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. 2025 Nov 18;14(12):e00647-25. doi: 10.1128/mra.00647-25

Characterization of bacterial communities on volcanic ash and pyroclastic deposits in Nishinoshima, Ogasawara Islands, Japan using 16S rRNA amplicon sequencing

Yuka Homma 1, Tomoyuki Nakano 2, Kazuto Kawakami 3, Hideaki Mori 4, Takashi Kamijo 5, Tomoyasu Nishizawa 1,6,✉
Editor: Elinne Becket7
PMCID: PMC12697101  PMID: 41251357

ABSTRACT

We report bacterial community 16S rRNA amplicon sequencing results to provide insights into the formation process of terrestrial microbial communities on Nishinoshima, which was covered by volcanic ash and pyroclastic deposits from successive eruptions in 2020.

KEYWORDS: bacterial community analysis, volcanic ash, pyroclastic deposit, Nishinoshima

ANNOUNCEMENT

The present Nishinoshima (140°52.5'E, 27°14.8'N), a volcanically active island surrounded by the sea, has been covered with fresh volcanic deposits by the 2020 huge eruption (1). The invasion and colonization of microbes play a crucial role in primary succession within volcanic deposits (2–4). The surface of volcanic ash and pyroclastic deposits (0–5 cm) was collected manually on-site using scoops in October 2016, May 2018, September 2019, and July 2022. In September 2021, the surface of deposits was collected using vacuum-equipped drones operated on the research vessel. Approximately 50 g of the collected samples were packed into sterilized plastic bags, respectively, and stored in a dark place.

Genomic DNA was extracted through a modified CTAB method (5, 6). The bacterial 16S rRNA gene region was amplified by using a 515F/806R primer pair [5′-GTGCCAGCMGGCCGCGGTAA-3′/5′-GGACTACHVGGGTWTCTAAT-3′; (7)]. All PCRs were carried out with 15 µL of Phusion High-Fidelity PCR Master Mix (New England Biolabs Inc., MA, USA), 2 µM of forward and reverse primers, and about 10 ng of template DNA. Thermal cycling consisted of an initial denaturation at 98°C for 1 min, followed by 30 cycles of denaturation at 98°C for 10 sec, annealing at 50°C for 30 sec, and elongation at 72°C for 30 sec. The final step was a 5 min extension at 72°C.

The sequencing was performed on the Illumina NovaSeq 6000 system (Illumina, CA, USA). Adapter-sequence removal was performed using Cutadapt v2.6 (8) (-overlap 3, -e 0.1) with default parameters. The processed sequences were subsequently analyzed using the mothur package v1.48.1 (9) following the standard operating procedure (10). Briefly, the 250 bp paired-end reads were merged (mothur command: make.contigs) and aligned (align.seqs) with the SILVA database v138 (https://www.arb-silva.de/) (11). Quality control was carried out (screen.seqs) and chimeric sequences were identified and removed using the VSEARCH algorithm (chimera.vsearch) (12). Taxonomic classification was performed using 16S rRNA reference (RDP) files v19 (https://sourceforge.net/projects/rdp-classifier/) (13) and sequences classified into non-bacterial taxa were removed (remove.lineage). Operational taxonomic units (OTUs) were clustered with 97.0% sequence identity and consensus classifications were obtained for each OTU (cutoff = 80). Then, taxonomic classification was performed again using RDP v19.

Table 1 shows the number of OTUs, ranging from 5,323 to 8,674, which were generated from 69,865 to 125,481 raw reads. According to the RDP analysis in the Nishinoshima volcanic deposits from 2016 to 2019, the dominant phyla were Pseudomonadota (20.8%), Deinococcota (18.9%), and Bacillota (16.6%) (Fig. 1A). In fresh volcanic ash deposits after the 2020 eruption, the phyla Pseudomonadota (27.8%), Bacillota (16.4%), and Actinomycetota (13.4%) became predominant (Fig. 1A). While the relative abundance within the phylum Pseudomonadota was dominated by Alphaproteobacteria (27.3%), Betaproteobacteria (26.7%), and Gammaproteobacteria (42.7%) in the volcanic deposits of former Nishinoshima, the relative abundances of these classes were 34.7%, 24.5%, and 40.3%, respectively, in fresh volcanic ash deposits (Fig. 1B).

