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Year 2020, Volume: 35 Issue: 2, 52 - 56, 13.03.2020

E. Gözde Özbayram Latife Köker Reyhan Akçaalan Orhan İnce Meriç Albay

https://doi.org/10.26650/ASE2020652073

Abstract

References

  • Akçaalan, R., Albay, M., Gürevin, C., & Çevik, F. (2007). The influence of environmental conditions on the morphological variability of phytoplankton in an oligo-mesotrophic Turkish lake. Annales de Limnologie - International Journal of Limnology, 43(1), 21–28. [CrossRef]
  • Akçaalan, R., Albay, M., Koker, L., Baudart, J., Guillebault, D., Fischer, S., Medlin, L. K. (2018). Seasonal dynamics of freshwater pathogens as measured by microarray at Lake Sapanca, a drinking water source in the north-eastern part of Turkey. Environmental Monitoring and Assessment, 190(1). [CrossRef]
  • Akçaalan, R., Köker, L., Gürevin, C., & Albay, M. (2014). Planktothrix rubescens: A perennial presence and toxicity in Lake Sapanca. Turkish Journal of Botany, 38(4), 782–789. [CrossRef]
  • Altuğ, G., Yardimci, C. H., Okgerman, H., & Tarkan, S. A. (2006). Levels of Bacterial Metabolic Activity, Indicator (Coliform, Escherichia coli) and Pathogen Bacteria (Salmonella spp.) in the Surface Water of Sapanca Lake, Turkey. Journal of Black Sea / Mediterranean Environment, 12(1), 67–77.
  • Berg, K. A., Lyra, C., Sivonen, K., Paulin, L., Suomalainen, S., Tuomi, P., & Rapala, J. (2009). High diversity of cultivable heterotrophic bacteria in association with cyanobacterial water blooms. ISME Journal, 3(3), 314–325. [CrossRef]
  • Bolger, A. M., Lohse, M., & Usadel, B. (2014). Trimmomatic: A flexible trimmer for Illumina sequence data. Bioinformatics, 30(15), 2114– 2120. [CrossRef]
  • Buchan, A., LeCleir, G. R., Gulvik, C. A., & González, J. M. (2014). Master recyclers: features and functions of bacteria associated with phytoplankton blooms. Nature Reviews. Microbiology, 12(10), 686– 698. [CrossRef]
  • Cai, H., Jiang, H., Krumholz, L. R., & Yang, Z. (2014). Bacterial community composition of size-fractioned aggregates within the phycosphere of cyanobacterial blooms in a eutrophic freshwater lake. PLoS ONE, 9(8). [CrossRef]
  • Callahan, B. J., McMurdie, P. J., Rosen, M. J., Han, A. W., Johnson, A. J. A., & Holmes, S. P. (2016). DADA2: High-resolution sample inference from Illumina amplicon data. Nature Methods, 13(7), 581–583. [CrossRef]
  • Caporaso, J. G., Kuczynski, J., Stombaugh, J., Bittinger, K., Bushman, F. D., Costello, E. K., Knight, R. (2010). QIIME allows analysis of highthroughput community sequencing data. Nature Methods, 7(5), 335– 336. [CrossRef]
  • Çiftçi Türetken, P., Altuğ, G., Çardak, M., & Güneş, K. (2018). Sapanca Gölü’nden İzole Edilen Bakteri Suşlarının Petrol Hidrokarbonlarını Parçalama Yetenekleri. Kahramanmaraş Sütçü İmam Üniversitesi Doğa Bilimleri Dergisi, 21(4), 535–544. [CrossRef]
  • Edgar, R. C. (2010). Supplementary Material - Search and clustering orders of magnitude faster than BLAST. Bioinformatics, 26(19), 2460– 2461. [CrossRef]
  • Eiler, A., & Bertilsson, S. (2004). Composition of freshwater bacterial communities associated with cyanobacterial blooms in four Swedish lakes. Environmental Microbiology, 6(12), 1228–1243. [CrossRef]
