Draft genome sequence reveals co-occurrence of multiple antimicrobial resistance and plant probiotic traits in rice root endophytic strain Burkholderia sp. LS-044 affiliated to Burkholderia cepacia complex
Bibliographic record
Abstract
OBJECTIVES: Members of the Burkholderia cepacia complex (Bcc) have been isolated from various environmental and clinical samples and reportedly pose a threat to human health. Here we examine the draft genome sequence of Burkholderia sp. LS-044, an antibiotic-resistant endophytic strain affiliated to the Bcc (ST895) inhabiting rice (Oryza sativa ssp. japonica cv. Tainung 71) root. METHODS: Antimicrobial susceptibility of LS-044 was evaluated comparatively with other Burkholderia sp. (CC-Al74 and CC-3XP9) using commercial ATB PSE 5 test strips. The genome of LS-044 was sequenced using an Illumina MiSeq platform. Plant probiotic and antimicrobial resistance genes were screened by Rapid Annotation using Subsystem Technology (RAST), CARD 2017, NCBI and/or UniProt. RESULTS: Plant-associated members of Bcc (LS-044 and CC-Al74) exhibited greater resistance to the majority of antibiotics tested. The draft genome sequence of LS-044 contained 8.78 Mbp in 62 contigs having a G + C content of 66.5%, 8868 coding sequences and 75 RNAs. The genome harboured genes coding for LysR-type β-lactamase transcription regulator, classes A, C and D β-lactamases, several metal-dependent β-lactamases, antibiotic efflux proteins, and proteins conferring resistance to colistin, streptothricin, colicin and fluoroquinolones. Similarly, it also possessed genes for copper homeostasis, copper-cobalt-zinc-cadmium-chromium resistance and reduction of mercury. Genes involved in flagellar motility, hydrolysis of murein and chitin, production of siderophore and auxin, and metabolism of aromatic compounds were also found. CONCLUSION: Genome sequence data revealed an interlinked occurrence of plant probiotic traits and antimicrobial resistance in the rice root endophyte LS-044.
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.002 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".