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pmid:29991752

Hydrothermal chimneys host habitat-specific microbial communities: analogues for studying the possible impact of mining seafloor massive sulfide deposits.

Yuchen Han · Giorgio Gonnella · Nicole Adam · Axel Schippers · Lia Burkhardt · Stefan Kurtz · Ulrich Schwarz-Schampera · Henrike Franke · Mirjam Perner

Scientific reports · 2018 doi:10.1038/s41598-018-28613-5

Paper

complete

Experiment

partial

Data

partial

Analysis

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Execution

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Record details sci_version · id · kind · revision · content_hash · schema · created_at · updated_at · generator
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pmid:29991752
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title
Hydrothermal chimneys host habitat-specific microbial communities: analogues for studying the possible impact of mining seafloor massive sulfide deposits.
doi
10.1038/s41598-018-28613-5
pmid
29991752
authors array · 9 items
[0]
Yuchen Han
[1]
Giorgio Gonnella
[2]
Nicole Adam
[3]
Axel Schippers
[4]
Lia Burkhardt
[5]
Stefan Kurtz
[6]
Ulrich Schwarz-Schampera
[7]
Henrike Franke
[8]
Mirjam Perner
journal
Scientific reports
year
2018
abstract
To assess the risk that mining of seafloor massive sulfides (SMS) from extinct hydrothermal vent environments has for changing the ecosystem irreversibly, we sampled SMS analogous habitats from the Kairei and the Pelagia vent fields along the Indian Ridge. In total 19.8 million 16S rRNA tags from 14 different sites were analyzed and the microbial communities were compared with each other and with publicly available data sets from other marine environments. The chimneys appear to provide habitats for microorganisms that are not found or only detectable in very low numbers in other marine habitats. The chimneys also host rare organisms and may function as a vital part of the ocean's seed bank. Many of the reads from active and inactive chimney samples were clustered into OTUs, with low or no resemblance to known species. Since we are unaware of the chemical reactions catalyzed by these unknown organisms, the impact of this diversity loss and bio-geo-coupling is hard to predict. Given that chimney structures can be considered SMS analogues, removal of sulfide deposits from the seafloor in the Kairei and Pelagia fields will most likely alter microbial compositions and affect element cycling in the benthic regions and probably beyond.
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The UPGMA clustering of the samples, based on beta diversity analyses, yielded quite different results depending on whether de novo and/or reference-based OTUs were considered and whether the Sørensen-Dice or Bray-Curtis index was used for analyses (Fig. 1).
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sections[9] "Specificity and relatedness of the different Kairei and Pelagia communities" paragraph 2
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The UPGMA clustering of the samples, based on beta diversity analyses, yielded quite different results depending on whether de novo and/or reference-based OTUs were considered and whether the Sørensen-Dice or Bray-Curtis index was used for analyses (Fig. 1).
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sections[21] "Data availability" paragraph 2
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Sequence data have been deposited in the National Center for Biotechnology Information Sequence Read Archive (SRA) under accession no. SRP120106.
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Using beta-diversity analyses of 19.8 million 16S rRNA tags from 14 sites, compared with publicly available marine datasets, the study found that hydrothermal chimneys host habitat-specific microorganisms and that their removal by SMS mining would most likely alter microbial compositions and affect element cycling.
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In total 19.8 million 16S rRNA tags from 14 different sites were analyzed and the microbial communities were compared with each other and with publicly available data sets from other marine environments.
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sections[2] "Results and Discussion" paragraph 2
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Using beta diversity analyses we investigated the similarities and dissimilarities among the samples in the Kairei and Pelagia environments and illustrated their relation to samples from comparable biotopes available from the literature.
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sections[0] "Abstract" paragraph 1
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Given that chimney structures can be considered SMS analogues, removal of sulfide deposits from the seafloor in the Kairei and Pelagia fields will most likely alter microbial compositions and affect element cycling in the benthic regions and probably beyond.
