Bacterial diversity along a 2600 km river continuum

Savio, Domenico; Sinclair, Lucas; Ijaz, Umer Zeeshan; Parajka, J.; Reischer, Georg H.; Stadler, Philipp; Blaschke, Alfred Paul; Blöschl, Günter; Mach, Robert L.; Kirschner, Alexander K. T.; Farnleitner, Andreas H.; Eiler, Alexander

doi:10.1111/1462-2920.12886

Cited by 286 publications

(268 citation statements)

References 68 publications

(116 reference statements)

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“…The high numbers of OTUs that we observed in the smallest headwater streams agrees with the notion that these systems act as integrators and dispersers of microbial diversity originating from the surrounding terrestrial landscape (Savio et al, 2015;Hauptmann et al, 2016;Ruiz-González et al, 2015a;Niño-García et al 2016a). Moreover, whereas the observed decrease in OTU richness suggests that many of these dispersed bacteria cannot thrive in the water, the reduction in taxonomic diversity further implies that there is a progressive dominance of taxa adapted to aquatic conditions, as previously reported (Savio et al, 2015;Niño-García et al 2016a).…”

Section: Discussionsupporting

confidence: 90%

“…Moreover, whereas the observed decrease in OTU richness suggests that many of these dispersed bacteria cannot thrive in the water, the reduction in taxonomic diversity further implies that there is a progressive dominance of taxa adapted to aquatic conditions, as previously reported (Savio et al, 2015;Niño-García et al 2016a). In order to check whether we could differentiate such contrasting dynamics within the dispersed taxa, we identified those OTUs present at the origin of the hydrologic continuum (i.e., streams of order 0 or 1) that i) decreased in abundance (i.e., 'Tourist' OTUs) or ii) increased in abundance ('Seed' OTUs) towards the largest rivers.…”

Section: Discussionsupporting

confidence: 64%

“…In this regard, Crump et al (2007) suggested that bacteria transported by advection from upstream sources should constitute a small fraction of the total cells in systems with water residence times longer than bacterial doubling times. Other studies have explicitly explored the dynamics of different groups of bacterial taxa, showing that, whereas communities at the origin of the hydrologic continuum (i.e., in the smallest headwater streams) are mostly dominated by taxa washed from soils that likely cannot thrive in aquatic systems, downstream systems with longer water residence times mostly comprise typical freshwater taxa adapted to local conditions (Savio et al, 2015;Ruiz-González et al, 2015a;Niño-García et al, 2016a). Related to this, Niño-García et al, (2016a) found that, although pH seemed to shape bacterial communities along the whole aquatic continuum in the boreal landscape (ca.…”

Section: Contrasting Dynamics and Environmental Controls Of Dispersedmentioning

confidence: 99%

“…This results in a diAdvances in Oceanography and Limnology, 2017;8(2): 222-234 ARTICLE DOI: 10.4081/aiol.2017.7232 This work is licensed under a Creative Commons . rectional structuring of aquatic communities and a gradual decrease in taxonomic richness that has been observed both along individual rivers (Savio et al 2015) or across multiple unconnected aquatic sites (Ruiz-González et al, 2015a;Niño-García et al 2016a). More importantly, however, some of these transported soil bacteria seem to be able to grow during transit in the water and to dominate freshwater bacterioplankton communities when the water residence time is long enough, i.e., in large rivers and lakes (Crump et al 2012, Ruiz-González et al, 2015a.…”

Section: Introductionmentioning

confidence: 99%

“…For example, terrestrial runoff causes the advection of high numbers of bacterial taxa to aquatic bodies, and consequently the systems most tightly connected to the landscape will be more strongly influenced by this transport of terrestrial bacteria. Although headwater streams have been suggested to act as integrators and vectors of microbial diversity from soil sources (Crump et al, 2007;Nelson et al, 2009;Besemer et al, 2012Besemer et al, , 2013, only a few studies have directly explored this (Savio et al 2015;Ruiz-González et al, 2015a;Niño-García et al 2016a), showing that most of these dispersed bacteria, which dominate communities in headwaters, gradually disappear along the river continuum. This results in a diAdvances in Oceanography and Limnology, 2017;8(2): 222-234 ARTICLE DOI: 10.4081/aiol.2017.7232 This work is licensed under a Creative Commons .…”