  • Eiler, A., Bertilsson, S., & Centre, E. B. (2007). Flavobacteria Blooms in Four Eutrophic Lakes: Linking Population Dynamics of Freshwater Bacterioplankton to Resource Availability †, 73(11), 3511–3518. [CrossRef]
  • Leroy, S. A. G., & Albay, M. (2010). Palynomorphs of brackish and marine species in cores from the freshwater Lake Sapanca, NW Turkey. Review of Palaeobotany and Palynology, 160(3–4), 181–188. [CrossRef]
  • Lezcano, M. A., Velazquez, D., Quesada, A., & El-shehawy, R. (2017). Diversity and temporal shifts of the bacterial community associated with a toxic cyanobacterial bloom : An interplay between microcystin producers and degraders. Water Research, 125, 52–61. [CrossRef]
  • Liu, M., Liu, L., Chen, H., Yu, Z., Yang, J. R., Xue, Y., Huang, B., Yang, J. (2019). Community dynamics of free-living and particle-attached bacteria following a reservoir Microcystis bloom. Science of the Total Environment, 660, 501–511. [CrossRef]
  • Nakatsu, C. H., Byappanahalli, M. N., & Nevers, M. B. (2019). Bacterial Community 16S rRNA Gene Sequencing Characterizes Riverine Microbial Impact on Lake Michigan, 10(May), 1–12. [CrossRef]
  • Ondov, B. D., Bergman, N. H., & Phillippy, A. M. (2011). Interactive metagenomic visualization in a Web browser. BMC Bioinformatics, 12(1), 385. [CrossRef]
  • Ozbayram, E. G., Kleinsteuber, S., Nikolausz, M., Ince, B., & Ince, O. (2017). Effect of bioaugmentation by cellulolytic bacteria enriched from sheep rumen on methane production from wheat straw. Anaerobe, 46, 122–130. [CrossRef]
  • Parulekar, N. N., Kolekar, P., Jenkins, A., Kleiven, S., Utkilen, H., Johansen, A., Sæb, M. (2017). Characterization of bacterial community associated with phytoplankton bloom in a eutrophic lake in South Norway using 16S rRNA gene amplicon sequence analysis, 1–22. [CrossRef]
  • Steffen, M. M., Li, Z., Effler, T. C., Hauser, L. J., Boyer, G. L., & Wilhelm, S. W. (2012). Comparative Metagenomics of Toxic Freshwater Cyanobacteria Bloom Communities on Two Continents. PLoS ONE, 7(8), 1–9. [CrossRef]
  • Su, X., Steinman, A. D., Tang, X., Xue, Q., Zhao, Y., & Xie, L. (2017a). Response of bacterial communities to cyanobacterial harmful algal blooms in Lake Taihu , China. Harmful Algae, 68, 168–177. [CrossRef]
  • Su, X., Steinman, A. D., Tang, X., Xue, Q., Zhao, Y., & Xie, L. (2017b). Response of bacterial communities to cyanobacterial harmful algal blooms in Lake Taihu , China. Harmful Algae, 68, 168–177. [CrossRef]
  • Woodhouse, J. N., Kinsela, A. S., Collins, R. N., Bowling, L. C., Honeyman, G. L., Holliday, J. K., & Neilan, B. A. (2016). Microbial communities reflect temporal changes in cyanobacterial composition in a shallow ephemeral freshwater lake. ISME Journal, 10(6), 1337–1351. [CrossRef]
  • Zhu, C., Zhang, J., Nawaz, M. Z., Mahboob, S., Al-Ghanim, K. A., Khan, I. A., Chen, T. (2019). Seasonal succession and spatial distribution of bacterial community structure in a eutrophic freshwater Lake, Lake Taihu. Science of the Total Environment, 669, 29–40. [CrossRef]

