Faculty of Natural Sciences

TY - JOUR

T1 - Characterizing a riverine microbiome impacted by extreme disturbance caused by a mining sludge tsunami

AU - Reis, Mariana P.

AU - Suhadolnik, Maria Luiza S.

AU - Dias, Marcela F.

AU - Avila, Marcelo P.

AU - Motta, Amanda M.

AU - Barbosa, Francisco A. R.

AU - Nascimento, Andrea M. A.

PY - 2020/8

Y1 - 2020/8

N2 - Studies on disturbance events in riverine systems caused by environmental disasters and their effects on microbial diversity are scarce. Here, we evaluated the impact of the collapse of an iron ore dam holding approximately 50 million cubic meters of waste on both water and sediment microbiomes by deeply sequencing the 16S rRNA gene. Samples were taken from two impacted rivers and one reference river 7, 30 and 150 days postdisturbance. The impacted community structure changed greatly over spatiotemporal scales, being less diverse and more uneven, particularly on day 7 for the do Carmo River (the closest to the dam). However, the reference community structure remained similar between sampling events. Moreover, the impacted sediments were positively correlated with metals. The taxa abundance varied greatly over spatiotemporal scales, allowing for the identification of several potential bioindicators, e.g., Comamonadaceae, Novosphingobium, Sediminibacterium and Bacteriovorax. Our results showed that the impacted communities consisted mostly of Fe(II) oxidizers and Fe(III) reducers, aromatic compound degraders and predator bacteria. Network analysis showed a highly interconnected microbiome whose interactions switched from positive to negative or vice versa between the impacted and reference communities. This work revealed potential molecular signatures associated with the rivers heavily impacted by metals that might be useful sentinels for predicting riverine health. (C) 2020 Elsevier Ltd. All rights reserved.

AB - Studies on disturbance events in riverine systems caused by environmental disasters and their effects on microbial diversity are scarce. Here, we evaluated the impact of the collapse of an iron ore dam holding approximately 50 million cubic meters of waste on both water and sediment microbiomes by deeply sequencing the 16S rRNA gene. Samples were taken from two impacted rivers and one reference river 7, 30 and 150 days postdisturbance. The impacted community structure changed greatly over spatiotemporal scales, being less diverse and more uneven, particularly on day 7 for the do Carmo River (the closest to the dam). However, the reference community structure remained similar between sampling events. Moreover, the impacted sediments were positively correlated with metals. The taxa abundance varied greatly over spatiotemporal scales, allowing for the identification of several potential bioindicators, e.g., Comamonadaceae, Novosphingobium, Sediminibacterium and Bacteriovorax. Our results showed that the impacted communities consisted mostly of Fe(II) oxidizers and Fe(III) reducers, aromatic compound degraders and predator bacteria. Network analysis showed a highly interconnected microbiome whose interactions switched from positive to negative or vice versa between the impacted and reference communities. This work revealed potential molecular signatures associated with the rivers heavily impacted by metals that might be useful sentinels for predicting riverine health. (C) 2020 Elsevier Ltd. All rights reserved.

KW - Fundao dam collapse

KW - River

KW - Sediment microbiome

KW - Water microbiome

KW - Bioindicator

KW - 16S rRNA gene

KW - BACTERIAL COMMUNITY COMPOSITION

KW - FRESH-WATER

KW - DIVERSITY

KW - ENVIRONMENT

KW - SOIL

KW - IRON

KW - MICROORGANISMS

KW - RESILIENCE

KW - RESISTANCE

KW - SEDIMENTS

U2 - 10.1016/j.chemosphere.2020.126584

DO - 10.1016/j.chemosphere.2020.126584

M3 - Journal article

C2 - 32278186

VL - 253

JO - Chemosphere

JF - Chemosphere

SN - 0045-6535

M1 - 126584

ER -