Unraveling microbial community by next-generation sequencing in living membrane bioreactors for wastewater treatment

被引:10
|
作者
Cabreros, Carlo [1 ]
Corpuz, Mary Vermi Aizza [1 ,2 ]
Castrogiovanni, Fabiano [2 ]
Borea, Laura [2 ]
Sandionigi, Anna [3 ]
Vigliotta, Giovanni [4 ]
Ballesteros Jr, Florencio [1 ,5 ]
Puig, Sebastia [6 ]
Hasan, Shadi W. [7 ]
V. Korshin, Gregory [8 ]
Belgiorno, Vincenzo [2 ]
Buonerba, Antonio [2 ,4 ]
Naddeo, Vincenzo [2 ]
机构
[1] Univ Philippines, Natl Grad Sch Engn, Environm Engn Program, Quezon City 1101, Philippines
[2] Univ Salerno, Dept Civil Engn, Sanitary Environm Engn Div SEED, Via Giovanni Paolo II-132, I-84084 Fisciano, Italy
[3] Univ Milano Bicocca, Piazza Ateneo Nuovo, I-20126 Milan, Italy
[4] Univ Salerno, Dept Chem & Biol Adolfo Zambelli, Via Giovanni Paolo II-132, I-84084 Fisciano, Italy
[5] Univ Philippines, Dept Chem Engn, Quezon City 1101, Philippines
[6] Univ Girona, Inst Environm, Lab Chem & Environm Engn LEQUiA, Carrer Maria Aurelia Capmany, E-17003 Girona, Spain
[7] Khalifa Univ Sci & Technol, Ctr Membranes & Adv Water Technol CMAT, Dept Chem Engn, POB 127788, Abu Dhabi, U Arab Emirates
[8] Univ Washington, Dept Civil & Environm Engn, Box 352700, Seattle, WA 98105 USA
关键词
Encapsulated living membrane; Electro-encapsulated living membrane bioreactor; Microbial growth; Electrochemical process; Fouling mitigation; DENITRIFYING KLEBSIELLA-PNEUMONIAE; ACTIVATED-SLUDGE; PHOSPHORUS REMOVAL; SP-NOV; HETEROTROPHIC NITRIFICATION; SIMULTANEOUS NITROGEN; EMENDED DESCRIPTION; DIVERSITY; BACTERIA; VARIICOLA;
D O I
10.1016/j.scitotenv.2023.163965
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
This study delves into the microbial community complexity and its role in self-forming dynamic membrane (SFDM) systems, designed to remove nutrients and pollutants from wastewater, by means of the analysis of Next-Generation Sequencing (NGS) data. In these systems, microorganisms are naturally incorporated into the SFDM layer, which acts as a biological and physical filter. The microorganisms present in an innovative and highly efficient aerobic, electrochemically enhanced, encapsulated SFDM bioreactor were studied to elucidate the nature of the dominant microbial communities present in sludge and in encapsulated SFDM, patented as living membrane (R) (LM) of the experimental setup. The results were compared to those obtained from the microbial communities found in similar experimental reactors without an applied electric field. The data gathered from the NGS microbiome profiling showed that the microbial consortia found in the experimental systems are comprised of archaeal, bacterial, and fungal communities. However, the distribution of the microbial communities found in e-LMBR and LMBR had significant differences. The results showed that the presence of an intermittently applied electric field in e-LMBR promotes the growth of some types of microorganisms (mainly electroactive microorganisms) responsible for the highly efficient treatment of the wastewater and for the mitigation of the membrane fouling found for those bioreactors.
引用
收藏
页数:11
相关论文
共 50 条
  • [31] Next-Generation Sequencing
    Xiong, Momiao
    Zhao, Zhongming
    Arnold, Jonathan
    Yu, Fuli
    JOURNAL OF BIOMEDICINE AND BIOTECHNOLOGY, 2010,
  • [32] Next-generation sequencing
    Jorge S Reis-Filho
    Breast Cancer Research, 11
  • [33] Next-Generation Sequencing
    Le Gallo, Matthieu
    Lozy, Fred
    Bell, Daphne W.
    MOLECULAR GENETICS OF ENDOMETRIAL CARCINOMA, 2017, 943 : 119 - 148
  • [34] Next-generation sequencing
    Reis-Filho, Jorge S.
    BREAST CANCER RESEARCH, 2009, 11
  • [35] Next-generation Sequencing for Surveillance of Antimicrobial Resistance and Pathogenicity in Municipal Wastewater Treatment Plants
    Cuetero-Martinez, Yovany
    de los Cobos-Vasconcelos, Daniel
    Aguirre-Garrido, Jose Felix
    Lopez-Vidal, Yolanda
    Noyola, Adalberto
    CURRENT MEDICINAL CHEMISTRY, 2023, 30 (01) : 5 - 29
  • [37] Potential of complex microbial community in aerobic granular sludge as a bio-startup approach for next-generation wastewater treatment
    Al-Gheethi, Adel
    Noman, Efaq Ali
    Alsahari, Mohammed
    Al-Maqtari, Qais
    Vo, Dai-Viet N.
    APPLIED WATER SCIENCE, 2024, 14 (10)
  • [38] APPLICATIONS OF NEXT-GENERATION SEQUENCING Sequencing technologies - the next generation
    Metzker, Michael L.
    NATURE REVIEWS GENETICS, 2010, 11 (01) : 31 - 46
  • [39] NEXT-GENERATION SEQUENCING AND RISK STRATIFICATION IN LIVING KIDNEY TRANSPLANTATION
    Lehmann, Claudia
    Muench, Johannes
    Doxiadis, Ilias
    HLA, 2022, 100 : 10 - 10
  • [40] NGSNGS: next-generation simulator for next-generation sequencing data
    Henriksen, Rasmus Amund
    Zhao, Lei
    Korneliussen, Thorfinn Sand
    BIOINFORMATICS, 2023, 39 (01)