Bacterial Community Composition of Sapanca Lake During a Cyanobacterial Bloom

Year 2020, Volume: 35 Issue: 2, 52 - 56, 13.03.2020

E. Gözde Özbayram Latife Köker Reyhan Akçaalan Orhan İnce Meriç Albay

https://doi.org/10.26650/ASE2020652073

Abstract

Microbial community compositions and functions of freshwater ecosystems vary due to the environmental parameters and water chemistry. Transient bloom events play a crucial role on the community profiles. In this study, a specific focus was set to provide a snapshot of the bacterial community composition in Lake Sapanca, associated with cyanobacterial bloom by high throughput sequencing method. For this purpose, a sample was collected in the shore of Lake Sapanca during a cyanobacterial bloom, and the bacterial community profile was examined by 16S rRNA amplicon sequencing using the Illumina MiSeq platform. Cyanobacteria represented 94% of the all reads. The bacterial community was re-calculated to evaluate the bacterial diversity in detail by filtering cyanobacterial sequences. The community was dominated by Proteobacteria (44%) and Bacteroidetes (33%) species which are abundant in freshwater ecosystems having an ability to degrade complex organics. Among the classified genera, Flavobacterium and Rheinheimera dominated the bacterial community suggesting a strong link between those species and the cyanobacterial bloom. The experimental work presented here provides one of the first investigations of total bacterial communities in Lake Sapanca by the high throughput sequencing method. Further work is needed with more sampling points and time series to fully understand the bacterial diversity and dynamics.

