Denitrification and dissimilatory nitrate reduction to ammonium (DNRA) were thought to be carried-out by anaerobic bacteria constrained to anoxic conditions as they use nitrate (NO3-) as a terminal electron acceptor instead of molecular O2. Three soil bacilli, Neobacillus spp. strains PS2-9 and PS3-12 and Bacillus salipaludis PS3-36, were isolated from rice paddy field soil in Korea. The bacterial strains were selected as possible candidates performing aerobic denitrification and DNRA as they observed to reduce NO3- and produce extracellular NH4+ regardless of oxygen presence at the initial screening. Whole genome sequencing revealed that these strains possessed all the denitrification and DNRA functional genes in their genomes, including the nirK, nosZ, nirB, and nrfA genes, which were simultaneously cotranscribed under aerobic condition. The ratio between the assimilatory and dissimilatory NO3- reduction pathways depended on the availability of a nitrogen source for cell growth, other than NO3-. Based on the phenotypic and transcriptional analyses of the NO3- reductions, all three of the facultative anaerobic strains reduced NO3- likely in both assimilatory and dissimilatory pathways under both aerobic and anoxic conditions. To our knowledge, this is the first report that describes coexistence of NO3- assimilation, denitrification, and DNRA in a Bacillus or Neobacillus strain under aerobic condition. These strains may play a pivotal role in the soil nitrogen cycle.
Nitrate (
NO3
−) is highly water-soluble and considered to be the main nitrogen pollutants leached from agricultural soils. Its
presence in aquatic ecosystems is reported to cause various environmental and public health problems. Bioreactors containing
microbes capable of transforming NO3
− have been proposed as a means to remediate contaminated waters. Woodchip bioreactors
(WBRs) are continuous flow, reactor systems located below or above ground. Below ground systems are comprised
of a trench filled with woodchips, or other support matrices. The nitrate present in agricultural drainage wastewater passing
through the bioreactor is converted to harmless dinitrogen gas (
N2) via the action of several bacteria species. The WBR has
been suggested as one of the most cost-effective NO3
−-removing strategy among several edge-of-field practices, and has been
shown to successfully remove NO3
− in several field studies. NO3
− removal in the WBR primarily occurs via the activity of
denitrifying microorganisms via enzymatic reactions sequentially reducing NO3
− to N2.
While previous woodchip bioreactor
studies have focused extensively on its engineering and hydrological aspects, relatively fewer studies have dealt with the
microorganisms playing key roles in the technology. This review discusses NO3
− pollution cases originating from intensive
farming practices and N-cycling microbial metabolisms which is one biological solution to remove NO3
− from agricultural
wastewater. Moreover, here we review the current knowledge on the physicochemical and operational factors affecting
microbial metabolisms resulting in removal of NO3
− in WBR, and perspectives to enhance WBR performance in the future.
Citations
Citations to this article as recorded by
Complete genome sequence of
Neobacillus
sp. strain OS1-2, a denitrifying bacterium isolated from apple orchard soil
Jinwoo Ahn, Jeonghwan Jang, Elinne Becket Microbiology Resource Announcements.2024;[Epub] CrossRef
The environment is under siege from a variety of pollution
sources. Fecal pollution is especially harmful as it disperses
pathogenic bacteria into waterways. Unraveling origins of
mixed sources of fecal bacteria is difficult and microbial
source tracking (MST) in complex environments is still a
daunting task. Despite the challenges, the need for answers
far outweighs the difficulties experienced. Advancements in
qPCR and next generation sequencing (NGS) technologies
have shifted the traditional culture-based MST approaches
towards culture independent technologies, where communitybased
MST is becoming a method of choice. Metagenomic
tools may be useful to overcome some of the limitations of
community-based MST methods as they can give deep insight
into identifying host specific fecal markers and their association
with different environments. Adoption of machine
learning (ML) algorithms, along with the metagenomic based
MST approaches, will also provide a statistically robust and
automated platform. To compliment that, ML-based approaches
provide accurate optimization of resources. With the
successful application of ML based models in disease prediction,
outbreak investigation and medicine prescription,
it would be possible that these methods would serve as a
better surrogate of traditional MST approaches in future.
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Inflammatory bowel disease (IBD) is a result of chronic inflammation
caused, in some part, by dysbiosis of intestinal
microbiota, mainly commensal bacteria. Gut dysbiosis can
be caused by multiple factors, including abnormal immune
responses which might be related to genetic susceptibility,
infection, western dietary habits, and administration of antibiotics.
Consequently, the disease itself is characterized as
having multiple causes, etiologies, and severities. Recent studies
have identified > 200 IBD risk loci in the host. It has been
postulated that gut microbiota interact with these risk loci result ing in dysbiosis, and this subsequently leads to the development
of IBD. Typical gut microbiota in IBD patients
are characterized with decrease in species richness and many
of the commensal, and beneficial, fecal bacteria such as Firmicutes
and Bacteroidetes and an increase or bloom of Proteobacteria.
However, at this time, cause and effect relationships
have not been rigorously established. While treatments
of IBD usually includes medications such as corticosteroids,
5-aminosalicylates, antibiotics, immunomodulators, and anti-
TNF agents, restoration of gut dysbiosis seems to be a safer
and more sustainable approach. Bacteriotherapies (now called
microbiota therapies) and dietary interventions are effective
way to modulate gut microbiota. In this review, we summarize
factors involved in IBD and studies attempted to treat IBD
with probiotics. We also discuss the potential use of microbiota
therapies as one promising approach in treating IBD.
As therapies based on the modulation of gut microbiota becomes
more common, future studies should include individual
gut microbiota differences to develop personalized therapy
for IBD.
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