Evaluation of the microbial diversity of denitrifying bacteria in batch reactor

Maintinguer, Sandra Imaculada; Sakamoto, Isabel Kimiko; Adorno, Maria Ângela Tallarico; Varesche, Maria Bernadete Amâncio

doi:10.1590/s0104-66322013000300004

Cited by 26 publications

(13 citation statements)

References 25 publications

(35 reference statements)

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“…The genus Comamonas has been extensively studied for various bioremediations application and was reported to be a natural pollutant degrading microbe. Both of C. nitrativorans and C. denitrificans isolated from denitrification of activated sludge were reported to convert nitrate to nitrogen (Xing et al 2010;Maintinguer et al 2013), while C.tertosteroni can reduce heavy metals selenite (Zheng et al 2014). C. terrae strain A3-3 isolated from tannery wastes and agricultural soils have shown to potentially oxidize arsenite to arsenate (Chitpirom et al 2009).…”

Section: Isolation and Identification Of Methylene Blue Decolorizing mentioning

confidence: 99%

Methylene blue decolorizing bacteria isolated from water sewage in Yogyakarta, Indonesia

et al. 2020

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Abstract. Michelle, Siregar RAN, Sanjaya A, Jap L, Pinontoan R. 2020. Methylene blue decolorizing bacteria isolated from water sewage in Yogyakarta, Indonesia. Biodiversitas 21: 1136-1141. The textile industry contributes to water pollution issues all over the world. One of the most commonly applied cationic dye in the textile industry is methylene blue. This study aimed to isolate bacteria with the potential to decolorize methylene blue from dye contaminated sewage water located in Kulon Progo District, Yogyakarta, where several textile industries within the proximity, are located. Characterizations of bacterial candidates were done morphologically and biochemically. Molecular identification was conducted by 16S rRNA sequencing. The ability of isolates to decolorize methylene blue was observed by the reduction of methylene blue’s maximum absorption at the wavelength of 665 nm. The results showed that isolates were identified as Comamonas aquatica and Ralstonia mannitolilytica. C. aquatica PMB-1 and R. mannitolilytica PMB-2 isolates were able to decolorize methylene blue with decolorization percentage of 67.9% and 60.3%, respectively when incubated for 96 hours at 37°C. These findings present information on the capability of the genus Ralstonia and Comamonas to decolorize methylene blue cationic dye.

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Section: Isolation and Identification Of Methylene Blue Decolorizing mentioning

confidence: 99%

Methylene blue decolorizing bacteria isolated from water sewage in Yogyakarta, Indonesia

et al. 2020

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“…The combination of the positive responses (no blue precipitate formation) and negative responses (blue precipitate formation) was made by determination of the denitrification process (Maintinguer et al . ).…”

Section: Methodsmentioning

confidence: 97%

“…The estimation of DB was confirmed by determination of nitrate in the sample under the formation of the quinoidiamonium (blue precipitate), by the addition (twothree drops) of diphenylamine acid solution (2 g L À1 H 2 SO 4 ). The combination of the positive responses (no blue precipitate formation) and negative responses (blue precipitate formation) was made by determination of the denitrification process (Maintinguer et al 2013).…”

Section: Microbiologic Analysis Mpn Assaysmentioning

confidence: 99%

Diversity of anaerobic bacteria in sediments from a subtropical reservoir

et al. 2016

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A descriptive analysis of microbial communities from two different sediment locations in a subtropical reservoir was undertaken, using DGGE and 16S rRNA gene clone library. This study evaluated bacterial diversity in the sediment of a subtropical reservoir, based on quantitative and qualitative analyses of sulphate‐reducing bacteria (SRB), denitrifying bacteria (DB) and hydrogen‐producing bacteria (HPB). The sediment samples were taken from a subtropical reservoir (Ibiúna, SP, Brazil), being collected at two contrasting sites, including (A) at a 4 m depth and (B) at an 11 m depth of the water column. The anaerobic bacteria population density in the sediment was estimated with the most probable number (MPN) method. The microbial diversity of the sediment was assessed by molecular biology analyses for the domain Bacteria. Increased cell count numbers were observed in sample A for DB. The count for sample B was higher for SRB and HPB. Both sediment communities (A and B samples) exhibited a high diversity. They were similar to the phyla Proteobacteria, Chloroflexi, Firmicutes, Actinobacteria, Cyanobacteria, Fusobacteria, Deferribacteres, Verrucomicrobia and uncultivated bacteria. The environmental conditions of sediments from tropical climates were mainly sunlight during the day and temperatures around 25 °C, which would favour the maintenance of nutrients and the available organic matter for establishing the anaerobic bacteria populations. The microbial diversity observed for both samples indicates new possibilities for application of the sediment reservoir in regard to biotechnological processes such as the operation of anaerobic reactors for wastewater and toxic compound treatment, bioenergy generation and production of biogases such as hydrogen and methane.

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“…However, although specific and reliable, these techniques have high costs. Culture methods based on the Most Probable Number (MPN) technique have been widely used for several decades and remain the standard method for quantification of SRB (Luna, Costa, Gonçalves, & Almeida, 2008) and other microorganisms (Maintinguer, Sakamoto, Adorno, & Varesche, 2013).…”

Section: Introductionmentioning

confidence: 99%

Phylogenetic characterization and quantification by Most Probable Number of the microbial communities of biomass from the Upflow Anaerobic Sludge Blanket Reactor under sulfidogenic conditions

2019

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Granulated sludge from anaerobic reactors is constituted by the microbial consortia responsible for the degradation of different substrate present in wastewaters. This study characterized anaerobic microorganisms in a granular sludge from a Uasb reactor (Upflow Anaerobic Sludge Blanket) by Most Probable Number (MPN) technique and method of cloning and sequencing the 16S rDNA gene. The main objective of this study was to quantify and to identify the microorganisms in two different culture media containing sulfate (Posgate C [6.0 sodium lactate and 3.13 g L-1 sodium sulfate] and Zinder [2.24 sodium lactate and 0.96 g L-1 sodium sulfate]). Microorganisms quantified by Postgate C and Zinder media were: 9.30x10 10 and 7.50x10 11 MPN mL-1 for general anaerobic bacteria; 4.30x10 8 and 2.10x10 8 MPN mL-1 for sulfate reducing bacteria; and 1.20x10 8 and 1.5x10 8 MPN mL-1 for methane producing archaea, respectively. Bacteria identified by 16S rDNA gene sequencing from the MPN in both culture media were related to the phyla Firmicutes and Proteobacteria. The conditions of Postgate C culture medium favored the sulfate-reducing bacteria and the Zinder culture medium favored the general anaerobic bacteria.

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Evaluation of the microbial diversity of denitrifying bacteria in batch reactor

Cited by 26 publications

References 25 publications

Methylene blue decolorizing bacteria isolated from water sewage in Yogyakarta, Indonesia

Methylene blue decolorizing bacteria isolated from water sewage in Yogyakarta, Indonesia

Diversity of anaerobic bacteria in sediments from a subtropical reservoir

Phylogenetic characterization and quantification by Most Probable Number of the microbial communities of biomass from the Upflow Anaerobic Sludge Blanket Reactor under sulfidogenic conditions

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