2019
DOI: 10.1038/s41597-019-0172-9
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Bacterial succession along a sediment porewater gradient at Lake Neusiedl in Austria

Abstract: We provide bacterial 16S rRNA community and hydrochemical data from water and sediments of Lake Neusiedl, Austria. The sediments were retrieved at 5 cm intervals from 30–40 cm push cores. The lake water community was recovered by filtration through a 3.0/0.2 µm filter sandwich. For 16S rRNA gene amplicon-based community profiling, DNA was extracted from the sediment and filters and the bacterial V3-V4 regions were amplified and sequenced using a MiSeq instrument (Illumina). The reads were quality-filtered and … Show more

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Cited by 23 publications
(13 citation statements)
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“…Bioinformatic processing of 16S rRNA gene amplicons was carried out using the protocol for bacterial 16S rRNA community of water and sediments described by von Hoyningen-Huene et al (2019) with the following modification. The paired-end (PE) reads from the Illumina MiSeq sequencing were first quality checked using fastp ( Chen et al, 2018 ) with the quality phred score of 20 (−q 20), minimum read length of 200 (−l 200), base correction by overlap (−c), as well as 5′-end trimming (−5 4) and 3′-end trimming (−3 4).…”
Section: Methodsmentioning
confidence: 99%
“…Bioinformatic processing of 16S rRNA gene amplicons was carried out using the protocol for bacterial 16S rRNA community of water and sediments described by von Hoyningen-Huene et al (2019) with the following modification. The paired-end (PE) reads from the Illumina MiSeq sequencing were first quality checked using fastp ( Chen et al, 2018 ) with the quality phred score of 20 (−q 20), minimum read length of 200 (−l 200), base correction by overlap (−c), as well as 5′-end trimming (−5 4) and 3′-end trimming (−3 4).…”
Section: Methodsmentioning
confidence: 99%
“…The dataset with the most negative fitted slope is that for Daya Bay, China (Wu et al, 2021), where samples were collected from the surface, middle, and bottom of sediment cores. In addition, multiple lake and ocean datasets are characterized by higher Eh7 for overlying water than sediment (Han et al, 2019;von Hoyningen-Huene et al, 2019;Vavourakis et al, 2019;Molina et al, 2021); most of these exhibit negative correlations with Z C , except for Honghu Lake (Han et al, 2019), which shows a relatively high Z C for water. A systematic difference in redox potential between water and sediment is not evident for river datasets (Cai et al, 2019;Zárate et al, 2020).…”
Section: Sediment and Soilmentioning
confidence: 99%
“…The datasets with negative correlations represent marine (Sánchez-Soto Jiménez et al, 2018;Molina et al, 2021;Wu et al, 2021), coastal (Zhou et al, 2017), freshwater (Zárate et al, 2020;von Hoyningen-Huene et al, 2019), and hypersaline sediments (Vavourakis et al, 2019). The dataset with the most negative fitted slope is that for Daya Bay, China (Wu et al, 2021), where samples were collected from the surface, middle, and bottom of sediment cores.…”
Section: Sediment and Soilmentioning
confidence: 99%
“…While the concept that dolomite forms within sediments mediated by anaerobic microbial processes and their extracellular polymeric substances is widely acknowledged, another aspect should be taken into account: the site of dolomite formation may not always coincide with the location where the mineral is found due to relocation after precipitation. Several studies describe unlithified dolomite precipitation in warm, arid and hypersaline marine environments, like coastal sabkhas (Illing et al, 1965;Bontognali et al, 2010;Court et al, 2017), coastal lakes, such as Lagoa Vermelha in Brazil (Vasconcelos and McKenzie, 1997;van Lith et al, 2002;Sánchez-Román et al, 2009), and ephemeral lakes along the Coorong lagoon in southern Australia (von der Borch, 1976;Rosen et al, 1989;Warren, 1990;Wright and Wacey, 2005). Dolomite precipitation is further reported in endorheic hypersaline lakes, e.g., Qinghai Lake in Tibet (Deng et al, 2010), Lake Acıgöl (Turkey;Balci et al, 2016) and alkaline playa lakes such as Deep Springs Lake in California (Meister et al, 2011).…”
Section: Introductionmentioning
confidence: 99%