Bacterial community diversity and dynamics of Dongzhai harbor mangrove soils in China
Bibliographic record
Abstract
Dongzhai Harbor National Nature Reserve is the largest mangrove reserve in China, but the bacterial diversity and community structure of soils in the Dongzhai harbor mangrove (DHM) is still not well known. This study was conducted to characterize and compare the bacterial community diversity and composition of DHM soils in three typical sites (YA, entrance of wastewater and sanitary sewage; YB, located in Dongzhai Harbor National Nature Reserve; YC, near the sea) using high-throughput sequencing of the 16S rDNA. Community statistical analyses suggested that the YB and YC soils have a similar community structure, but they differ from the YA soils significantly. Proteobacteria and Chloroflexi were the ubiquitous and dominant groups that made up nearly 80% of total bacterial communities, but it was noted that Chloroflexi had a higher relative abundance in YA soil samples than YB and YC soil samples and that the operational taxonomic units (OTUs) of Anaerolineaceae, Gammaproteobacteria, and Thiogranum reached extremely significant levels. Interaction network analysis of the 50 most abundant OTUs further demonstrated that the OTUs of YA showed few interactions with YB and YC OTUs, and the Cluster of Orthologous Group (COG) involved in lipid transport and metabolism showed significant differences between the YA and YB soil samples. Our results will greatly help to understand the bacterial community variation of the DHM as human activities enhance and grow, and to identify some challenges for the restoration and management of the mangrove ecosystem.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".