Literature DB >> 32943559

Assembly of Bacterial Genomes from the Metagenomes of Three Lichen Species.

Wisnu Adi Wicaksono1, Tomislav Cernava2, Martin Grube3, Gabriele Berg2.   

Abstract

Bacteria have recently emerged as important constituents of lichen holobionts. Here, 29 bacterial metagenome-assembled genome (MAG) sequences were reconstructed from lichen metagenomes and taxonomically classified in four phyla. These results provide a pivotal resource for further exploration of the ecological roles played by bacterial symbionts in lichen holobionts.
Copyright © 2020 Wicaksono et al.

Entities:  

Year:  2020        PMID: 32943559      PMCID: PMC7498425          DOI: 10.1128/MRA.00622-20

Source DB:  PubMed          Journal:  Microbiol Resour Announc        ISSN: 2576-098X


ANNOUNCEMENT

Lichenized fungi are known as symbiotic associations of a mycobiont (fungus) and a photobiont (green alga and/or cyanobacterium). Recently, evidence was found for the presence of bacterial communities that play important roles in this symbiotic system (1–4). Surprisingly little is known about the genomes of dominant but so far uncultured bacteria in these miniature ecosystems. Here, we present bacterial metagenome-assembled genomes (MAGs) that were reconstructed from three lichen metagenome samples, i.e., Lobaria pulmonaria (L.) Hoffm., Cladonia furcata (Huds.) Schrad., and Peltigera polydactylon (Neck.) Hoffm. (3, 5). The selected lichens represent variants of symbiotic associations of the mycobiont with one or two types of photobionts. The lung lichen L. pulmonaria includes a green alga (Dictyochloropsis reticulata) and a cyanobacterium (Nostoc sp.) as photobionts (6), and P. polydactylon includes a cyanobacterium (Nostoc sp.) (7). In contrast, the genus Cladonia includes only a green alga (Asterochloris sp.) (8). Lichen samples were obtained from three locations in Austria (3, 5). Metagenomic DNA was extracted using the MO BIO PowerSoil DNA isolation kit. The metagenomic DNA was sequenced by GATC Biotech (Konstanz, Germany) after libraries were prepared with the Illumina TruSeq DNA library kit. The Illumina HiSeq 2000 (L. pulmonaria) and HiSeq 2500 (C. furcata and P. polydactylon) instruments were used for paired-end 100- or 150-bp sequencing, resulting in >35 million reads per metagenome. Community-level assessments of bacterial functioning using these metagenome data sets were reported elsewhere (3, 5). Default parameters were used for all software unless otherwise noted. Illumina adaptor removal and initial filtering of low-quality reads (Phred scores of <20) were performed using Trimmomatic v0.39 and VSEARCH v2.14.2 (9, 10). Metagenome data sets were then de novo assembled using metaSPAdes v3.14.0 (11). Totals of 103,819, 135,511, and 68,049 contigs with a length of >1 kb were generated from the Cladonia, Lobaria, and Peltigera metagenome data sets, respectively. The generated contigs were binned using MaxBin2 v2.2.7, MetaBAT2 v2.12.1, and CONCOCT v1.1.0 (12–14) and were further dereplicated and aggregated into MAGs using DAS Tool v1.1.1 (15). The completeness and the percentage of contaminations in the MAGs were estimated using CheckM v1.0.13 (16). The quality of the MAGs was classified according to the Minimum Information about a Metagenome-Assembled Genome (MIMAG) standards (17). The Bin Annotation Tool v4.6 was used to obtain the taxonomic classification for each MAG (18). Twenty-nine MAGs with contamination of <10% were recovered. Among them, 7, 17, and 5 MAGs originated from the Cladonia, Lobaria, and Peltigera metagenomes, respectively. The MAGs were assigned to Proteobacteria (20 MAGs), Acidobacteria (3 MAGs), Bacteroidetes (3 MAGs), and Verrumicrobia (1 MAG) (Table 1). One MAG each was classified in the candidate phylum “Candidatus Parcubacteria” and the superphylum Terrabacteria. We recovered 8 high-quality, 18 medium-quality, and 3 low-quality draft MAGs. The estimated completeness of the MAGs ranged from 26.9 to 98.9%, and genome sizes ranged from 492,776 to 5,800,883 bp. To the best of our knowledge, our data present the first MAGs recovered from lichen metagenomes. They provide an extended basis for further exploration of the symbiotic function of lichen-associated bacteria that will be conducted in follow-up studies.
TABLE 1

