmP110 was also discovered. In the second part of the thesis, a histochemical staining method for S. meliloti nodules was developed by integrating the marker genes gusA (β-glucuronidase) and celB (β-glucosidase) into the S. meliloti genome. This staining method was found to be useful in the study of nodule competitiveness. A nodule competition assay was carried out between RmP4291 and RmP110 using the new staining method. RmP4291 was found to be significantly reduced in nodulation competitiveness compared to wildtype S. meliloti. The development of the histochemical staining method for S. meliloti nodules will accelerate the identification of genes required for nodule competitiveness in the organism, which will be of crucial importance to the construction of the minimal genome strains with high SNF efficiency.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

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 integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.001

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 head0.014
GPT teacher head0.186
Teacher spread0.172 · 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 source (direct Gemma or distilled Codex), 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".

Quick stats

Citations0
Published2019
Admission routes1
Has abstractyes

Explore more

Same venueMacSphere (McMaster University)Same topicMycorrhizal Fungi and Plant InteractionsFrench-language works237,207