Keywords

bacterial community cyanobacterial bloom illumina Miseq Sapanca Lake 16S rRNA

References

  • Akçaalan, R., Albay, M., Gürevin, C., & Çevik, F. (2007). The influence of environmental conditions on the morphological variability of phytoplankton in an oligo-mesotrophic Turkish lake. Annales de Limnologie - International Journal of Limnology, 43(1), 21–28. [CrossRef]
  • Akçaalan, R., Albay, M., Koker, L., Baudart, J., Guillebault, D., Fischer, S., Medlin, L. K. (2018). Seasonal dynamics of freshwater pathogens as measured by microarray at Lake Sapanca, a drinking water source in the north-eastern part of Turkey. Environmental Monitoring and Assessment, 190(1). [CrossRef]
  • Akçaalan, R., Köker, L., Gürevin, C., & Albay, M. (2014). Planktothrix rubescens: A perennial presence and toxicity in Lake Sapanca. Turkish Journal of Botany, 38(4), 782–789. [CrossRef]
  • Altuğ, G., Yardimci, C. H., Okgerman, H., & Tarkan, S. A. (2006). Levels of Bacterial Metabolic Activity, Indicator (Coliform, Escherichia coli) and Pathogen Bacteria (Salmonella spp.) in the Surface Water of Sapanca Lake, Turkey. Journal of Black Sea / Mediterranean Environment, 12(1), 67–77.
  • Berg, K. A., Lyra, C., Sivonen, K., Paulin, L., Suomalainen, S., Tuomi, P., & Rapala, J. (2009). High diversity of cultivable heterotrophic bacteria in association with cyanobacterial water blooms. ISME Journal, 3(3), 314–325. [CrossRef]
  • Bolger, A. M., Lohse, M., & Usadel, B. (2014). Trimmomatic: A flexible trimmer for Illumina sequence data. Bioinformatics, 30(15), 2114– 2120. [CrossRef]
  • Buchan, A., LeCleir, G. R., Gulvik, C. A., & González, J. M. (2014). Master recyclers: features and functions of bacteria associated with phytoplankton blooms. Nature Reviews. Microbiology, 12(10), 686– 698. [CrossRef]
  • Cai, H., Jiang, H., Krumholz, L. R., & Yang, Z. (2014). Bacterial community composition of size-fractioned aggregates within the phycosphere of cyanobacterial blooms in a eutrophic freshwater lake. PLoS ONE, 9(8). [CrossRef]
  • Callahan, B. J., McMurdie, P. J., Rosen, M. J., Han, A. W., Johnson, A. J. A., & Holmes, S. P. (2016). DADA2: High-resolution sample inference from Illumina amplicon data. Nature Methods, 13(7), 581–583. [CrossRef]
  • Caporaso, J. G., Kuczynski, J., Stombaugh, J., Bittinger, K., Bushman, F. D., Costello, E. K., Knight, R. (2010). QIIME allows analysis of highthroughput community sequencing data. Nature Methods, 7(5), 335– 336. [CrossRef]
  • Çiftçi Türetken, P., Altuğ, G., Çardak, M., & Güneş, K. (2018). Sapanca Gölü’nden İzole Edilen Bakteri Suşlarının Petrol Hidrokarbonlarını Parçalama Yetenekleri. Kahramanmaraş Sütçü İmam Üniversitesi Doğa Bilimleri Dergisi, 21(4), 535–544. [CrossRef]
  • Edgar, R. C. (2010). Supplementary Material - Search and clustering orders of magnitude faster than BLAST. Bioinformatics, 26(19), 2460– 2461. [CrossRef]
  • Eiler, A., & Bertilsson, S. (2004). Composition of freshwater bacterial communities associated with cyanobacterial blooms in four Swedish lakes. Environmental Microbiology, 6(12), 1228–1243. [CrossRef]
  • Eiler, A., Bertilsson, S., & Centre, E. B. (2007). Flavobacteria Blooms in Four Eutrophic Lakes: Linking Population Dynamics of Freshwater Bacterioplankton to Resource Availability †, 73(11), 3511–3518. [CrossRef]
  • Leroy, S. A. G., & Albay, M. (2010). Palynomorphs of brackish and marine species in cores from the freshwater Lake Sapanca, NW Turkey. Review of Palaeobotany and Palynology, 160(3–4), 181–188. [CrossRef]
  • Lezcano, M. A., Velazquez, D., Quesada, A., & El-shehawy, R. (2017). Diversity and temporal shifts of the bacterial community associated with a toxic cyanobacterial bloom : An interplay between microcystin producers and degraders. Water Research, 125, 52–61. [CrossRef]
  • Liu, M., Liu, L., Chen, H., Yu, Z., Yang, J. R., Xue, Y., Huang, B., Yang, J. (2019). Community dynamics of free-living and particle-attached bacteria following a reservoir Microcystis bloom. Science of the Total Environment, 660, 501–511. [CrossRef]
  • Nakatsu, C. H., Byappanahalli, M. N., & Nevers, M. B. (2019). Bacterial Community 16S rRNA Gene Sequencing Characterizes Riverine Microbial Impact on Lake Michigan, 10(May), 1–12. [CrossRef]
  • Ondov, B. D., Bergman, N. H., & Phillippy, A. M. (2011). Interactive metagenomic visualization in a Web browser. BMC Bioinformatics, 12(1), 385. [CrossRef]
  • Ozbayram, E. G., Kleinsteuber, S., Nikolausz, M., Ince, B., & Ince, O. (2017). Effect of bioaugmentation by cellulolytic bacteria enriched from sheep rumen on methane production from wheat straw. Anaerobe, 46, 122–130. [CrossRef]
  • Parulekar, N. N., Kolekar, P., Jenkins, A., Kleiven, S., Utkilen, H., Johansen, A., Sæb, M. (2017). Characterization of bacterial community associated with phytoplankton bloom in a eutrophic lake in South Norway using 16S rRNA gene amplicon sequence analysis, 1–22. [CrossRef]
  • Steffen, M. M., Li, Z., Effler, T. C., Hauser, L. J., Boyer, G. L., & Wilhelm, S. W. (2012). Comparative Metagenomics of Toxic Freshwater Cyanobacteria Bloom Communities on Two Continents. PLoS ONE, 7(8), 1–9. [CrossRef]
  • Su, X., Steinman, A. D., Tang, X., Xue, Q., Zhao, Y., & Xie, L. (2017a). Response of bacterial communities to cyanobacterial harmful algal blooms in Lake Taihu , China. Harmful Algae, 68, 168–177. [CrossRef]
  • Su, X., Steinman, A. D., Tang, X., Xue, Q., Zhao, Y., & Xie, L. (2017b). Response of bacterial communities to cyanobacterial harmful algal blooms in Lake Taihu , China. Harmful Algae, 68, 168–177. [CrossRef]
  • Woodhouse, J. N., Kinsela, A. S., Collins, R. N., Bowling, L. C., Honeyman, G. L., Holliday, J. K., & Neilan, B. A. (2016). Microbial communities reflect temporal changes in cyanobacterial composition in a shallow ephemeral freshwater lake. ISME Journal, 10(6), 1337–1351. [CrossRef]
  • Zhu, C., Zhang, J., Nawaz, M. Z., Mahboob, S., Al-Ghanim, K. A., Khan, I. A., Chen, T. (2019). Seasonal succession and spatial distribution of bacterial community structure in a eutrophic freshwater Lake, Lake Taihu. Science of the Total Environment, 669, 29–40. [CrossRef]
There are 26 citations in total.

