ABSTRACT
We present draft-quality genomes of eight cultured microbes isolated from two soil sites with different levels of leaf cover in Wellesley, MA. This dataset includes representatives of taxa including Pedobacter, Bacillus, Paenibacillus, Streptomyces, and Flavobacterium.
KEYWORDS: soil
ANNOUNCEMENT
Soil microbial communities are critical to the health, productivity, and functionality of terrestrial ecosystems through their contributions to biogeochemical cycling and interactions with plants (1, 2). Understanding soil microbial diversity can inform sustainable agricultural practices, provide insights into the functional roles of microbial groups, and aid in managing environmental health (3, 4). Leaf litter affects microbial nutrient cycling by adding nutrients to soils, thereby influencing microbial metabolism and shaping community composition (5). To expand our understanding of soil microbial genomic diversity and explore the impact of leaf litter cover, we sequenced a set of microbes isolated from the suburban campus of Wellesley College (Wellesley, MA, USA). Microbes were sampled from two sites near the Munger residence hall (42° 17′ 43″ N, 71° 18′ 22″ W). One site had exposed, compacted soil associated with its presence along a commonly used footpath, while the other site (approximately 5 m away) was less impacted and covered with ~15 cm of oak leaf cover. Approximately 100 g of surface soil was collected from each of the two locations. Replicate ~2 g subsamples of soil were mixed with sterile PBS buffer, and then the diluted cell suspensions were spread onto R2A agar plates (6) and grown at 30°C for three days. Individual colonies were purified by re-streaking for single colonies twice on fresh R2A plates and grown as before.
Four colonies from each of the two sampling sites were randomly chosen for sequencing. These isolates were grown overnight at 30°C in liquid R2A media with shaking (250 rpm). Genomic DNA was extracted from cells pelleted from 2 mL of culture using the NEB Monarch Genomic DNA extraction kit, yielding 4–30 µg of DNA as measured with the Qubit 1X dsDNA High Sensitivity kit (Invitrogen). Total genomic DNA libraries for nanopore sequencing were prepared without size selection using the Oxford Nanopore rapid sequencing DNA V14 Barcoding Kit (SQK-RBK114.24). The pooled libraries were then loaded into an Oxford Nanopore MinION R10.4.1 flow cell and sequenced using a Mk1B sequencer for 48 h. Raw Nanopore data were processed using Dorado 0.9.1 (https://github.com/nanoporetech/dorado) in SUP mode, generating 65,133–1,218,550 reads per sample (Table 1). All extraction and library preparation protocols were carried out following the manufacturers’ instructions.
TABLE 1.
Genome assembly summary data
| Strain ID | Site | Total reads | Read N50 (bp) | Total sequence data (bp) | Total contigs | Plasmid contigs | Assembly length (bp) | Assembly GC (%) | Assembly N50 (bp) | Nanopore coverage (×) | GTDB taxonomy (genus) | CheckM completeness (%) | CheckM contamination (%) | Predicted genes (total) | Assembly accession | SRA raw data accession |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| WC2501 | Leaf covered | 632,068 | 6,142 | 1,575,797,205 | 1 | 0 | 6,241,392 | 38.4 | 6,241,392 | 252 | Pedobacter | 98.09 | 0.66 | 5,198 | GCA_052682415.1 | SRR35310660 |
| WC2502 | Exposed | 621,153 | 8,525 | 2,025,664,145 | 2 | 0 | 3,737,437 | 41.7 | 3,723,327 | 542 | Bacillus | 99.59 | 0 | 3,825 | GCA_052682445.1 | SRR35310659 |
| WC2503 | Exposed | 1,051,143 | 7,740 | 3,367,740,353 | 2 | 1 | 5,629,584 | 35.3 | 5,317,538 | 598 | Bacillus_A | 99.43 | 0.31 | 5,752 | GCA_052682895.1 | SRR35310658 |
| WC2504 | Exposed | 185,637 | 12,439 | 919,682,998 | 1 | 0 | 8,179,892 | 46.0 | 8,179,892 | 112 | Paenibacillus_E | 99.19 | 1.52 | 7,485 | GCA_052682475.1 | SRR35310657 |
| WC2507 | Leaf covered | 65,133 | 10,755 | 200,034,471 | 3 | 1 | 5,789,317 | 35.2 | 5,339,450 | 35 | Bacillus | 99.43 | 0.22 | 6,011 | GCA_052656125.1 | SRR35310656 |
| WC2508 | Leaf covered | 352,818 | 6,487 | 882,731,881 | 4 | 2 | 9,489,572 | 70.8 | 7,519,079 | 93 | Streptomyces | 99.88 | 1.86 | 8,391 | GCA_052656385.1 | SRR35310655 |
| WC2509 | Leaf covered | 1,218,550 | 8,121 | 4,048,993,377 | 1 | 0 | 4,508,346 | 33.1 | 4,508,346 | 898 | Flavobacterium | 98.94 | 1.06 | 3,737 | GCA_052683105.1 | SRR35310654 |
| WC2510 | Exposed | 191,642 | 5,477 | 313,389,403 | 3 | 1 | 3,721,180 | 41.7 | 3,685,107 | 84 | Bacillus | 99.59 | 0 | 3,817 | GCA_052656105.1 | SRR35310653 |
Genome assembly steps were performed using KBase (7), and default parameters were used for all software tools. The FASTQ format sequence data generated by Dorado were first filtered using Filtlong v0.2.1 (https://github.com/rrwick/Filtlong) and then assembled with Flye v2.9.4 (8). Assembly quality was assessed using the CheckM v1.1.2 lineage-specific workflow (9). geNomad v1.8.0 was used to identify putative plasmids in the assemblies (10). Taxonomic classifications were conducted using GTDB-Tk v1.7.0 (11). Genomes were annotated by NCBI using the NCBI Prokaryotic Genome Annotation Pipeline v6.10 (12).
We obtained eight high-quality draft genome assemblies, ranging between 3.73–9.49 Mbp in length and 33–71%GC (Table 1). All sequences are estimated to be >98% complete and contain <1.9% contamination. Genomes were identified as members of the genera Pedobacter, Bacillus, Paenibacillus, Streptomyces, and Flavobacterium.
ACKNOWLEDGMENTS
This work was supported by Wellesley College.
The authors would like to thank the KBase Educators Group and KBase staff for their assistance.
Contributor Information
Steven J. Biller, Email: sbiller@wellesley.edu.
Leighton Pritchard, University of Strathclyde, Glasgow, United Kingdom.
DATA AVAILABILITY
All sequence data are available under NCBI BioProject PRJNA1321493 and via the specific accession numbers listed in Table 1. Data analyses can be accessed through KBase via the overview narrative at https://doi.org/10.25982/229295.9/2589424
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Associated Data
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Data Availability Statement
All sequence data are available under NCBI BioProject PRJNA1321493 and via the specific accession numbers listed in Table 1. Data analyses can be accessed through KBase via the overview narrative at https://doi.org/10.25982/229295.9/2589424
