Data · dataset · 2026
Diversity and Spatial Distribution Patterns of Antioxidant-Related Genes in Prokaryotes: A Case Study of the Lashan Mountain Watershed
Listed in ScienceDB
Microbial antioxidant functions hold significant application potential in the development of health resources, yet their spatial distribution patterns across continuous ecological gradients remain poorly understood.
Description
[Objective] To elucidate the diversity and spatial distribution characteristics of antioxidant functional genes in prokaryotic microorganisms within the Lashan Mountain watershed. [Methods] A spatially exhaustive nine-grid sampling strategy was employed, establishing 117 sampling points across the watershed and its 12 sub-basins.
Functional prediction was performed using PICRUSt2 based on 16S rRNA gene high-throughput sequencing data. [Results] A total of 38 genes associated with antioxidant synthesis were identified, categorized into 12 functional groups. Diversity and total abundance of antioxidant genes were unevenly distributed within the Lashashan watershed, with the downstream region exhibiting higher gene diversity and abundance.
Read the rest (2 more)
Genes associated with non-enzymatic antioxidants dominated both in functional category richness (7 categories, 0.005 270–0.007 657) and abundance, with glutathione (GSH) and thioredoxin (Trx) genes exhibiting the highest abundances. The overall abundance variation of individual genes (CV=125.85) primarily originated within sub-basins (CV=77.23). After classifying antioxidant genes by synthesised compounds, the pattern of variation reversed.
[Conclusion] Prokaryotic antioxidant functional genes exhibit spatial distribution differences within the watershed, with the downstream region—characterized by multiple coupled stresses—emerging as a hotspot for antioxidant gene diversity and total abundance. This study provides an ecological basis for the targeted screening of high-quality antioxidant strains.
Links
Where it is published
- DOI doi.org/10.57760/sciencedb.31874 ↗
DOI / persistent id · from scidb cn
Catalogue records · 1
- OAI-PMH record scidb.cn/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=10.57760%2… ↗
metadata API · from scidb cn
Topics
- From keywords
- Earth & Environmental Science · Engineering · Humanities · Life Sciences · Medicine & Health · Social Science
- Inferred from text
- Microbial taxonomy 76% · Sequencing 75%
Provenance · 1 source records, 13 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| ScienceDB | 10.57760/sciencedb.31874 | 9 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].anzsrc:field:310409 | enrichment · scidb cn | taxonomy-embedding@1.0.0 | title+keywords+description (76%) |
| concepts[field].local:field:earth-environmental | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:engineering | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:humanities | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:medicine-health | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:social-science | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[modality].local:modality:sequencing | enrichment · scidb cn | keyword-concept-rules@1.0.0 | title+description (75%) |
| description | source · scidb cn | connector:scidb_cn@1.0.0 | /metadata/dc/description |
| license | source · scidb cn | connector:scidb_cn@1.0.0 | /metadata/dc/rights |
| publication_date | source · scidb cn | connector:scidb_cn@1.0.0 | |
| title | source · scidb cn | connector:scidb_cn@1.0.0 | /metadata/dc/title |