Detailed taxonomic classification, assembly characteristics, and GenBank accession numbers for bacterial MAGs

MAG aliasTaxonomic classificationCompleteness (%)Contamination (%)Genome size (bp)GC content (%)MIMAG classificationGenBank accession no.
Lichen_MAGs_cladonia1Caulobacter sp. strain S4595.22.53,258,82568.8HighCAHJWH000000000
Lichen_MAGs_cladonia2Sphingomonas96.90.43,049,15066.2HighCAHJWJ000000000
Lichen_MAGs_cladonia3Sphingomonadaceae70.60.42,507,99068.6MediumCAHJWP000000000
Lichen_MAGs_cladonia4Burkholderiaceae86.02.15,800,88360.4MediumCAHJWQ000000000
Lichen_MAGs_cladonia5Rhodospirillales72.94.74,389,35565.7MediumCAHJWS000000000
Lichen_MAGs_cladonia6Acetobacteraceae70.46.34,076,90768.1MediumCAHJXI010000000
Lichen_MAGs_cladonia7Acidobacteriaceae97.26.24,643,71157.8MediumCAHJWN000000000
Lichen_MAGs_lobaria1Acidobacteriaceae98.93.63,786,44261.3HighCAHJWL010000000
Lichen_MAGs_lobaria2Myxococcales90.83.15,830,41863.7HighCAHJWM010000000
Lichen_MAGs_lobaria3Sphingobacteriaceae97.03.03,839,48839.2HighCAHJWG010000000
Lichen_MAGs_lobaria4Acidobacteriaceae96.21.73,656,06260.4HighCAHJWI010000000
Lichen_MAGs_lobaria5Verrucomicrobia91.32.04,381,85963.2HighCAHJWO010000000
Lichen_MAGs_lobaria6Chitinophagaceae97.42.64,287,64435.8HighCAHJWK010000000
Lichen_MAGs_lobaria7Terrabacteria group52.40.22,887,64462.1MediumCAHJWR010000000
Lichen_MAGs_lobaria8Rhizobiales76.70.93,213,07568.9MediumCAHJXE010000000
Lichen_MAGs_lobaria9Sphingobacteriaceae87.11.14,667,68842.1MediumCAHJXH010000000
Lichen_MAGs_lobaria10Sphingomonas77.72.42,792,94068.1MediumCAHJXA010000000
Lichen_MAGs_lobaria11Betaproteobacteria87.82.23,713,33068.9MediumCAHJXF000000000
Lichen_MAGs_lobaria12Sphingomonas66.52.12,627,18469.0MediumCAHJWX010000000
Lichen_MAGs_lobaria13Sphingomonas77.51.32,846,73668.8MediumCAHJWW010000000
Lichen_MAGs_lobaria14Rhodospirillales80.71.23,128,86267.0MediumCAHJWU010000000
Lichen_MAGs_lobaria15Sphingomonadaceae82.10.02,472,74769.6MediumCAHJWT010000000
Lichen_MAGs_lobaria16Deltaproteobacteria26.91.5880,96269.6LowCAHJWZ000000000
Lichen_MAGs_lobaria17Candidatus Parcubacteria”40.01.1492,77648.0LowCAHJXB000000000
Lichen_MAGs_peltigera1Burkholderiales83.85.54,417,12963.3MediumCAHJWV010000000
Lichen_MAGs_peltigera2Rhodospirillales63.71.03,333,20269.5MediumCAHJXG010000000
Lichen_MAGs_peltigera3Sphingomonadaceae54.10.91,837,05368.5MediumCAHJXC010000000
Lichen_MAGs_peltigera4Sphingomonas83.71.12,414,01967.0MediumCAHJXD010000000
Lichen_MAGs_peltigera5Comamonadaceae27.51.71,671,30265.3LowCAHJWY010000000
Detailed taxonomic classification, assembly characteristics, and GenBank accession numbers for bacterial MAGs

Data availability.

