2015
DOI: 10.1111/jam.12756
|View full text |Cite
|
Sign up to set email alerts
|

Reconstructed metagenomes reveal changes of microbial functional profiling during PAHs degradation along a rice (Oryza sativa) rhizosphere gradient

Abstract: Aims: The response of microbial metagenome to polycyclic aromatic hydrocarbons (PAHs) degradation in the rice rhizosphere remains poorly understood. We investigated the spatial and temporal variations of microbial communities and reconstructed metagenomes along the rice rhizosphere gradient during PAHs degradation. Methods and Results: The experiment was performed in rhizoboxes, in which the rhizosphere region was divided into five 1-mm thick layers. Based on denaturant gradient gel electrophoresis profiling a… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1

Citation Types

0
15
0

Year Published

2016
2016
2020
2020

Publication Types

Select...
4
3

Relationship

0
7

Authors

Journals

citations
Cited by 25 publications
(16 citation statements)
references
References 47 publications
0
15
0
Order By: Relevance
“…Recently, Langille et al [22] developed the software Phylogenetic Investigation of Communities by Reconstruction of Unobserved States (PICRUSt), which analyzes microbial function by combining phylogenetic analyses and genome database data to predict functional profiles. To date, PICRUSt has contributed to our understanding of microbial functional profiles in the animal gut [23], human mouth [24], ocean [25], and soil [26]. …”
Section: Introductionmentioning
confidence: 99%
“…Recently, Langille et al [22] developed the software Phylogenetic Investigation of Communities by Reconstruction of Unobserved States (PICRUSt), which analyzes microbial function by combining phylogenetic analyses and genome database data to predict functional profiles. To date, PICRUSt has contributed to our understanding of microbial functional profiles in the animal gut [23], human mouth [24], ocean [25], and soil [26]. …”
Section: Introductionmentioning
confidence: 99%
“…As an example, hybrid poplars had been used to take up and degrade trichloroethylene (TCE), which is a common pollutant of groundwater that is both hepatoxic and carcinogenic for humans [21]. Other example of victorious application of phytodegradation includes the use of multiple plant species to degrade carbon tetrachloride (CT) and perchloroethylene [22]. Phytodegradation also had been shown to be successful for polycyclic aromatic hydrocarbons (PAHs) and explosives including trinitrotoluene (TNT) [21,23].…”
Section: Standard Approaches For Phytoremediation Of Contaminated Sitesmentioning
confidence: 99%
“…Moreover, microorganisms can also impact the potential uptake of pollutants including the uptake and translocation of heavy metals from roots to shoots of plants [23]. Overall, microbial communities that are able to create associations with plants can influence plants growth and development both positively and negatively which as a consequence will alter plants ability to remediate the soil [22]. Contaminants such as heavy metals can be also either transformed by specific microorganisms in rhizosphere or be taken up and translocated by plants.…”
Section: Metagenomic Approach To Enhance Phytoremediation Efficiencymentioning
confidence: 99%
See 1 more Smart Citation
“…Microbial taxa are defined by genetic variation of any genomic locus grouped as operational taxonomic units (OTUs) (Koeppel & Wu, 2013). In recent decades, the development of cultivation-independent techniques associated with next-generation sequencing (NGS) have stimulated the investigation of the microbial diversity involved in the PAHs degradation (Flocco, Gomes, Mac Cormack, & Smalla, 2009;Gomes et al, 2007;Jurelevicius et al, 2012;Ma et al, 2015;Wu et al, 2014). In addition, biogeography studies has helped to elucidate the evolutionary relationship (governed by selection, drift, dispersal, and mutation processes) of living creatures through genetic proximity between samples from different environments, and thus understand their distribution patterns in space and over time (Hanson, Fuhrman, Horner-Devine, & Martiny, 2012).…”
mentioning
confidence: 99%