Fish growth enhances microbial sulfur cycling in aquaculture pond sediments

Microbial sulfate reduction and sulfur oxidation are vital processes to enhance organic matter degradation in sediments. However, the diversity and composition of sulfate-reducing bacteria (SRB) and sulfur-oxidizing bacteria (SOB) and their environmental driving factors are still poorly understood in aquaculture ponds, which received mounting of organic matter. In this study, bacterial communities, SRB and SOB from sediments of aquaculture ponds with different sizes of grass carp (Ctenopharyngodon idellus) were analysed using high-throughput sequencing and quantitative real-time PCR (qPCR). The results indicated that microbial communities in aquaculture pond sediments of large juvenile fish showed the highest richness and abundance of SRB and SOB, potentially further enhancing microbial sulfur cycling. Specifically, SRB were dominated by Desulfobulbus and Desulfovibrio, whereas SOB were dominated by Dechloromonas and Leptothrix. Although large juvenile fish ponds had relatively lower concentrations of sulfur compounds (i.e. total sulfur, acid-volatile sulfide and elemental sulfur) than those of larval fish ponds, more abundant SRB and SOB were found in the large juvenile fish ponds. Further redundancy analysis (RDA) and linear regression indicated that sulfur compounds and sediment suspension are the major environmental factors shaping the abundance and community structure of SRB and SOB in aquaculture pond sediments. Findings of this study expand our current understanding of microbial driving sulfur cycling in aquaculture ecosystems and also provide novel insights for ecological and green aquaculture managements.     

Characterisation of the bacterial community associated with early stages of Great Scallop (Pecten maximus), using denaturing gradient gel electrophoresis (DGGE)

Denaturing gradient gel electrophoresis (DGGE) of PCR-amplified 16S rDNA was used to characterise and compare bacterial communities associated with scallop larvae (Pecten maximus), in different production units in a shellfish hatchery. Water and larvae samples were collected from three different aquaculture systems; stagnant, flow-through and a flow- through system with seawater treated with ozone. Samples were also collected from different algal cultures, inlet tanks and water pipes leading to the different aquaculture systems. Clear differences were seen between the bacterial community associated with the larvae and in the water from the different aquaculture systems. However, there were high similarities in the community composition between different water samples and between larvae samples collected at different time periods, indicating a high stability in the bacterial communities. Fifty three percent of the sequences from these samples were similar to 16S rRNA gene sequences of members of the gamma-subclass of the Proteobacteria. The different algal cultures had different bacterial communities, however 73 percent of the sequences were similar to 16S rRNA gene sequences of members of the alpha-subclass of the Proteobacteria. Differences in the DGGE profiles were also seen between the samples taken from the inlet tanks and water pipes, indicating a change in the bacterial community composition as the water passed through the pipes. To our knowledge this is the first study investigating bacterial communities associated with Great Scallop larvae in different aquaculture systems including noncultured components.     

Comparison of bacterioplankton communities in three mariculture ponds farming different commercial animals in subtropical Chinese coast

In order to explore the responses of the bacterioplankton community to different types of aquaculture environments, three mariculture ponds comprised of groupers (Epinephelus diacanthus, ED), prawns (Penaeus vannamei, PV), and abalone (Haliotis diversicolor supertexta, HDS) in southeast, coastal China were investigated. The free-living bacterial diversity was analyzed through the construction of 16S rDNA clone library. A total of 203 16S rDNA sequences from three clone libraries were classified into 118 operational taxonomic units (OTUs), of which 51, 31, and 42 OTUs were distributed in the ED, PV, and HDS pond, respectively, with Bacteroidetes (30.6%), Actinobacteria (55.2%), and Cyanobacteria (32.8%) as the dominant division in the respective ponds. Meanwhile, each pond occupied some unique OTUs that were affiliated with uncommon (sub-)phyla, such as candidate OP11 division, Acidobacteria, Deltaproteobacteria, Planctomycetes, and Verrucomicrobia. Bacterial diversity in the ED pond was the richest, followed by the HDS and the PV pond. OTUs of 61.9% and 94.9% have less than 90% and 97% similarity to their nearest neighbors in public databases, respectively. All OTUs were grouped into 67 clusters, covering 11 (sub-)phyla. The OTUs only from single pond distributed in 53 clusters (79.1%), the OTUs shared by two ponds were affiliated with 14 clusters (20.9%), and none of clusters was formed by the OTUs which commonly originated from the three pond libraries, suggesting that the composition of bacterial populations in these ponds were significantly different. These results indicate that the aquatic environment created by different mariculture animals may foster very special and complex bacterial communities. Handling editor: David Philip Hamilton     

