ReviewAMB Express2022
Characterization of symbiotic and nitrogen fixing bacteria.
Review in AMB Express, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 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
10 citing papers in PubMed, 37 citations in OpenAlex.
- Article
- Investigating the activity of Bacillus subtilis and Trichoderma harzianum to mitigate Fusarium wilt disease of diverse cultivars of Vicia faba.Scientific reports · 2025Article
- Cross-kingdom nutrient exchange in the plant-arbuscular mycorrhizal fungus-bacterium continuum.Nature reviews. Microbiology · 2024Review
- Impact of Plant-Microbe Interactions with a Focus on Poorly Investigated Urban Ecosystems-A Review.Microorganisms · 2024Review
- Exploring the landscape of biofertilizers containing plant growth-promoting rhizobacteria in Iran: Progress and research prospects.Current research in microbial sciences · 2024Review
- Stress-relieving plant growth-promoting bacterial co-inoculation enhances nodulation and nitrogen uptake in black gram under nitrogen-free saline conditions.Frontiers in microbiology · 2024Article
- Microbial controls over soil priming effects under chronic nitrogen and phosphorus additions in subtropical forests.The ISME journal · 2023Article
- Cost-Effective Cultivation of Native PGPBBioengineering (Basel, Switzerland) · 2023Article
- What determines symbiotic nitrogen fixation efficiency in rhizobium: recent insights into Rhizobium leguminosarum.Archives of microbiology · 2023Review
- Effects of adding corn steep liquor on bacterial community composition and carbon and nitrogen transformation during spent mushroom substrate composting.BMC microbiology · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Symbiotic nitrogen fixing bacteria comprise of diverse species associated with the root nodules of leguminous plants. Using an appropriate taxonomic method to confirm the identity of superior and elite strains to fix nitrogen in legume crops can improve sustainable global food and nutrition security. The current review describes taxonomic methods preferred and commonly used to characterize symbiotic bacteria in the rhizosphere. Peer reviewed, published and unpublished articles on techniques used for detection, classification and identification of symbiotic bacteria were evaluated by exploring their advantages and limitations. The findings showed that phenotypic and cultural techniques are still affordable and remain the primary basis of species classification despite their challenges. Development of new, robust and informative taxonomic techniques has really improved characterization and identification of symbiotic bacteria and discovery of novel and new species that are effective in biological nitrogen fixation (BNF) in diverse conditions and environments.
Indexed as
Identifiers
What 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.