Molecular Fingerprinting of Cyanobacteria from River Biofilms as a Water Quality Monitoring Tool

被引:32
|
作者
Loza, Virginia [1 ]
Perona, Elvira [1 ]
Mateo, Pilar [1 ]
机构
[1] Univ Autonoma Madrid, Fac Ciencias, Dept Biol, E-28049 Madrid, Spain
关键词
GRADIENT GEL-ELECTROPHORESIS; BACTERIAL COMMUNITY COMPOSITION; TEMPORAL-CHANGES; DIVERSITY; ASSEMBLAGES; QUANTIFICATION; VARIABILITY; ECOSYSTEMS; MICROSCOPY; DISTANCE;
D O I
10.1128/AEM.03351-12
中图分类号
Q81 [生物工程学(生物技术)]; Q93 [微生物学];
学科分类号
071005 ; 0836 ; 090102 ; 100705 ;
摘要
Benthic cyanobacterial communities from Guadarrama River (Spain) biofilms were examined using temperature gradient gel electrophoresis (TGGE), comparing the results with microscopic analyses of field-fixed samples and the genetic characterization of cultured isolates from the river. Changes in the structure and composition of cyanobacterial communities and their possible association with eutrophication in the river downstream were studied by examining complex TGGE patterns, band extraction, and subsequent sequencing of 16S rRNA gene fragments. Band profiles differed among sampling sites depending on differences in water quality. The results showed that TGGE band richness decreased in a downstream direction, and there was a clear clustering of phylotypes on the basis of their origins from different locations according to their ecological requirements. Multivariate analyses (cluster analysis and canonical correspondence analysis) corroborated these differences. Results were consistent with those obtained from microscopic observations of field-fixed samples. According to the phylogenetic analysis, morphotypes observed in natural samples were the most common phylotypes in the TGGE sequences. These phylotypes were closely related to Chamaesiphon, Aphanocapsa, Pleurocapsa, Cyanobium, Pseudanabaena, Phormidium, and Leptolyngbya. Differences in the populations in response to environmental variables, principally nutrient concentrations (dissolved inorganic nitrogen and soluble reactive phosphorus), were found. Some phylotypes were associated with low nutrient concentrations and high levels of dissolved oxygen, while other phylotypes were associated with eutrophic-hypertrophic conditions. These results support the view that once a community has been characterized and its genetic fingerprint obtained, this technique could be used for the purpose of monitoring rivers.
引用
收藏
页码:1459 / 1472
页数:14
相关论文
共 30 条
  • [1] Monitoring of cyanobacteria for water quality: doing the necessary right or wrong?
    Moustaka-Gouni, M.
    Sommer, U.
    Katsiapi, M.
    Vardaka, E.
    MARINE AND FRESHWATER RESEARCH, 2020, 71 (05) : 717 - 724
  • [2] Epilithic cyanobacterial communities and water quality: an alternative tool for monitoring eutrophication in the Alberche River (Spain)
    Perona, E
    Bonilla, I
    Mateo, P
    JOURNAL OF APPLIED PHYCOLOGY, 1998, 10 (02) : 183 - 191
  • [3] Epilithic cyanobacterial communities and water quality: an alternative tool for monitoring eutrophication in the Alberche River (Spain)
    E. Perona
    I. Bonilla
    P. Mateo
    Journal of Applied Phycology, 1998, 10 : 183 - 191
  • [4] Diatom metabarcoding as a tool to assess the water quality of two large tributaries of the Danube River
    Vidakovic, Danijela
    Mayombo, Ntambwe Albert Serge
    Castellanos, Andrea Burfeid
    Kloster, Michael
    Beszteri, Bank
    ECOLOGICAL INDICATORS, 2024, 168
  • [5] Monitoring and evaluation of the water quality of Budeasa Reservoir-Arges River, Romania
    Ion, Antoanela
    Vladescu, Luminita
    Badea, Irinel Adriana
    Comanescu, Laura
    ENVIRONMENTAL MONITORING AND ASSESSMENT, 2016, 188 (09)
  • [6] Diversity characterization of bacteria and fungi in water, sediments and biofilms from Songhua River in Northeast China
    Li M.
    Zhao T.
    Liang D.
    Dong D.
    Guo Z.
    Hua X.
    Zhong S.
    Chemosphere, 2023, 338
  • [7] Net Ecosystem Production of a River Relying on Hydrology, Hydrodynamics and Water Quality Monitoring Stations
    Rojano, Fernando
    Huber, David H.
    Ugwuanyi, Ifeoma R.
    Noundou, Vadesse Lhilhi
    Kemajou-Tchamba, Andrielle Larissa
    Chavarria-Palma, Jesus E.
    WATER, 2020, 12 (03)
  • [8] Ground and river water quality monitoring using a smartphone-based pH sensor
    Dutta, Sibasish
    Sarma, Dhrubajyoti
    Nath, Pabitra
    AIP ADVANCES, 2015, 5 (05):
  • [9] Changing water quality of a major rainfed river system of western India: insights from the Bhima river using water quality index
    Yash, Anwesha
    Ghosh, Anwesha
    Arora, Roshni
    Kumar, Chakresh
    Bhadury, Punyasloke
    ENVIRONMENTAL RESEARCH COMMUNICATIONS, 2024, 6 (10):
  • [10] Assessing the Impacts of Recent Crop Expansion on Water Quality in the Missouri River Basin Using the Soil and Water Assessment Tool
    Chen, Pan
    Yuan, Yongping
    Li, Wenhong
    LeDuc, Stephen D.
    Lark, Tyler J.
    Zhang, Xuesong
    Clark, Christopher
    JOURNAL OF ADVANCES IN MODELING EARTH SYSTEMS, 2021, 13 (06)