Open access
Environmental Microbiology
Announcement
8 January 2024

Metatranscriptomes of two biological soil crust types from the Mojave desert in response to wetting

ABSTRACT

We present eight metatranscriptomic datasets of light algal and cyanolichen biological soil crusts from the Mojave Desert in response to wetting. These data will help us understand gene expression patterns in desert biocrust microbial communities after they have been reactivated by the addition of water.

ANNOUNCEMENT

Biological soil crusts comprise diverse microbial communities that carry out vital ecological functions in dryland ecosystems (1). Under dry conditions, biocrust microbes primarily persist in dormancy (24). When water becomes available, they quickly respond by exploiting moisture to repair cell damage and synthesize new biomass (5, 6). Nevertheless, the specific gene expression and metabolic processes underlying these responses remain poorly understood.
We sought to compare two kinds of biocrust commonly found in the Sheephole Valley Wilderness (Mojave Desert): light algal crust (LAC) and cyanolichen crust (CLC). In all, 10 biocrust samples, each measuring 5 cm2, were collected at GPS location 34.1736 N, 115.3888 W. Each sample was placed in a 10 cm petri dish with 2 mL of sterile ultrapure water added on top, covered with a petri dish cover, and incubated at ambient laboratory conditions. After 0.5, 6, 18, 30, and 50 h time points, an entire biocrust sample was transferred and stored at −80°C for subsequent total RNA extraction using a NucleoBond RNA Soil Midi kit (740140.20, Macherey-Nagel, Nordrhein-Westfalen, Germany). We pursued rRNA depletion of 100 ng of total RNA using a QIAseq FastSelect 5S/16S/23S kit for bacteria and FastSelect rRNA yeast and plant depletion for eukaryotes (335921, 334219, and 334319, QIAGEN, Germantown, MD) following the manufacturer’s instructions. The resulting RNA was reverse transcribed to create first-strand cDNA using a TruSeq Stranded mRNA Library prep kit (20020594, Illumina Inc., San Diego, CA). To synthesize second-strand cDNA, deoxyuridine triphosphate was incorporated in place of deoxythymidine triphosphate to quench the second strand during amplification and achieve strand specificity. Double-stranded cDNA fragments were A-tailed and ligated to JGI dual-indexed Y-adapters, followed by 10 cycles of PCR. The prepared libraries were quantified using KAPA Biosystems’ next-generation sequencing library qPCR kit and run on a LightCycler 480 real-time PCR instrument (Roche Diagnostics Corporation, Indianapolis, IN). NovaSeq sequencing (Illumina Inc., San Diego, CA) was performed using NovaSeq XP V1 reagent kits and an S4 flowcell following a 2 × 151 bp indexed run recipe. BBDuk version 38.87 (https://jgi.doe.gov/data-and-tools/bbtools/) was used to remove contaminants, trim adapters from Illumina raw sequencing reads, remove any reads that contained “N” bases, and were shorter than 51 bp. Filtered reads were assembled with MEGAHIT version v1.2.9 (7) and mapped back to the final transcriptome assembly and coverage determined using BBMap version 38.86 (8).
Nearly 95% of reads aligned to ribosomal reference sequences in the SILVA database (9) using BBDuk (version 38.87, default settings), suggesting that experimental rRNA depletion was not effective. Nevertheless, these rRNA reads could be assembled and used to comprehensively survey the taxonomic diversity contained within these biocrusts (10). We obtained at least 25 million mRNA reads per sample, of which 80% could be assembled into contigs; this represents an average transcriptome coverage of ~69× and should be sufficient depth for functional analyses of wetting the reanimation process.
TABLE 1
TABLE 1 Accession numbers and characteristics of metatranscriptomes from two types of biological soil crusts, light algal crust (LAC) and cyanolichen crust (CLC), over the course of a re-wetting experiment (times shown indicate sample harvest time post-wetting; CLC samples at 0.5 and 30 h time points did not generate sufficient high-quality RNA yields for sequencing). All contigs are ≥0.1 kb
Meta- transcriptomeNCBI BioSample IDNCBI
BioProject ID
No. of raw readsNo. of filtered readsAssembly BioSample
ID
No. of
Contigs
No. of assembled (150 bp) readsAssembly length
(bp)
Transcriptome coverageN50 (bp)Max contig length (KB)
LAC 0.5 hSAMN17674635PRJNA697426378,329,08415,399,682GKPO0000000058,79512,494,59531,311,78859.9×18,3507.034
LAC 6 hSAMN18245122PRJNA710733406,275,95019,607,874GKPP0000000088,03616,171,06950,130,84248.4×25,38020.259
LAC 18 hSAMN17675269PRJNA697427437,433,13620,442,408GKPN0000000072,02016,932,94138,371,51966.2×22,2897.537
LAC 30 hSAMN17675483PRJNA697428500,168,51220,768,548GKPQ0000000086,68317,426,11650,104,31652.2×24,53214.942
LAC 50 hSAMN17674330PRJNA697429670,916,03438,911,978GKPR00000000109,44832,668,69961,798,53379.3×31,38618.369
CLC 6 hSAMN17674629PRJNA697430590,894,72032,744,316GKPS0000000088,42227,681,58050,698,86581.9×24,70123.151
CLC 18 hSAMN18247024PRJNA710734528,673,37428,175,474GKPT0000000060,08623,018,91435,379,48597.6×15,77119.855
CLC 50 hSAMN18245957PRJNA710735682,130,28029,262,602GKPU0000000094,37523,172,35151,949,06066.9×27,33327.808