Temporal,regional and geochemical drivers of microbial community variation in the melt ponds of the Ross Sea region,Antarctica

To expand the understanding of the poorly described planktonic bacterial communities inhabiting Antarctic meltwater ponds, this study characterized the community composition and identified environmental drivers influencing community structure from a total of 41 meltwater ponds: 37 from the McMurdo Ice Shelf (Bratina Island) and four from a terrestrial locale (Miers Valley) during three austral summers. DNA fingerprinting coupled with in situ pH and conductivity was utilized to select ponds for in-depth nutrient and chemical analysis and high-throughput sequencing of the bacterial 16S rRNA gene V5–V6 hypervariable region. Conductivity was the strongest driver of community structure across all ponds and for all time points; however, other influential factors (pH, climatological, Hg, Fe, and PO₄) were also identified. Unique members of communities (sequences absent in at least one pond) represented a small percentage of total reads but also represented a large proportion of pond biodiversity that was strongly driven by differing environmental variables (Si, B and S). Significant temporal variation in community structure was also identified within the same ponds although major taxa remained present. Miers Valley ponds exhibit greater similarity to Bratina Island ponds rather than between each other, thereby suggesting regional movement of microorganisms. In summary, these data provide the first in-depth investigation of the intra-seasonal and regional variation of the microbial communities inhabiting these ponds and proved that a total of ten cosmopolitan OTUs were the dominant components of ponds throughout all sampling times and locations, their variable relative abundances driving the major dissimilarities in community structure.     

基于Miseq测序技术分析黄颡鱼不同养殖模式下池塘微生物群落结构多样性

利用Miseq测序技术分析了黄颡鱼Pelteobagrus fulvidraco (Richardson)三种养殖模式[(黄颡鱼单养、黄颡鱼混养草鱼(Ctenopharyngodon idellus, Valenciennes)和黄颡鱼混养草鱼、鳙(Aristichthys nobilis, Richardson)、鲢(Hypophthalmichthys molitrix, Valenciennes)]下养殖水体及底泥微生物群落结构多样性。结果显示, 12个样本共获得了655100条合格16S rDNA序列, 每个样本获得的有效序列数目为41256—77508, 可归纳为608—3686个分类操作单元。α多样性指数结果表明, 在三种养殖模式下末期水体的微生物群落丰度和多样性均高于养殖初期, 黄颡鱼混养草鱼模式下水体的群落丰度最高(Chao1指数: 2199.25, ACE指数: 2374.60), 黄颡鱼混养草鱼、鲢、鳙模式下水体微生物群落多样性最高(Shannon指数: 4.88, Simpson指数: 0.021)。样本聚类分析及PcoA主坐标分析结果表明, 黄颡鱼单养及黄颡鱼、草鱼混养模式下的水体和底泥的菌群组成及群落结构相似性较高, 黄颡鱼、草鱼、鲢、鳙混养模式下样本单独形成一类。从门水平的比较分析发现, 所有样本检测到细菌有8门, 其中变形菌门(Proteobacteria)的物种丰度在所有样本中占绝对优势地位。放线菌门(Actinobacteria)在养殖末期升高成为水体中占比第二的优势门, 尤其是黄颡鱼混养草鱼模式下(37.6%)。黄颡鱼在单养模式下, 养殖末期水体拟杆菌门(Bacteroidetes)细菌含量均明显增加(1.95%到10.98%)。从属水平的比较分析发现, 各样本之间的优势属组成有较大差异, 其中黄颡鱼在单养模式下水体样本中气单胞菌属(Aeromonas)在养殖末期丰度占优势(5.81%)。从微生物群落结构和多样性的角度考虑, 黄颡鱼、草鱼、鲢、鳙混养是一种值得推荐的养殖模式。     

Automated approach for ribosomal intergenic spacer analysis of microbial diversity and its application to freshwater bacterial communities.

