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      Community composition of arbuscular mycorrhizal fungi associated with native plants growing in a petroleum‐polluted soil of the Amazon region of Ecuador

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          Abstract

          Arbuscular mycorrhizal fungi ( AMF) are worldwide distributed plant symbionts. However, their occurrence in hydrocarbon‐polluted environments is less investigated, although specific communities may be present with possible interest for remediation strategies. Here, we investigated the AMF community composition associated with the roots of diverse plant species naturally recolonizing a weathered crude oil pond in the Amazon region of Ecuador. Next generation 454 GS‐Junior sequencing of an 800 bp LSU rRNA gene PCR amplicon was used. PCR amplicons were affiliated to a maximum‐likelihood phylogenetic tree computed from 1.5 kb AMF reference sequences. A high throughput phylogenetic annotation approach, using an evolutionary placement algorithm ( EPA) allowed the characterization of sequences to the species level. Fifteen species were detected. Acaulospora species were identified as dominant colonizers, with 73% of relative read abundance, Archaeospora (19.6%) and several genera from the Glomeraceae ( Rhizophagus, Glomus macrocarpum‐like , Sclerocystis, Dominikia and Kamienskia) were also detected. Although, a diverse community belonging to Glomeraceae was revealed, they represented <10% of the relative abundance in the Pond. Seventy five % of the species could not be identified, suggesting possible new species associated with roots of plants under highly hydrocarbon‐polluted conditions.

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          Most cited references23

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          Performance, Accuracy, and Web Server for Evolutionary Placement of Short Sequence Reads under Maximum Likelihood

          We present an evolutionary placement algorithm (EPA) and a Web server for the rapid assignment of sequence fragments (short reads) to edges of a given phylogenetic tree under the maximum-likelihood model. The accuracy of the algorithm is evaluated on several real-world data sets and compared with placement by pair-wise sequence comparison, using edit distances and BLAST. We introduce a slow and accurate as well as a fast and less accurate placement algorithm. For the slow algorithm, we develop additional heuristic techniques that yield almost the same run times as the fast version with only a small loss of accuracy. When those additional heuristics are employed, the run time of the more accurate algorithm is comparable with that of a simple BLAST search for data sets with a high number of short query sequences. Moreover, the accuracy of the EPA is significantly higher, in particular when the sample of taxa in the reference topology is sparse or inadequate. Our algorithm, which has been integrated into RAxML, therefore provides an equally fast but more accurate alternative to BLAST for tree-based inference of the evolutionary origin and composition of short sequence reads. We are also actively developing a Web server that offers a freely available service for computing read placements on trees using the EPA.
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            Arbuscular mycorrhizal fungal responses to abiotic stresses: A review.

            The majority of plants live in close collaboration with a diversity of soil organisms among which arbuscular mycorrhizal fungi (AMF) play an essential role. Mycorrhizal symbioses contribute to plant growth and plant protection against various environmental stresses. Whereas the resistance mechanisms induced in mycorrhizal plants after exposure to abiotic stresses, such as drought, salinity and pollution, are well documented, the knowledge about the stress tolerance mechanisms implemented by the AMF themselves is limited. This review provides an overview of the impacts of various abiotic stresses (pollution, salinity, drought, extreme temperatures, CO2, calcareous, acidity) on biodiversity, abundance and development of AMF and examines the morphological, biochemical and molecular mechanisms implemented by AMF to survive in the presence of these stresses.
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              Aligning short reads to reference alignments and trees.

              Likelihood-based methods for placing short read sequences from metagenomic samples into reference phylogenies have been recently introduced. At present, it is unclear how to align those reads with respect to the reference alignment that was deployed to infer the reference phylogeny. Moreover, the adaptability of such alignment methods with respect to the underlying reference alignment strategies/philosophies has not been explored. It has also not been assessed if the reference phylogeny can be deployed in conjunction with the reference alignment to improve alignment accuracy in this context. We assess different strategies for short read alignment and propose a novel phylogeny-aware alignment procedure. Our alignment method can improve the accuracy of subsequent phylogenetic placement of the reads into a reference phylogeny by up to 5.8 times compared with phylogeny-agnostic methods. It can be deployed to align reads to alignments generated by using fundamentally different alignment strategies (e.g. PRANK(+F) versus MUSCLE). http://www.exelixis-lab.org/software.html
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                Author and article information

                Contributors
                stephan.declerck@uclouvain.be
                Journal
                Microbiologyopen
                Microbiologyopen
                10.1002/(ISSN)2045-8827
                MBO3
                MicrobiologyOpen
                John Wiley and Sons Inc. (Hoboken )
                2045-8827
                16 August 2018
                April 2019
                : 8
                : 4 ( doiID: 10.1002/mbo3.2019.8.issue-4 )
                : e00703
                Affiliations
                [ 1 ] Laboratory of Mycology Earth and Life Institute Université catholique de Louvain Louvain‐la‐Neuve Belgium
                [ 2 ] Laboratorio de micología Carrera de Microbiología, Facultad de Ciencia Exactas y Naturales Pontificia Universidad Católica del Ecuador Quito Ecuador
                [ 3 ] Tecnologico de Monterrey Nuevo México Zapopan México
                [ 4 ] Laboratory of Mycology Mycothèque de l'Université catholique de Louvain (MUCL/BCCM) Earth and Life Institute, Université catholique de Louvain Louvain‐la‐Neuve Belgium
                Author notes
                [*] [* ] Correspondence

                Stéphane Declerck, Laboratory of Mycology, Earth and Life Institute, Université catholique de Louvain, Louvain‐la‐Neuve, Belgium.

                Email: stephan.declerck@ 123456uclouvain.be

                Author information
                http://orcid.org/0000-0002-0459-5975
                Article
                MBO3703
                10.1002/mbo3.703
                6529925
                30117306
                15bbaf0d-fceb-4f7a-ae93-f1f115e33d88
                © 2018 The Authors. MicrobiologyOpen published by John Wiley & Sons Ltd.

                This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

                History
                : 03 May 2018
                : 25 June 2018
                : 28 June 2018
                Page count
                Figures: 2, Tables: 2, Pages: 9, Words: 6705
                Funding
                Funded by: Académie de Recherche et d'enseignement Supérieur Wallonie‐Bruxelles
                Funded by: Commission de la Coopération pour le Dévelopment
                Funded by: Pontificia Universidad Católica del Ecuador
                Categories
                Original Article
                Original Articles
                Custom metadata
                2.0
                mbo3703
                April 2019
                Converter:WILEY_ML3GV2_TO_NLMPMC version:5.6.3 mode:remove_FC converted:22.05.2019

                Microbiology & Virology
                amazonian soil,arbuscular mycorrhizal fungi,ecuador,454‐pyrosequencing,community composition,hydrocarbon ‐ polluted environment

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