Section: Introductionmentioning

confidence: 99%

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Contrasting dynamics and environmental controls of dispersed bacteria along a hydrologic gradient

et al. 2017

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Freshwater bacterioplankton communities are influenced by the transport of bacteria from the surrounding terrestrial environments. It has been shown that, although most of these dispersed bacteria gradually disappear along the hydrologic continuum, some can thrive in aquatic systems and become dominant, leading to a gradual succession of communities. Here we aimed at exploring the environmental factors driving the structure of such contrasting bacterial populations as well as their functional properties. Using Illumina sequencing of the 16S rRNA gene, we characterized the taxonomic composition of bacterioplankton communities from 10 streams and rivers in Québec spanning the whole hydrologic continuum (river Strahler order 0 to 7), which were sampled in two occasions. With the aim to understand the fate and controls of the transported bacteria, among the taxa present at the origin of the hydrologic gradient (i.e., in the smallest headwater streams) we identified two types of dynamics: i) 'Tourist' taxa, which were those that decreased in abundance from the headwaters towards the largest rivers, and ii) 'Seed' taxa, those that increased their abundances along the hydrologic continuum. Communities changed gradually from the fast-flowing headwater streams dominated by 'Tourist' taxa (ca. 95% of the sequences) towards the largest rivers (Strahler order 4-7) where 'Seed' taxa comprised up to 80% of community sequences. Variation in taxonomic composition of the communities dominated by 'Tourist' taxa in streams seemed related to different degree of terrestrial inputs, whereas compositional changes in 'Seed' communities in the large rivers were linked to differences in autochthonous processes. Finally, the two types of communities differed significantly in their metabolic potential assessed through Biolog Ecoplates. All this suggests that hydrologic transport modulates the gradual replacement of two contrasting population types subjected to different environmental controls and with different metabolic potentials. Moreover, we show that the separate exploration of the two pools of taxa allows unveiling environmental drivers and processes operating on them that remain hidden if explored at the whole community level.

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Section: Discussionsupporting

confidence: 90%

Section: Discussionsupporting

confidence: 64%

Section: Contrasting Dynamics and Environmental Controls Of Dispersedmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Contrasting dynamics and environmental controls of dispersed bacteria along a hydrologic gradient

et al. 2017

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Attribution of regional flood changes based on scaling fingerprints

Viglione¹,

Merz

Dũng

et al. 2016

Water Resources Research

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Changes in the river flood regime may be due to atmospheric processes (e.g., increasing precipitation), catchment processes (e.g., soil compaction associated with land use change), and river system processes (e.g., loss of retention volume in the floodplains). This paper proposes a new framework for attributing flood changes to these drivers based on a regional analysis. We exploit the scaling characteristics (i.e., fingerprints) with catchment area of the effects of the drivers on flood changes. The estimation of their relative contributions is framed in Bayesian terms. Analysis of a synthetic, controlled case suggests that the accuracy of the regional attribution increases with increasing number of sites and record lengths, decreases with increasing regional heterogeneity, increases with increasing difference of the scaling fingerprints, and decreases with an increase of their prior uncertainty. The applicability of the framework is illustrated for a case study set in Austria, where positive flood trends have been observed at many sites in the past decades. The individual scaling fingerprints related to the atmospheric, catchment, and river system processes are estimated from rainfall data and simple hydrological modeling. Although the distributions of the contributions are rather wide, the attribution identifies precipitation change as the main driver of flood change in the study region. Overall, it is suggested that the extension from local attribution to a regional framework, including multiple drivers and explicit estimation of uncertainty, could constitute a similar shift in flood change attribution as the extension from local to regional flood frequency analysis.

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Predicting Hydrologic Function With Aquatic Gene Fragments

Good

URycki

Crump

2018

Water Resources Research

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Recent advances in microbiology techniques, such as genetic sequencing, allow for rapid and cost‐effective collection of large quantities of genetic information carried within water samples. Here we posit that the unique composition of aquatic DNA material within a water sample contains relevant information about hydrologic function at multiple temporal scales. In this study, machine learning was used to develop discharge prediction models trained on the relative abundance of bacterial taxa classified into operational taxonomic units (OTUs) based on 16S rRNA gene sequences from six large arctic rivers. We term this approach “genohydrology,” and show that OTU relative abundances can be used to predict river discharge at monthly and longer timescales. Based on a single DNA sample from each river, the average Nash‐Sutcliffe efficiency (NSE) for predicted mean monthly discharge values throughout the year was 0.84, while the NSE for predicted discharge values across different return intervals was 0.67. These are considerable improvements over predictions based only on the area‐scaled mean specific discharge of five similar rivers, which had average NSE values of 0.64 and −0.32 for seasonal and recurrence interval discharge values, respectively. The genohydrology approach demonstrates that genetic diversity within the aquatic microbiome is a large and underutilized data resource with benefits for prediction of hydrologic function.

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Bacterial diversity along a 2600 km river continuum

Cited by 286 publications

References 68 publications

Contrasting dynamics and environmental controls of dispersed bacteria along a hydrologic gradient

Contrasting dynamics and environmental controls of dispersed bacteria along a hydrologic gradient

Attribution of regional flood changes based on scaling fingerprints

Predicting Hydrologic Function With Aquatic Gene Fragments

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