An automated method of ribosomal intergenic spacer analysis (ARISA) was developed for the rapid estimation of microbial diversity and community composition in freshwater environments. Following isolation of total community DNA, PCR amplification of the 16S-23S intergenic spacer region in the rRNA operon was performed with a fluorescence-labeled forward primer. ARISA-PCR fragments ranging in size from 400 to 1,200 bp were next discriminated and measured by using an automated electrophoresis system. Database information on the 16S-23S intergenic spacer was also examined, to understand the potential biases in diversity estimates provided by ARISA. In the analysis of three natural freshwater bacterial communities, ARISA was rapid and sensitive and provided highly reproducible community-specific profiles at all levels of replication tested. The ARISA profiles of the freshwater communities were quantitatively compared in terms of both their relative diversity and similarity level. The three communities had distinctly different profiles but were similar in their total number of fragments (range, 34 to 41). In addition, the pattern of major amplification products in representative profiles was not significantly altered when the PCR cycle number was reduced from 30 to 15, but the number of minor products (near the limit of detection) was sensitive to changes in cycling parameters. Overall, the results suggest that ARISA is a rapid and effective community analysis technique that can be used in conjunction with more accurate but labor-intensive methods (e.g., 16S rRNA gene cloning and sequencing) when fine-scale spatial and temporal resolution is needed.     

Molecular Analysis of Bacterial Communities and Detection of Potential Pathogens in a Recirculating Aquaculture System for Scophthalmus maximus and Solea senegalensis

The present study combined a DGGE and barcoded 16S rRNA pyrosequencing approach to assess bacterial composition in the water of a recirculating aquaculture system (RAS) with a shallow raceway system (SRS) for turbot (Scophthalmus maximus) and sole (Solea senegalensis). Barcoded pyrosequencing results were also used to determine the potential pathogen load in the RAS studied. Samples were collected from the water supply pipeline (Sup), fish production tanks (Pro), sedimentation filter (Sed), biofilter tank (Bio), and protein skimmer (Ozo; also used as an ozone reaction chamber) of twin RAS operating in parallel (one for each fish species). Our results revealed pronounced differences in bacterial community composition between turbot and sole RAS, suggesting that in the systems studied there is a strong species-specific effect on water bacterial communities. Proteobacteria was the most abundant phylum in the water supply and all RAS compartments. Other important taxonomic groups included the phylum Bacteriodetes. The saltwater supplied displayed a markedly lower richness and appeared to have very little influence on bacterial composition. The following potentially pathogenic species were detected: Photobacterium damselae in turbot (all compartments), Tenacibaculum discolor in turbot and sole (all compartments), Tenacibaculum soleae in turbot (all compartments) and sole (Pro, Sed and Bio), and Serratia marcescens in turbot (Sup, Sed, Bio and Ozo) and sole (only Sed) RAS. Despite the presence of these pathogens, no symptomatic fish were observed. Although we were able to identify potential pathogens, this approach should be employed with caution when monitoring aquaculture systems, as the required phylogenetic resolution for reliable identification of pathogens may not always be possible to achieve when employing 16S rRNA gene fragments.     

净化养殖水体紫色非硫光合细菌的筛选与鉴定

本研究从杭州养鱼塘水样及底泥样品中富集分离得到三株紫色非硫光合细菌,分别命名为HZ-3,HZ-4,HZ-5。 通过比较这三株菌对鱼、虾养殖水体的净化效果,筛选出菌株HZ-5 净化能力较强 ,经过5天的处理,该菌株使养鱼塘水样的COD 降低24.87%;使养虾池塘水样的COD 降低 36.99%;使养鱼塘水样的亚硝态氮的降解率达到97.79%。对菌株HZ-5进行了形态学观察、生理生化鉴定、活细胞吸收光谱以及16S rDNA序列分析。16S rDNA序列分析结果表明该菌株与沼泽红假单胞菌的16S rDNA序列有高达99％的同源性,结合形态特征和生理生化特性以及活细胞吸收光谱特征等,将其鉴定为沼泽红假单胞菌（Rhodopseudomonas palustris）。     