TABLE 1.

Summary of sample features and 16S rRNA gene-based sequence data of Nishinoshima

Sample features
Sampling date/Sample ID Deposit type Sampling location/East longitude, North latitude No. of raw reads Coverage (%) No. of OTUs SRA accession no.
October 2016
 16OI_S0 ash 140°87.38', 27°24.57' 111,542 99.3 6,180 SRR32456516
 16OI_S2 ash 140°87.38', 27°24.57' 107,343 98.1 8,352 SRR32456515
 16OI_S5 ash 140°87.38', 27°24.57' 69,865 99.0 6,649 SRR32456504
 16OI_L pyroclastic 140°87.22', 27°24.67' 115,158 97.9 8,521 SRR32456501
 16NI_L pyroclastic 140°87.30', 27°24.61' 110,203 98.1 7,755 SRR32456500
May 2018
 18OI_A pyroclastic 140°87.31', 27°24.65' 105,426 99.3 6,399 SRR32456499
 18NS_B pyroclastic 140°87.80', 27°24.40' 103,765 97.9 8,144 SRR32456498
September 2019
 19 Nl_Q1 pyroclastic 140°52.39', 27°14.72' 113,449 98.5 7,095 SRR32456497
 19OI_Q2 pyroclastic 140°52.40', 27°14.75' 82,200 98.7 7,120 SRR32456496
 19OI_Q3 pyroclastic 140°52.38', 27°14.77' 103,694 99.5 6,249 SRR32456495
 19 Nl_Q4 pyroclastic 140°52.31', 27°14.88' 114,111 97.8 8,674 SRR32456514
 19 Nl_Q5 pyroclastic 140°87.52', 27°14.49' 125,481 97.9 8,170 SRR32456513
September 2021
 21AE_L1 ash 140°88.17', 27°25.64' 113,691 99.4 5,958 SRR32456512
 21AE_L3 ash 140°87.07', 27°24.62' 114,259 99.6 5,774 SRR32456511
 21AE_L4 ash 140°88.80', 27°25.05' 103,465 99.6 5,733 SRR32456510
 21AE_L6 ash 140°88.96', 27°24.87' 102,746 99.8 5,323 SRR32456509
 21AE_D2 ash with seabird nest 140°87.13', 27°24.61' 103,218 99.6 5,877 SRR32456508
 21AE_D3 ash 140°88.97', 27°24.88' 102,391 99.4 6,057 SRR32456507
 21AE_D4 ash 140°87.19', 27°24.43' 103,511 99.5 5,941 SRR32456506
July 2022
 22AE_N1 ash 140°88.17', 27°25.64' 111,044 99.7 5,664 SRR32456505
 22AE_N2 ash 140°88.21', 27°25.65' 105,517 99.7 5,568 SRR32456503
 22AE_N3 ash 140°88.17', 27°25.64' 78,091 99.8 5,616 SRR32456502

Fig 1.

Stacked bar charts compare bacterial community composition in ash and pyroclastic deposits, highlighting phylum-level and class-level relative abundances with major groups such as Pseudomonadota, Bacillota, and Actinobacteriota.

Relative abundance of bacterial phyla (A) and Pseudomonadota classes (B). The sample IDs are listed in the first column of Table 1. The reference to the phyla and class is shown on the right, respectively.

ACKNOWLEDGMENTS

We thank Yuika Sakashita in Nishizawa Lab for supporting the experimental procedures and The Earthquake Research Institute, The University of Tokyo for providing the 2016 specimens. Some of the samples were collected during environmental surveys conducted by the Ministry of the Environment.

This study was supported by a Japan Society for the Promotion of Science (JSPS) Grant-in-Aid (23K23945 and 25K02336).

Contributor Information

Tomoyasu Nishizawa, Email: tomoyasu.nishizawa.agr@vc.ibaraki.ac.jp.

Elinne Becket, California State University San Marcos, San Marcos, California, USA.

DATA AVAILABILITY

The 16S rRNA gene amplicon data sets are available through NCBI BioProject ID PRJNA1227021. Individual accessions for each sample are listed in Table 1.

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Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Data Availability Statement

The 16S rRNA gene amplicon data sets are available through NCBI BioProject ID PRJNA1227021. Individual accessions for each sample are listed in Table 1.


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