title: Assessing water quality by ratio of the number of dominant bacterium species between surface/subsurface sediments in Haihe River Basin.
abstract: Sedimentary microorganisms can be used as a sensitive indicator of integrated aquatic environment quality assessment and indicate long-term water quality or toxicity. According to the Chinese National Standards of GB 3838-2002 and GB 18918-2002, the comprehensive water quality in Haihe River Basin has been described. Results showed that the comprehensive water quality in 6 sites, 4 sites, and 20 sites were good, bad, and medium. Furthermore, 162 dominant bacterial species were identified in surface and subsurface sediments in the 30 sampling sites. As revealed by two initial models constructed by logistic regression, the comprehensive water quality exhibited a pattern from good to bad as the ratio of the number of dominant bacterial species in surface sediments to that in subsurface sediments increased from 1 to 2.1. This finding possibly bridged a traditional gap between aquatic microbe indicators and water quality assessment or monitoring techniques.
authors.affiliation: College of Energy and Environment, Shenyang Aerospace University, Shenyang 110136, China.
authors.forename: Xin
authors.initials: X
authors.lastname: Ke
authors.affiliation: College of Energy and Environment, Shenyang Aerospace University, Shenyang 110136, China.
authors.forename: Chunyong
authors.initials: C
authors.lastname: Wang
authors.affiliation: College of Life Sciences, Capital Normal University, Beijing 100048, China; Xiang Yang Forestry Bureau, Xiangyang 441100, China. Electronic address: jingdb1@hotmail.com.
authors.forename: Debing
authors.initials: D
authors.lastname: Jing
authors.affiliation: College of Land and Environment, Shenyang Agriculture University, Shenyang 110161, China. Electronic address: zhan2049@purdue.edu.
authors.forename: Yun
authors.initials: Y
authors.lastname: Zhang
authors.affiliation: College of Energy and Environment, Shenyang Aerospace University, Shenyang 110136, China.
authors.forename: Haijun
authors.initials: H
authors.lastname: Zhang
mesh_terms: D002681:China; D004784:Environmental Monitoring / Q000379:methods*; D019015:Geologic Sediments / Q000382:microbiology*; D045483:Rivers / Q000382:microbiology*; D014871:Water Microbiology; D060753:Water Quality
keywords: Comprehensive water quality; Dominant sedimentary bacteria; Haihe River Basin; Modified PCR–DGGE; Surface/subsurface sediment