海水混养池塘虾蛤肠道与养殖环境的微生物多样性

【背景】海水混养池塘环境微生物以及动物肠道微生物的群落结构已有研究,但对混养环境中多品种动物肠道与环境微生物群落的关系尚未见报道。【目的】研究海水虾蛤混养环境中微生物多样性以及与养殖动物健康之间的关系。【方法】采用Illumina高通量测序技术测定冬季莆田市北江养殖区2个混养池塘中水体、底泥以及虾蛤肠道的菌群结构。【结果】同一池塘水体与底泥之间、不同池塘水体或底泥之间的微生物结构存在一定的差异;同一养殖区2个混养池塘虾与蛤肠道微生物结构之间具有极高的相似性,与养殖环境存在显著的差异。微生物多样性和丰富度差异很大,表现出底泥水体肠道;虾蛤肠道微生物以厚壁细菌和γ-变形细菌为主;池塘水体以放线菌、α-变形细菌以及拟杆菌为主,底泥以γ-变形细菌和δ-变形细菌为主。养殖动物肠道微生物主要优势种为乳球菌属和假单胞菌属,池塘环境内存在较高丰度的黄杆菌类潜在致病菌,而在虾和蛤的肠道中基本未检出。2个池塘底泥硫还原细菌含量较高,增加了底质产生硫化氢等有害物质的风险。【结论】比较混养池塘中水体、底泥以及虾蛤肠道三者之间微生物群落结构的差异,揭示虾、贝混养模式微生物与养殖环境的关系,为池塘养殖虾、贝疾病防治和混养结构的优化提供参考。     

Coupling 16S-ITS rDNA clone libraries and automated ribosomal intergenic spacer analysis to show marine microbial diversity: development and application to a time series

We outline an approach to simultaneously assess multilevel microbial diversity patterns utilizing 16S-ITS rDNA clone libraries coupled with automated ribosomal intergenic spacer analysis (ARISA). Sequence data from 512 clones allowed estimation of ARISA fragment lengths associated with bacteria in a coastal marine environment. We matched 92% of ARISA peaks (each comprising >1% total amplified product) with corresponding lengths from clone libraries. These peaks with putative identification accounted for an average of 83% of total amplified community DNA. At 16S rDNA similarities <98%, most taxa displayed differences in ARISA fragment lengths >10 bp, readily detectable and suggesting ARISA resolution is near the 'species' level. Prochlorococcus abundance profiles from ARISA were strongly correlated (r2=0.86) to Prochlorococcus cell counts, indicating ARISA data are roughly proportional to actual cell abundance within a defined taxon. Analysis of ARISA profiles for 42 months elucidated patterns of microbial presence and abundance providing insights into community shifts and ecological niches for specific organisms, including a coupling of ecological patterns for taxa within the Prochlorococcus, the Gamma Proteobacteria and Actinobacteria. Clade-specific ARISA protocols were developed for the SAR11 and marine cyanobacteria to resolve ambiguous identifications and to perform focused studies. 16S-ITS data allowed high-resolution identification of organisms by ITS sequence analysis, and examination of microdiversity.     

Suitability of partial 16S ribosomal RNA gene sequence analysis for the identification of dangerous bacterial pathogens

AIMS: In a bioterrorism event a rapid tool is needed to identify relevant dangerous bacteria. The aim of the study was to assess the usefulness of partial 16S rRNA gene sequence analysis and the suitability of diverse databases for identifying dangerous bacterial pathogens. METHODS AND RESULTS: For rapid identification purposes a 500-bp fragment of the 16S rRNA gene of 28 isolates comprising Bacillus anthracis, Brucella melitensis, Burkholderia mallei, Burkholderia pseudomallei, Francisella tularensis, Yersinia pestis, and eight genus-related and unrelated control strains was amplified and sequenced. The obtained sequence data were submitted to three public and two commercial sequence databases for species identification. The most frequent reason for incorrect identification was the lack of the respective 16S rRNA gene sequences in the database. CONCLUSIONS: Sequence analysis of a 500-bp 16S rDNA fragment allows the rapid identification of dangerous bacterial species. However, for discrimination of closely related species sequencing of the entire 16S rRNA gene, additional sequencing of the 23S rRNA gene or sequencing of the 16S-23S rRNA intergenic spacer is essential. SIGNIFICANCE AND IMPACT OF THE STUDY: This work provides comprehensive information on the suitability of partial 16S rDNA analysis and diverse databases for rapid and accurate identification of dangerous bacterial pathogens.     

