FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2230207894> ?p ?o ?g. }

• W2230207894 abstract "Select bacteria, such as Escherichia coli or coliforms, have been widely used as sentinels of low water quality; however, there are concerns regarding their predictive accuracy for the protection of human and environmental health. To develop improved monitoring systems, a greater understanding of bacterial community structure, function and variability across time is required in the context of different pollution types, such as agricultural and urban contamination. Here, we present a year-long survey of free-living bacterial DNA collected from seven sites along rivers in three watersheds with varying land use in Southwestern Canada. This is the first study to examine the bacterial metagenome in flowing freshwater (lotic) environments over such a time span, providing an opportunity to describe bacterial community variability as a function of land use and environmental conditions. Characteristics of the metagenomic data, such as sequence composition and average genome size, vary with sampling site, environmental conditions, and water chemistry. For example, average genome size was correlated with hours of daylight in the agricultural watershed and, across the agriculturally and urban-affected sites, k-mer composition clustering corresponded to nutrient concentrations. In addition to indicating a community shift, this change in average genome size has implications in terms of the normalisation strategies required, and considerations surrounding such strategies in general are discussed. When comparing abundances of gene functional groups between high- and low-quality water samples collected from an agricultural area, the latter had a higher abundance of nutrient metabolism and bacteriophage groups, possibly reflecting an increase in agricultural runoff. This work presents a valuable dataset representing a year of monthly sampling across watersheds and an analysis targeted at establishing a foundational understanding of how bacterial lotic communities vary across time and land use. The results provide important context for future studies, including further analyses of watershed ecosystem health, and the identification and development of biomarkers for improved water quality monitoring systems." @default.
• W2230207894 created "2016-06-24" @default.
• W2230207894 creator A5004604994 @default.
• W2230207894 creator A5006062054 @default.
• W2230207894 creator A5012701075 @default.
• W2230207894 creator A5019488638 @default.
• W2230207894 creator A5041975586 @default.
• W2230207894 creator A5043058641 @default.
• W2230207894 creator A5050197558 @default.
• W2230207894 creator A5051428361 @default.
• W2230207894 creator A5062527068 @default.
• W2230207894 creator A5066999136 @default.
• W2230207894 creator A5080436388 @default.
• W2230207894 creator A5085588216 @default.
• W2230207894 date "2015-12-16" @default.
• W2230207894 modified "2023-09-25" @default.
• W2230207894 title "Year-Long Metagenomic Study of River Microbiomes Across Land Use and Water Quality" @default.
• W2230207894 cites W1511665203 @default.
• W2230207894 cites W1914381787 @default.
• W2230207894 cites W1960046401 @default.
• W2230207894 cites W1966501953 @default.
• W2230207894 cites W1977082928 @default.
• W2230207894 cites W1989348205 @default.
• W2230207894 cites W1990241939 @default.
• W2230207894 cites W1997733364 @default.
• W2230207894 cites W2002535907 @default.
• W2230207894 cites W2005761131 @default.
• W2230207894 cites W2015053255 @default.
• W2230207894 cites W2015150982 @default.
• W2230207894 cites W2016904876 @default.
• W2230207894 cites W2026716989 @default.
• W2230207894 cites W2033596443 @default.
• W2230207894 cites W2036897871 @default.
• W2230207894 cites W2047263661 @default.
• W2230207894 cites W2055957490 @default.
• W2230207894 cites W2057215967 @default.
• W2230207894 cites W2065877239 @default.
• W2230207894 cites W2067520371 @default.
• W2230207894 cites W2067907709 @default.
• W2230207894 cites W2068844511 @default.
• W2230207894 cites W2075435443 @default.
• W2230207894 cites W2090592781 @default.
• W2230207894 cites W2094116491 @default.
• W2230207894 cites W2096128575 @default.
• W2230207894 cites W2098023550 @default.
• W2230207894 cites W2100641664 @default.
• W2230207894 cites W2101770833 @default.
• W2230207894 cites W2101831420 @default.
• W2230207894 cites W2104755165 @default.
• W2230207894 cites W2107303144 @default.
• W2230207894 cites W2114034054 @default.
• W2230207894 cites W2119925477 @default.
• W2230207894 cites W2122210493 @default.
• W2230207894 cites W2122789727 @default.
• W2230207894 cites W2123682981 @default.
• W2230207894 cites W2128711701 @default.
• W2230207894 cites W2130814388 @default.
• W2230207894 cites W2131171044 @default.
• W2230207894 cites W2131271579 @default.
• W2230207894 cites W2133707124 @default.
• W2230207894 cites W2136168229 @default.
• W2230207894 cites W2143842034 @default.
• W2230207894 cites W2144259726 @default.
• W2230207894 cites W2157787595 @default.
• W2230207894 cites W2158894328 @default.
• W2230207894 cites W2159482845 @default.
• W2230207894 cites W2164087962 @default.
• W2230207894 cites W2167471278 @default.
• W2230207894 cites W2172106300 @default.
• W2230207894 cites W2340815279 @default.
• W2230207894 cites W2952998058 @default.
• W2230207894 cites W4294216483 @default.
• W2230207894 cites W1980063345 @default.
• W2230207894 doi "https://doi.org/10.3389/fmicb.2015.01405" @default.
• W2230207894 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/4681185" @default.
• W2230207894 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/26733955" @default.
• W2230207894 hasPublicationYear "2015" @default.
• W2230207894 type Work @default.
• W2230207894 sameAs 2230207894 @default.
• W2230207894 citedByCount "45" @default.
• W2230207894 countsByYear W22302078942016 @default.
• W2230207894 countsByYear W22302078942017 @default.
• W2230207894 countsByYear W22302078942018 @default.
• W2230207894 countsByYear W22302078942019 @default.
• W2230207894 countsByYear W22302078942020 @default.
• W2230207894 countsByYear W22302078942021 @default.
• W2230207894 countsByYear W22302078942022 @default.
• W2230207894 countsByYear W22302078942023 @default.
• W2230207894 crossrefType "journal-article" @default.
• W2230207894 hasAuthorship W2230207894A5004604994 @default.
• W2230207894 hasAuthorship W2230207894A5006062054 @default.
• W2230207894 hasAuthorship W2230207894A5012701075 @default.
• W2230207894 hasAuthorship W2230207894A5019488638 @default.
• W2230207894 hasAuthorship W2230207894A5041975586 @default.
• W2230207894 hasAuthorship W2230207894A5043058641 @default.
• W2230207894 hasAuthorship W2230207894A5050197558 @default.
• W2230207894 hasAuthorship W2230207894A5051428361 @default.
• W2230207894 hasAuthorship W2230207894A5062527068 @default.
• W2230207894 hasAuthorship W2230207894A5066999136 @default.
• W2230207894 hasAuthorship W2230207894A5080436388 @default.

• next