Data for: Functional analysis of a polluted river microbiome reveals a metabolic potential for bioremediation of environmental significance pollutants

Published: 23 February 2020| Version 1 | DOI: 10.17632/2c8fhjb9kj.1
Contributors:
Luz Breton-Deval,
Ayixon Sánchez-Reyes,
Alejandro Sánchez-Flores,
katy Juarez,
Ilse Salinas Peralta,
Patricia Mussali-Galante

Description

These data contain the list of selected "seed-sequences" for biodegradative and metal-related activities prediction by hidden Markov models (HMM) profiles, in Apatlaco river, Morelos state, Mexico. The Apatlaco river has 63 km in length and provides water to 10 state districts and an average of 2 million of people. The river receives 321 wastewater discharges, of which 49% come from industrial activities, 42% from the domestic sector and just 9% from farming. The aim of this research is to understand the functional and metabolic potential of the microbial communities in the Apatlaco river and highlight its relations with natural bioremediation capabilities. Also, we make publicly available the metagenomic assemblies generated for each of four sites sampled along the river (S1-S4). The assemblies were generated using Megahit v1.1.3 (Li et al., 2015) with the following parameters: --k-min 25 --k-max 75 --k-step 10 -m 0.4 --no-mercy.

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