Bacterial diversity,community structure and potential growth rates along an estuarine salinity gradient

Very little is known about growth rates of individual bacterial taxa and how they respond to environmental flux. Here, we characterized bacterial community diversity, structure and the relative abundance of 16S rRNA and 16S rRNA genes (rDNA) using pyrosequencing along the salinity gradient in the Delaware Bay. Indices of diversity, evenness, structure and growth rates of the surface bacterial community significantly varied along the transect, reflecting active mixing between the freshwater and marine ends of the estuary. There was no positive correlation between relative abundances of 16S rRNA and rDNA for the entire bacterial community, suggesting that abundance of bacteria does not necessarily reflect potential growth rate or activity. However, for almost half of the individual taxa, 16S rRNA positively correlated with rDNA, suggesting that activity did follow abundance in these cases. The positive relationship between 16S rRNA and rDNA was less in the whole water community than for free-living taxa, indicating that the two communities differed in activity. The 16S rRNA:rDNA ratios of some typically marine taxa reflected differences in light, nutrient concentrations and other environmental factors along the estuarine gradient. The ratios of individual freshwater taxa declined as salinity increased, whereas the 16S rRNA:rDNA ratios of only some typical marine bacteria increased as salinity increased. These data suggest that physical and other bottom-up factors differentially affect growth rates, but not necessarily abundance of individual taxa in this highly variable environment.     

Phylogenetic characterization and in situ detection of bacterial communities associated with seahorses (Hippocampus guttulatus) in captivity

Although there are several studies describing bacteria associated with marine fish, the bacterial composition associated with seahorses has not been extensively investigated since these studies have been restricted to the identification of bacterial pathogens. In this study, the phylogenetic affiliation of seahorse-associated bacteria was assessed by 16S rRNA gene sequencing of cloned DNA fragments. Fluorescence in situ hybridization (FISH) was used to confirm the presence of the predominant groups indicated by 16S rRNA analysis. Both methods revealed that Vibrionaceae was the dominant population in Artemia sp. (live prey) and intestinal content of the seahorses, while Rhodobacteraceae was dominant in water samples from the aquaculture system and cutaneous mucus of the seahorses. To our knowledge, this is the first time that bacterial communities associated with healthy seahorses in captivity have been described.     

Network Analysis Highlights Complex Interactions between Pathogen,Host and Commensal Microbiota

Interactions between bacteria and their host represent a full continuum from pathogenicity to mutualism. From an evolutionary perspective, host-bacteria relationships are no longer considered a two-component system but rather a complex network. In this study, we focused on the relationship between brook charr (Salvelinus fontinalis) and bacterial communities developing on skin mucus. We hypothesized that stressful conditions such as those occurring in aquaculture production induce shifts in the bacterial community of healthy fish, thus allowing pathogens to cause infections. The results showed that fish skin mucus microbiota taxonomical structure is highly specific, its diversity being partly influenced by the surrounding water bacterial community. Two types of taxonomic co-variation patterns emerged across 121 contrasted communities’ samples: one encompassing four genera well known for their probiotic properties, the other harboring five genera mostly associated with pathogen species. The homeostasis of fish bacterial community was extensively disturbed by induction of physiological stress in that both: 1) the abundance of probiotic-like bacteria decreased after stress exposure; and 2) pathogenic bacteria increased following stress exposure. This study provides further insights regarding the role of mutualistic bacteria as a primary host protection barrier.     

Flexible antipredator behavior in a dragonfly species that coexists with different predator types

Two of the main predators of dragonfly larvae, insectivorous fish in communities with fish and large dragonfly species in communities without fish, differ markedly in their mode of predation. In general, dragonfly species coexist successfully with one predator or the other, but larvae of the dragonfly Pachydiplax longipennis can coexist successfully with both. I examined the behavioral response of these larvae to a simulated predator attack to determine whether their response (1) differs between the two communities, and (2) is sensitive to waterborne cues about the type of predator present. I compared larvae from two different communities: fish ponds where insectivorous fish were the top predators, and fish-free ponds where large dragonflies were the top predators. Larvae from fish-free ponds actively moved away from an attack significantly more than did larvae from fish ponds, provided each was attacked in its native pond water. Larvae collected from a fish-free pond but then attacked in fish water moved less than did controls (larvae attacked in fish-free water). Likewise, larvae collected from a fish pond but attacked in fish-free water moved more than did controls (larvae attacked in fish water). Larvae attacked first in water from their native pond and then in water from the contrasting pond changed their response in the expected direction. These results indicate that escape behavior in P. longipennis differs between communities with different predator types and is sensitive to waterborne cues in a manner consistent with the mode of predation employed by each predator.     