Details

Primary Language English
Journal Section Research Articles
Authors

E. Gözde Özbayram 0000-0002-5416-0611

Latife Köker This is me 0000-0002-9134-2801

Reyhan Akçaalan This is me 0000-0002-0756-8972

Orhan İnce This is me 0000-0001-5028-8872

Meriç Albay This is me 0000-0001-9726-945X

Publication Date March 13, 2020
Submission Date November 28, 2019
Published in Issue Year 2020 Volume: 35 Issue: 2

Cite

APA Özbayram, E. G., Köker, L., Akçaalan, R., İnce, O., et al. (2020). Bacterial Community Composition of Sapanca Lake During a Cyanobacterial Bloom. Aquatic Sciences and Engineering, 35(2), 52-56. https://doi.org/10.26650/ASE2020652073
AMA Özbayram EG, Köker L, Akçaalan R, İnce O, Albay M. Bacterial Community Composition of Sapanca Lake During a Cyanobacterial Bloom. Aqua Sci Eng. March 2020;35(2):52-56. doi:10.26650/ASE2020652073
Chicago Özbayram, E. Gözde, Latife Köker, Reyhan Akçaalan, Orhan İnce, and Meriç Albay. “Bacterial Community Composition of Sapanca Lake During a Cyanobacterial Bloom”. Aquatic Sciences and Engineering 35, no. 2 (March 2020): 52-56. https://doi.org/10.26650/ASE2020652073.
EndNote Özbayram EG, Köker L, Akçaalan R, İnce O, Albay M (March 1, 2020) Bacterial Community Composition of Sapanca Lake During a Cyanobacterial Bloom. Aquatic Sciences and Engineering 35 2 52–56.
IEEE E. G. Özbayram, L. Köker, R. Akçaalan, O. İnce, and M. Albay, “Bacterial Community Composition of Sapanca Lake During a Cyanobacterial Bloom”, Aqua Sci Eng, vol. 35, no. 2, pp. 52–56, 2020, doi: 10.26650/ASE2020652073.
ISNAD Özbayram, E. Gözde et al. “Bacterial Community Composition of Sapanca Lake During a Cyanobacterial Bloom”. Aquatic Sciences and Engineering 35/2 (March 2020), 52-56. https://doi.org/10.26650/ASE2020652073.
JAMA Özbayram EG, Köker L, Akçaalan R, İnce O, Albay M. Bacterial Community Composition of Sapanca Lake During a Cyanobacterial Bloom. Aqua Sci Eng. 2020;35:52–56.
MLA Özbayram, E. Gözde et al. “Bacterial Community Composition of Sapanca Lake During a Cyanobacterial Bloom”. Aquatic Sciences and Engineering, vol. 35, no. 2, 2020, pp. 52-56, doi:10.26650/ASE2020652073.
Vancouver Özbayram EG, Köker L, Akçaalan R, İnce O, Albay M. Bacterial Community Composition of Sapanca Lake During a Cyanobacterial Bloom. Aqua Sci Eng. 2020;35(2):52-6.
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