Skip to Main content Skip to Navigation
Journal articles

Metataxonomics of Tunisian phosphogypsum based on five bioinformatics pipelines: Insights for bioremediation

Abstract : Phosphogypsum (PG) is an acidic by-product from the phosphate fertilizer industry and it is characterized by a low nutrient availability and the presence of radionuclides and heavy metals which pose a serious problem in its management. Here, we have applied Illumina MiSeq sequencing technology and five bioinformatics pipelines to explore the phylogenetic communities in Tunisian PG. Taking One Codex as a reference method, we present the results of 16S-rDNA-gene-based metataxonomics abundances with four other alternative bioinformatics pipelines (MetaGenome Rapid Annotation using Subsystem Technology (MG-RAST), mothur, MICrobial Community Analysis (MICCA) and Quantitative Insights into Microbial Ecology (QIIME)), when analyzing the Tunisian PG. Importantly, based on 16S rDNA datasets, the functional capabilities of microbial communities of PG were deciphered. They suggested the presence of PG autochthonous bacteria recoverable into removal of radioactive elements and toxic heavy metals promotion of plant growth oxidation and reduction of sulfate.
Document type :
Journal articles
Complete list of metadatas

Cited literature [39 references]  Display  Hide  Download

https://hal-cea.archives-ouvertes.fr/cea-02327690
Contributor : Véronique Lamare <>
Submitted on : Thursday, October 24, 2019 - 11:12:41 AM
Last modification on : Wednesday, October 28, 2020 - 9:52:06 AM
Long-term archiving on: : Saturday, January 25, 2020 - 2:33:36 PM

File

TRIFI et al Genomics 2019.pdf
Files produced by the author(s)

Identifiers

Collections

Citation

Houda Trifi, Afef Najjari, Wafa Achouak, Mohamed Barakat, Kais Ghedira, et al.. Metataxonomics of Tunisian phosphogypsum based on five bioinformatics pipelines: Insights for bioremediation. Genomics, Elsevier, In press, ⟨10.1016/j.ygeno.2019.06.014⟩. ⟨cea-02327690⟩

Share

Metrics

Record views

118

Files downloads

187