Fine-scale spatial patterns in bacterial community composition and function within freshwater ponds

The extent to which non-host-associated bacterial communities exhibit small-scale biogeographic patterns in their distribution remains unclear. Our investigation of biogeography in bacterial community composition and function compared samples collected across a smaller spatial scale than most previous studies conducted in freshwater. Using a grid-based sampling design, we abstracted 100+ samples located between 3.5 and 60 m apart within each of three alpine ponds. For every sample, variability in bacterial community composition was monitored using a DNA-fingerprinting methodology (automated ribosomal intergenic spacer analysis) whereas differences in bacterial community function (that is, carbon substrate utilisation patterns) were recorded from Biolog Ecoplates. The exact spatial position and dominant physicochemical conditions (for example, pH and temperature) were simultaneously recorded for each sample location. We assessed spatial differences in bacterial community composition and function within each pond and found that, on average, community composition or function differed significantly when comparing samples located >20 m apart within any pond. Variance partitioning revealed that purely spatial variation accounted for more of the observed variability in both bacterial community composition and function (range: 24–38% and 17–39%) than the combination of purely environmental variation and spatially structured environmental variation (range: 17–32% and 15–20%). Clear spatial patterns in bacterial community composition, but not function were observed within ponds. We therefore suggest that some of the observed variation in bacterial community composition is functionally ‘redundant''. We confirm that distinct bacterial communities are present across unexpectedly small spatial scales suggesting that populations separated by distances of >20 m may be dispersal limited, even within the highly continuous environment of lentic water.     

Bacterial population dynamics and community structure in a pharmaceutical manufacturing water supply system determined by real-time PCR and PCR-denaturing gradient gel electrophoresis

AIMS: To control bacteria in the pharmaceutical water supply system. METHODS AND RESULTS: Bacteria were enumerated by conventional culture method and fluorescent vital staining. Activated carbon treatment and storage in a tank provided favourable environments for bacterial growth. The bacterial population of the water in both the post-activated carbon treatment and the tank was analysed by denaturing gradient gel electrophoresis (DGGE) with PCR-amplified 16S rDNA fragments including V6, -7, and -8 regions. The bacterial community structure in activated carbon treated water was stable throughout the year. Several kinds of bacteria such as genus Aquaspirillum and Methylobacterium were found in the water after activated carbon treatment. The bacterial community structure was changed and other bacteria such as mycobacteria were detected after storage. Mycobacteria were quantified in water samples using real-time PCR targeting the 16S rDNA gene. Mycobacteria were also detected in tap water and their number was increased 10(3)-10(4)-fold higher after storage. CONCLUSION: These data suggest the importance of culture-independent methods for quality control of water used in pharmaceutical manufacturing. SIGNIFICANCE AND IMPACT OF THE STUDY: Critical steps and specified bacteria that should be controlled in the water supply system were recognized by culture-independent methods. These data will enable effective control of water used in the pharmaceutical industry.     

Molecular diversity of the ammonia-oxidizing bacteria community in disused tin-mining ponds located within Kampar,Perak, Malaysia

Disused tin-mining ponds make up a significant amount of water bodies in Malaysia particularly at the Kinta Valley in the state of Perak where tin-mining activities were the most extensive, and these abundantly available water sources are widely used in the field of aquaculture and agriculture. However, the natural ecology and physicochemical conditions of these ponds, many of which have been altered due to secondary post-mining activities, remains to be explored. As ammonia-oxidizing bacteria (AOB) are directly related to the nutrient cycles of aquatic environments and are useful bioindicators of environmental variations, the focus of this study was to identify AOBs associated with disused tin-mining ponds that have a history of different secondary activities in comparison to ponds which were left untouched and remained as part of the landscape. The 16S rDNA gene was used to detect AOBs in the sediment and water sampled from the three types of disused mining ponds, namely ponds without secondary activity, ponds that were used for lotus cultivation and post-aquaculture ponds. When the varying pond types were compared with the sequence and phylogenetic analysis of the AOB clone libraries, both Nitrosomonas and Nitrosospira-like AOB were detected though Nitrosospira spp. was seen to be the most ubiquitous AOB as it was present in all ponds types. However, AOBs were not detected in the sediments of idle ponds. Based on rarefaction analysis and diversity indices, the disused mining pond with lotus culture indicated the highest richness of AOBs. Canonical correspondence analysis indicated that among the physicochemical properties of the pond sites, TAN and nitrite were shown to be the main factors that influenced the community structure of AOBs in these disused tin-mining ponds.