Comparison of bacterial community structures at main habitats in paddy field ecosystem based on DGGE analysis

被引:71
|
作者
Asakawa, Susumu [1 ]
Kimura, Makoto [1 ]
机构
[1] Nagoya Univ, Grad Sch Bioagr Sci, Lab Soil Biol & Chem, Chikusa Ku, Nagoya, Aichi 4648601, Japan
来源
SOIL BIOLOGY & BIOCHEMISTRY | 2008年 / 40卷 / 06期
关键词
bacterial community structure; comprehensive mapping; denaturing gradient gel electrophoresis; diversity; paddy field ecosystem;
D O I
10.1016/j.soilbio.2007.09.024
中图分类号
S15 [土壤学];
学科分类号
0903 ; 090301 ;
摘要
Bacterial communities at different habitats in a Japanese paddy field ecosystem were compared to understand the bacterial world in the ecosystem as a whole by analyzing data of the denaturing gradient gel electrophoresis (DGGE) band patterns and the sequenced DGGE bands. The habitats were floodwater, percolating water, microcrustacean inhabiting in floodwater, plow layer soil, rice roots, rice straw and rice straw compost incorporated in soil, rice straw placed on the soil surface, plant residues in paddy fields, and rice straw under composting process. Phylotype (band) richness, diversity, evenness, and stability of the bacterial communities at the respective habitats were evaluated based on the DGGE profile data. Phylotype richness was greater near plant residues, rice straw buried in soil and rice straw placed on soil surface, while it was smaller at microcrustacean and rice straw compost buried in soil. The samples from plow layer soil and rice straw compost buried in soil showed considerably higher index values for diversity, evenness, and stability, while those from rice straw placed on soil surface and microcrustacean had lower values of the indices than other habitats. Sequences of totally 250 DGGE bands were assigned to phyla or classes. Distribution of bacterial members to phylogenetic taxa was different among the respective habitats. Inhabitants in plow layer soil were most widely distributed among the groups (nine phyla: Proteobacteria, Chloroflexi, Chlorobi, Verrucomicrobia, Acidobacteria, Nitrospira, candidate division OP10, Cyanobacteria, and Actinobacteria), while those in floodwater and microcrustacean were restricted to only three phyla (Proteobacteria, Bacteroidetes, and Actinobacteria). Proteobacteria and Bacteroidetes were found at all the habitats and the habitats except for plow layer soil, respectively, whereas abundant members belonged to Chloroflexi and Actinobacteria in plow layer soil. "Comprehensive mapping" of DGGE fragments was conducted by principal component analysis based on evolutionary distances of the fragments to 202 reference bacterial strains to overview phylogenetic relationships of bacterial members among the respective habitats. The score plots with the first and second principal components distinctly characterized bacterial members at the respective habitats, and the similarity between the respective communities was clearly demonstrated. Overall, bacterial communities at the respective habitats were distinct and different in the diversity and stability to each other, which may have contributed to the diversity of overall bacterial communities in the paddy field ecosystem. (C) 2007 Elsevier Ltd. All rights reserved.
引用
收藏
页码:1322 / 1329
页数:8
相关论文
共 50 条
  • [41] Analysis of bacterial community structures in two sewage treatment plants with different sludge properties and treatment performance by nested PCR-DGGE method
    Liu Xin-chun
    Zhang Yu
    Yang Min
    Wang Zhen-yu
    Lv Wen-zhou
    JOURNAL OF ENVIRONMENTAL SCIENCES, 2007, 19 (01) : 60 - 66
  • [42] Soil Bacterial Diversity Analysis of Cotton Field under Organic and Inorganic Management using DGGE
    Pasha, Malik Ahmed
    Bhat, Sumangala
    Krishnaraj, P. U.
    JOURNAL OF PURE AND APPLIED MICROBIOLOGY, 2015, 9 (01): : 631 - 636
  • [43] Leaf litter is the main driver for changes in bacterial community structures in the rhizosphere of ash and beech
    Pfeiffer, Birgit
    Fender, Ann-Catrin
    Lasota, Sandra
    Hertel, Dietrich
    Jungkunst, Hermann F.
    Daniel, Rolf
    APPLIED SOIL ECOLOGY, 2013, 72 : 150 - 160
  • [44] Analysis of bacterial community diversity of biofouling in recirculating cooling water system by using PCR-DGGE
    Ma T.
    Liu F.
    Zhao C.
    Zhang P.
    Shiyou Xuebao, Shiyou Jiagong/Acta Petrolei Sinica (Petroleum Processing Section), 2011, 27 (03): : 493 - 500
  • [45] Bacterial, archaeal, and fungal community responses to acid mine drainage-laden pollution in a rice paddy soil ecosystem
    Wang, Han
    Zeng, Yufei
    Guo, Chuling
    Bao, Yanping
    Lu, Guining
    Reinfelder, John R.
    Dang, Zhi
    SCIENCE OF THE TOTAL ENVIRONMENT, 2018, 616 : 107 - 116
  • [46] Vertical Variations of Bacterial Community Composition in South China Sea Determined by DGGE Fingerprinting and Multivariate Analysis
    Yin, Jian-Ping
    Ling, Juan
    Dong, Jun-De
    Wu, Mei-Lin
    Zhang, Yan-Ying
    Wang, You-Shao
    POLISH JOURNAL OF ENVIRONMENTAL STUDIES, 2014, 23 (05): : 1787 - 1796
  • [47] PCR-DGGE based biodiveristy, changeability and genetic similarity analysis of bacterial community in sequencing batch reactors dealing with reject water
    Ziembińska-Buczyńska, Aleksandra (Aleksandra.ziembinska-buczynska@polsl.pl), 1600, Polska Akademia Nauk (62):
  • [48] Field scale molecular analysis for the monitoring of bacterial community structures during on-site diesel bioremediation
    Ciric, Lena
    Griffiths, Robert I.
    Philp, James C.
    Whiteley, Andrew S.
    BIORESOURCE TECHNOLOGY, 2010, 101 (14) : 5235 - 5241
  • [49] Effects of Biogas Slurry Combined With Chemical Fertilizer on Soil Bacterial and Fungal Community Composition in a Paddy Field
    Zhang, Hanlin
    Li, Shuangxi
    Zheng, Xianqing
    Zhang, Juanqin
    Bai, Naling
    Zhang, Haiyun
    Lv, Weiguang
    FRONTIERS IN MICROBIOLOGY, 2021, 12
  • [50] IMPACTS OF SOIL TYPE ON BACTERIAL COMMUNITY STRUCTURE IN RICE RHIZOSPHERE AND GRAIN YIELDS IN PADDY FIELD IN CHINA
    Qiao, Y. J.
    Fan, Y. Q.
    Guo, L. C.
    Yang, Z. P.
    Huang, T. M.
    Sun, M.
    Gao, Z. Q.
    APPLIED ECOLOGY AND ENVIRONMENTAL RESEARCH, 2023, 21 (02): : 1095 - 1107