Biomass losses of Sodalinema alkaliphilum in alkaline, high pH, open raceway ponds
Bibliographic record
Abstract
Growing cyanobacteria in high pH (10+), high carbonate alkalinity medium (0.5 M) increases the driving force for CO 2 capture and helps exclude competitors and predators. But in these conditions, cyanobacteria might expend more energy to maintain osmotic gradients across their membrane. Thus, these extremophiles may respire more fixed carbon, increasing biomass losses compared to growth in milder conditions. In this work, a microbial consortium primarily composed of Sodalinema alkaliphilum (formerly Phormidium alkaliphilum ) from alkaline soda lakes was grown in an outdoor open raceway pond. Night-time biomass losses were ca. 5 % by mass. Stable isotope probing (SIP) found respiration accounted for 0–2 % of daily biomass losses with no detectable difference in respiration rates between day and night. Comparisons of SIP and mass density measurements indicated respiration was not always the primary driver of biomass loss and that DOC release may contribute, even during stable operation. Proteomics and 16S rRNA DNA sequencing showed the abundance of bacterial heterotrophs was low with Cyclonatronum spp. representing the largest fraction (<1 %). The relative abundance of proteins within the S. alkaliphilum proteome was stable but the rate of protein synthesis varied. Overall rates of protein synthesis were highest in the afternoon (when photosynthesis was most active), but quality control proteins were preferentially made in the morning, likely in preparation for the work ahead. Understanding when and how biomass is lost in cultivation systems is crucial in informing efforts to improve biomass models and enhance biomass yield. • Night-time density measurements revealed biomass losses of ca. 5 %. • Stable isotope probing did not detect diel changes in the biomass respiration rate. • Photosynthesis and protein synthesis were most active in the afternoon. • Proteomics showed diel stability in proteome of Phormidium alkaliphilum . • Quality control proteins were synthesised fastest in the morning.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
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".