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      Botanical microbiomes on the cheap: Inexpensive molecular fingerprinting methods to study plant‐associated communities of bacteria and fungi

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          Abstract

          High‐throughput sequencing technologies have revolutionized the study of plant‐associated microbial populations, but they are relatively expensive. Molecular fingerprinting techniques are more affordable, yet yield considerably less information about the microbial community. Does this mean they are no longer useful for plant microbiome research? In this paper, we review the past 10 years of studies on plant‐associated microbiomes using molecular fingerprinting methodologies, including single‐strand conformation polymorphism ( SSCP), denaturing gradient gel electrophoresis ( DGGE), amplicon length heterogeneity PCR ( LHPCR), ribosomal intergenic spacer analysis ( RISA) and automated ribosomal intergenic spacer analysis ( ARISA), and terminal restriction fragment length polymorphism ( TRFLP). We also present data juxtaposing results from TRFLP methods with those generated using Illumina sequencing in the comparison of rhizobacterial populations of Brazilian maize and fungal surveys in Canadian tomato roots. In both cases, the TRFLP approach yielded the desired results at a level of resolution comparable to that of the MiSeq method, but at a fraction of the cost. Community fingerprinting methods (especially TRFLP) remain relevant for the identification of dominant microbes in a population, the observation of shifts in plant microbiome community diversity, and for screening samples before their use in more sensitive and expensive approaches.

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          The Madness of Microbiome: Attempting To Find Consensus “Best Practice” for 16S Microbiome Studies

          ABSTRACT The development and continuous improvement of high-throughput sequencing platforms have stimulated interest in the study of complex microbial communities. Currently, the most popular sequencing approach to study microbial community composition and dynamics is targeted 16S rRNA gene metabarcoding. To prepare samples for sequencing, there are a variety of processing steps, each with the potential to introduce bias at the data analysis stage. In this short review, key information from the literature pertaining to each processing step is described, and consequently, general recommendations for future 16S rRNA gene metabarcoding experiments are made.
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            16S rRNA sequences reveal numerous uncultured microorganisms in a natural community.

            Microbiologists have been constrained in their efforts to describe the compositions of natural microbial communities using traditional methods. Few microorganisms have sufficiently distinctive morphology to be recognized by microscopy. Culture-dependent methods are biased, as a microorganism can be cultivated only after its physiological niche is perceived and duplicated experimentally. It is therefore widely believed that fewer than 20% of the extant microorganisms have been discovered, and that culture methods are inadequate for studying microbial community composition. In view of the physiological and phylogenetic diversity among microorganisms, speculation that 80% or more of microbes remain undiscovered raises the question of how well we know the Earth's biota and its biochemical potential. We have performed a culture-independent analysis of the composition of a well-studied hot spring microbial community, using a common but distinctive cellular component, 16S ribosomal RNA. Our results confirm speculations about the diversity of uncultured microorganisms it contains.
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              A Drought Resistance-Promoting Microbiome Is Selected by Root System under Desert Farming

              Background Traditional agro-systems in arid areas are a bulwark for preserving soil stability and fertility, in the sight of “reverse desertification”. Nevertheless, the impact of desert farming practices on the diversity and abundance of the plant associated microbiome is poorly characterized, including its functional role in supporting plant development under drought stress. Methodology/Principal Findings We assessed the structure of the microbiome associated to the drought-sensitive pepper plant (Capsicum annuum L.) cultivated in a traditional Egyptian farm, focusing on microbe contribution to a crucial ecosystem service, i.e. plant growth under water deficit. The root system was dissected by sampling root/soil with a different degree of association to the plant: the endosphere, the rhizosphere and the root surrounding soil that were compared to the uncultivated soil. Bacterial community structure and diversity, determined by using Denaturing Gradient Gel Electrophoresis, differed according to the microhabitat, indicating a selective pressure determined by the plant activity. Similarly, culturable bacteria genera showed different distribution in the three root system fractions. Bacillus spp. (68% of the isolates) were mainly recovered from the endosphere, while rhizosphere and the root surrounding soil fractions were dominated by Klebsiella spp. (61% and 44% respectively). Most of the isolates (95%) presented in vitro multiple plant growth promoting (PGP) activities and stress resistance capabilities, but their distribution was different among the root system fractions analyzed, with enhanced abilities for Bacillus and the rhizobacteria strains. We show that the C. annuum rhizosphere under desert farming enriched populations of PGP bacteria capable of enhancing plant photosynthetic activity and biomass synthesis (up to 40%) under drought stress. Conclusions/Significance Crop cultivation provides critical ecosystem services in arid lands with the plant root system acting as a “resource island” able to attract and select microbial communities endowed with multiple PGP traits that sustain plant development under water limiting conditions.
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                Author and article information

                Contributors
                damojomo@gmail.com
                Journal
                Appl Plant Sci
                Appl Plant Sci
                10.1002/(ISSN)2168-0450
                APS3
                Applications in Plant Sciences
                John Wiley and Sons Inc. (Hoboken )
                2168-0450
                15 April 2020
                April 2020
                : 8
                : 4 ( doiID: 10.1002/aps3.v8.4 )
                : e11334
                Affiliations
                [ 1 ] Max Planck Tandem Group in Plant Microbial Ecology at the Universidad del Valle Calle 13 #100‐00, Building E20 760032 Cali, Valle del Cauca Colombia
                [ 2 ] Max Planck Institute for Plant Breeding Research Department of Plant Microbe Interactions Carl-von-Linne-Weg 10 D-50829 Cologne Germany
                Author notes
                [*] [* ]Author for correspondence: damojomo@ 123456gmail.com
                Author information
                https://orcid.org/0000-0002-5077-4894
                Article
                APS311334
                10.1002/aps3.11334
                7186905
                42b82ccf-27c8-4a74-b9c3-bb11b2cdab93
                © 2020 Johnston‐Monje and Lopez Mejia. Applications in Plant Sciences is published by Wiley Periodicals, Inc. on behalf of the Botanical Society of America

                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
                : 07 October 2019
                : 28 January 2020
                Page count
                Figures: 2, Tables: 1, Pages: 12, Words: 11031
                Funding
                Funded by: Universidad del Valle , open-funder-registry 10.13039/501100007329;
                Categories
                Review Article
                Review Article
                Invited Special Article
                Custom metadata
                2.0
                April 2020
                Converter:WILEY_ML3GV2_TO_JATSPMC version:5.8.1 mode:remove_FC converted:28.04.2020

                community fingerprinting,denaturing gradient gel electrophoresis (dgge),endophytes,microbiome,mycobiome,phytobiome,rhizosphere,terminal restriction fragment length polymorphism (trflp)

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