ACKNOWLEDGMENTS

We thank the BLM Needles CA office for their assistance with permitting at the Sheephole Valley Wilderness. This work was performed and supported in part by the Facilities Integrating Collaborations for User Science (FICUS) program (proposal: https://doi.org/10.46936/fics.proj.2018.50356/60000035) and used resources at the DOE Joint Genome Institute (JGI) (https://ror.org/04xm1d337) and the National Energy Research Scientific Computing Center (NERSC) (https://ror.org/05v3mvq14), which are DOE Office of Science User Facilities operated under Contract No. DE-AC02-05CH11231; Bureau of Land Management Cooperative Agreement L15AC00153 (NPi) and permit number 6850-CAD0000.06 (NPi and JES); the U.S. Department of Agriculture, National Institute of Food and Agriculture Hatch project CA-R-PPA-211–5062-H to NPo and JES; a Royal Thai Government Scholarship to NPo; and NSF GoLife grant DEB-1541538 and CAREER grant DEB-1846376 to EFYH. JES is a CIFAR fellow in the Fungal Kingdom: Threats and Opportunities program. This is UM’s Center for Biodiversity and Conservation Research Publication No. 39.

REFERENCES

1.
Bowker MA, Maestre FT, Eldridge D, Belnap J, Castillo-Monroy A, Escolar C, Soliveres S. 2014. Biological soil crusts (biocrusts) as a model system in community, landscape and ecosystem ecology. Biodivers Conserv 23:1619–1637.
2.
Rodríguez-Caballero E, Aguilar MÁ, Castilla YC, Chamizo S, Aguilar FJ. 2015. Swelling of biocrusts upon wetting induces changes in surface micro-topography. Soil Biol Biochem 82:107–111.
3.
Leung PM, Bay SK, Meier DV, Chiri E, Cowan DA, Gillor O, Woebken D, Greening C, Stegen JC. 2020. Energetic basis of microbial growth and persistence in desert ecosystems. mSyst 5:e00495-19.
4.
Bay SK, Waite DW, Dong X, Gillor O, Chown SL, Hugenholtz P, Greening C. 2021. Chemosynthetic and photosynthetic bacteria contribute differentially to primary production across a steep desert aridity gradient. ISME J 15:3339–3356.
5.
Karaoz U, Couradeau E, da Rocha UN, Lim H-C, Northen T, Garcia-Pichel F, Brodie EL. 2018. Large blooms of bacillales (firmicutes) underlie the response to wetting of cyanobacterial biocrusts at various stages of maturity. mBio 9:e01366-16.
6.
Steven B, Belnap J, Kuske CR. 2018. Chronic physical disturbance substantially alters the response of biological soil crusts to a wetting pulse, as characterized by metatranscriptomic sequencing. Front Microbiol 9:2382.
7.
Li D, Liu CM, Luo R, Sadakane K, Lam T-W. 2015. MEGAHIT: an ultra-fast single-node solution for large and complex metagenomics assembly via succinct de bruijn graph. Bioinformatics 31:1674–1676.
8.
Bushnell B. 2014. BBMap: a fast, accurate, splice-aware aligner. Lawrence Berkeley National Laboratory LBNL-7065E. Available from: https://escholarship.org/uc/item/1h3515gn
9.
Quast C, Pruesse E, Yilmaz P, Gerken J, Schweer T, Yarza P, Peplies J, Glöckner FO. 2013. The SILVA ribosomal RNA gene database project: improved data processing and web-based tools. Nucleic Acids Res 41:D590–6.
10.
Nuccio EE, Nguyen NH, Nunes da Rocha U, Mayali X, Bougoure J, Weber PK, Brodie E, Firestone M, Pett-Ridge J. 2021. Community RNA-seq: multi-kingdom responses to living versus decaying roots in soil. ISME Commun 1:72.

