ArticleWorld journal of microbiology & biotechnology2012
Analysis of unculturable bacterial communities in tea orchard soils based on nested PCR-DGGE.
Article in World journal of microbiology & biotechnology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
8 citing papers in PubMed.
- Diversity analysis of endophytes with antimicrobial and antioxidant potential from Viola odorata: an endemic plant species of the Himalayas.Brazilian journal of microbiology : [publication of the Brazilian Society for Microbiology] · 2023Article
- Tea-Soybean Intercropping Improves Tea Quality and Nutrition Uptake by Inducing Changes of Rhizosphere Bacterial Communities.Microorganisms · 2022Article
- Isolation, Characterization, and Tea Growth-Promoting Analysis of JW-CZ2, a Bacterium With 1-Aminocyclopropane-1-Carboxylic Acid Deaminase Activity Isolated From the Rhizosphere Soils of Tea Plants.Frontiers in microbiology · 2022Article
- Variations in Soil Nutrient Dynamics and Bacterial Communities After the Conversion of Forests to Long-Term Tea Monoculture Systems.Frontiers in microbiology · 2022Article
- Near-natural transformation ofPeerJ · 2021Article
- Large-Scale Characterization of the Soil Microbiome in Ancient Tea Plantations Using High-Throughput 16S rRNA and Internal Transcribed Spacer Amplicon Sequencing.Frontiers in microbiology · 2021Article
- Emulsion PCR (ePCR) as a Tool to Improve the Power of DGGE Analysis for Microbial Population Studies.Microorganisms · 2020Article
- The effects of chemical and organic fertilizer usage on rhizosphere soil in tea orchards.PloS one · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The bacterial communities in the soils from tea orchards and their adjacent wasteland in Anhui Province, China were analysed by nested PCR-DGGE technique combined with sequencing. DGGE profiles revealed that the DGGE patterns of different soils were similar to each other and the most intensely bands appeared in all lanes. The bacterial genetic diversity index of tea orchard soils was lower than that of wasteland. For the tea orchard soils, Shannon's diversity index decreased in the order: 45-year-old tea orchard >25-year-old tea orchard >7-year-old tea orchard >70-year-old tea orchard. The analysis of 16S rRNA gene sequences indicated that the fragments belong to Proteobacteria, Acidobacteria, TM7, Cyanobacteria and Firmicutes. A comprehensive analysis of the bacterial community structure in the tea orchard soils indicated the bacterial community was dominantly composed of Acidobacteria, followed by Proteobacteria (Gamma and Alpha), Firmicutes, Cyanobacteria and candidate division TM7. The RDA combined with UPGMA clustering analysis showed that the more similar the environmental variables were, the more similar the bacterial community structures in tea orchard soils were.
Indexed as
Identifiers
22806018What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.