This shotgun metagenome project with three lichen metagenomes has been deposited in the European Nucleotide Archive (ENA) database under the study number PRJEB38505 and accession numbers ERR4179389 to ERR4179391 for the data sets. The MAG sequences are accessible under the accession numbers provided in Table 1.
  16 in total

1.  Strong fungal specificity and selectivity for algal symbionts in Florida scrub Cladonia lichens.

Authors:  Rebecca Yahr; Rytas Vilgalys; Paula T Depriest
Journal:  Mol Ecol       Date:  2004-11       Impact factor: 6.185

2.  Binning metagenomic contigs by coverage and composition.

Authors:  Johannes Alneberg; Brynjar Smári Bjarnason; Ino de Bruijn; Melanie Schirmer; Joshua Quick; Umer Z Ijaz; Leo Lahti; Nicholas J Loman; Anders F Andersson; Christopher Quince
Journal:  Nat Methods       Date:  2014-09-14       Impact factor: 28.547

3.  VSEARCH: a versatile open source tool for metagenomics.

Authors:  Torbjørn Rognes; Tomáš Flouri; Ben Nichols; Christopher Quince; Frédéric Mahé
Journal:  PeerJ       Date:  2016-10-18       Impact factor: 2.984

4.  Minimum information about a single amplified genome (MISAG) and a metagenome-assembled genome (MIMAG) of bacteria and archaea.

Authors:  Robert M Bowers; Nikos C Kyrpides; Ramunas Stepanauskas; Miranda Harmon-Smith; Devin Doud; T B K Reddy; Frederik Schulz; Jessica Jarett; Adam R Rivers; Emiley A Eloe-Fadrosh; Susannah G Tringe; Natalia N Ivanova; Alex Copeland; Alicia Clum; Eric D Becraft; Rex R Malmstrom; Bruce Birren; Mircea Podar; Peer Bork; George M Weinstock; George M Garrity; Jeremy A Dodsworth; Shibu Yooseph; Granger Sutton; Frank O Glöckner; Jack A Gilbert; William C Nelson; Steven J Hallam; Sean P Jungbluth; Thijs J G Ettema; Scott Tighe; Konstantinos T Konstantinidis; Wen-Tso Liu; Brett J Baker; Thomas Rattei; Jonathan A Eisen; Brian Hedlund; Katherine D McMahon; Noah Fierer; Rob Knight; Rob Finn; Guy Cochrane; Ilene Karsch-Mizrachi; Gene W Tyson; Christian Rinke; Alla Lapidus; Folker Meyer; Pelin Yilmaz; Donovan H Parks; A M Eren; Lynn Schriml; Jillian F Banfield; Philip Hugenholtz; Tanja Woyke
Journal:  Nat Biotechnol       Date:  2017-08-08       Impact factor: 54.908

5.  Recovery of genomes from metagenomes via a dereplication, aggregation and scoring strategy.

Authors:  Christian M K Sieber; Alexander J Probst; Allison Sharrar; Brian C Thomas; Matthias Hess; Susannah G Tringe; Jillian F Banfield
Journal:  Nat Microbiol       Date:  2018-05-28       Impact factor: 17.745

6.  Robust taxonomic classification of uncharted microbial sequences and bins with CAT and BAT.

Authors:  F A Bastiaan von Meijenfeldt; Ksenia Arkhipova; Diego D Cambuy; Felipe H Coutinho; Bas E Dutilh
Journal:  Genome Biol       Date:  2019-10-22       Impact factor: 13.583

7.  Exploring functional contexts of symbiotic sustain within lichen-associated bacteria by comparative omics.

Authors:  Martin Grube; Tomislav Cernava; Jung Soh; Stephan Fuchs; Ines Aschenbrenner; Christian Lassek; Uwe Wegner; Dörte Becher; Katharina Riedel; Christoph W Sensen; Gabriele Berg
Journal:  ISME J       Date:  2014-07-29       Impact factor: 10.302

8.  Trimmomatic: a flexible trimmer for Illumina sequence data.

Authors:  Anthony M Bolger; Marc Lohse; Bjoern Usadel
Journal:  Bioinformatics       Date:  2014-04-01       Impact factor: 6.937

9.  Deciphering functional diversification within the lichen microbiota by meta-omics.

Authors:  Tomislav Cernava; Armin Erlacher; Ines Aline Aschenbrenner; Lisa Krug; Christian Lassek; Katharina Riedel; Martin Grube; Gabriele Berg
Journal:  Microbiome       Date:  2017-07-19       Impact factor: 14.650

10.  MetaBAT 2: an adaptive binning algorithm for robust and efficient genome reconstruction from metagenome assemblies.

Authors:  Dongwan D Kang; Feng Li; Edward Kirton; Ashleigh Thomas; Rob Egan; Hong An; Zhong Wang
Journal:  PeerJ       Date:  2019-07-26       Impact factor: 2.984

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