Information & Contributors

Information

Published In

cover image Microbiology Resource Announcements
Microbiology Resource Announcements
Volume 13Number 215 February 2024
eLocator: e01080-23
Editor: Frank J. Stewart, Montana State University, USA
PubMed: 38189307

History

Received: 16 November 2023
Accepted: 13 December 2023
Published online: 8 January 2024

Keywords

  1. biocrust
  2. RNA
  3. transcriptome
  4. wetting
  5. desert
  6. soil

Data Availability

Raw sequencing data and assemblies are accessible at the NCBI using the BioSample and BioProject IDs listed in Table 1. The data are also available from JGI’s genome portal (https://genome.jgi.doe.gov/portal/ProMicSoilCrusts/ProMicSoilCrusts.info.html) or GOLD database (https://gold.jgi.doe.gov/study?id=Gs0142145).

Contributors

Authors

Department of Biology and Center for Biodiversity and Conservation Research, University, University of Mississippi, Mississippi, USA
Author Contributions: Data curation, Formal analysis, Investigation, Methodology, Validation, Writing – original draft, and Writing – review and editing.
Department of Microbiology and Plant Pathology, University of California, Riverside, California, USA
Author Contributions: Investigation and Methodology.
Present address: Department of Microbiology, Faculty of Science, Chulalongkorn University, Bangkok, Thailand
US Department of Energy Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, California, USA
Author Contributions: Formal analysis and Methodology.
US Department of Energy Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, California, USA
Author Contributions: Methodology and Supervision.
Brian Foster
US Department of Energy Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, California, USA
Author Contributions: Formal analysis and Methodology.
Bryce Foster
US Department of Energy Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, California, USA
Author Contribution: Methodology.
US Department of Energy Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, California, USA
Author Contribution: Methodology.
Krishnaveni Palaniappan
US Department of Energy Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, California, USA
Author Contribution: Methodology.
US Department of Energy Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, California, USA
Author Contributions: Formal analysis and Methodology.
US Department of Energy Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, California, USA
Author Contribution: Data curation.
US Department of Energy Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, California, USA
Author Contribution: Data curation.
US Department of Energy Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, California, USA
Author Contributions: Supervision and Methodology.
US Department of Energy Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, California, USA
Author Contributions: Supervision and Methodology.
I-Min A. Chen
US Department of Energy Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, California, USA
Author Contributions: Methodology and Supervision.
US Department of Energy Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, California, USA
Author Contributions: Supervision and Methodology.
US Department of Energy Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, California, USA
Author Contributions: Supervision and Methodology.
US Department of Energy Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, California, USA
Author Contribution: Project administration.
US Department of Energy Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, California, USA
Author Contributions: Methodology and Supervision.
School of Life Sciences, University of Nevada-Las Vegas, Las Vegas, Nevada, USA
Author Contributions: Conceptualization, Funding acquisition, Investigation, Methodology, Resources, Supervision, and Writing – review and editing.
Department of Microbiology and Plant Pathology, University of California, Riverside, California, USA
Author Contributions: Conceptualization, Funding acquisition, Investigation, Methodology, Resources, Supervision, and Writing – review and editing.
Department of Biology and Center for Biodiversity and Conservation Research, University, University of Mississippi, Mississippi, USA
Author Contributions: Conceptualization, Funding acquisition, Investigation, Methodology, Project administration, Resources, Supervision, Validation, Writing – original draft, and Writing – review and editing.

Editor

Frank J. Stewart
Editor
Montana State University, USA

Notes

The authors declare no conflict of interest.

Metrics & Citations

Metrics

Note:

  • For recently published articles, the TOTAL download count will appear as zero until a new month starts.
  • There is a 3- to 4-day delay in article usage, so article usage will not appear immediately after publication.
  • Citation counts come from the Crossref Cited by service.

Citations

If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. For an editable text file, please select Medlars format which will download as a .txt file. Simply select your manager software from the list below and click Download.

View Options

Figures and Media

Figures

Media

Tables

Share

Share

Share the article link

Share with email

Email a colleague

Share on social media

American Society for Microbiology ("ASM") is committed to maintaining your confidence and trust with respect to the information we collect from you on websites owned and operated by ASM ("ASM Web Sites") and other sources. This Privacy Policy sets forth the information we collect about you, how we use this information and the choices you have about how we use such information.
FIND OUT MORE about the privacy policy