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Using beta-diversity analyses of 19.8 million 16S rRNA tags from 14 sites, compared with publicly available marine datasets, the study found that hydrothermal chimneys host habitat-specific microorganisms and that their removal by SMS mining would most likely alter microbial compositions and affect element cycling.
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Semi-quantitative distribution of sulfide minerals and main element compositions of hydrothermal precipitates from the Kairei and Pelagia hydrothermal vent fields.
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Semi-quantitative distribution of sulfide minerals and main element compositions of hydrothermal precipitates from the Kairei and Pelagia hydrothermal vent fields.
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fragment of beehive shaped inactive chimney,Pelagia HF
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Bacterial and archaeal communities of the Kairei and Pelagia areas
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Total cell counts and number of analyzed 16S rRNA genes.
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The UPGMA clustering of the samples, based on beta diversity analyses, yielded quite different results depending on whether de novo and/or reference-based OTUs were considered and whether the Sørensen-Dice or Bray-Curtis index was used for analyses (Fig. 1).
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Complete file
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In total 19.8 million 16S rRNA tags from 14 different sites were analyzed and the microbial communities were compared with each other and with publicly available data sets from other marine environments. The chimneys appear to provide habitats for microorganisms that are not found or only detectable in very low numbers in other marine habitats. The chimneys also host rare organisms and may function as a vital part of the ocean's seed bank. Many of the reads from active and inactive chimney samples were clustered into OTUs, with low or no resemblance to known species. Since we are unaware of the chemical reactions catalyzed by these unknown organisms, the impact of this diversity loss and bio-geo-coupling is hard to predict. Given that chimney structures can be considered SMS analogues, removal of sulfide deposits from the seafloor in the Kairei and Pelagia fields will most likely alter microbial compositions and affect element cycling in the benthic regions and probably beyond.", "claims": [{"id": "claim-method", "statement": "The UPGMA clustering of the samples, based on beta diversity analyses, yielded quite different results depending on whether de novo and/or reference-based OTUs were considered and whether the Sørensen-Dice or Bray-Curtis index was used for analyses (Fig. 1).", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:29991752", "locator": "sections[9] \"Specificity and relatedness of the different Kairei and Pelagia communities\" paragraph 2", "quote": "The UPGMA clustering of the samples, based on beta diversity analyses, yielded quite different results depending on whether de novo and/or reference-based OTUs were considered and whether the Sørensen-Dice or Bray-Curtis index was used for analyses (Fig. 1)."}], "state": "complete"}, {"id": "claim-data-access", "statement": "Sequence data have been deposited in the National Center for Biotechnology Information Sequence Read Archive (SRA) under accession no. SRP120106.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:29991752", "locator": "sections[21] \"Data availability\" paragraph 2", "quote": "Sequence data have been deposited in the National Center for Biotechnology Information Sequence Read Archive (SRA) under accession no. SRP120106."}], "state": "complete"}, {"id": "claim-target-result", "statement": "Using beta-diversity analyses of 19.8 million 16S rRNA tags from 14 sites, compared with publicly available marine datasets, the study found that hydrothermal chimneys host habitat-specific microorganisms and that their removal by SMS mining would most likely alter microbial compositions and affect element cycling.", "kind": "qualitative", "target": null, "evidence": [{"asset": "source:pmid:29991752", "locator": "sections[0] \"Abstract\" paragraph 1", "quote": "In total 19.8 million 16S rRNA tags from 14 different sites were analyzed and the microbial communities were compared with each other and with publicly available data sets from other marine environments."}, {"asset": "source:pmid:29991752", "locator": "sections[2] \"Results and Discussion\" paragraph 2", "quote": "Using beta diversity analyses we investigated the similarities and dissimilarities among the samples in the Kairei and Pelagia environments and illustrated their relation to samples from comparable biotopes available from the literature."}, {"asset": "source:pmid:29991752", "locator": "sections[0] \"Abstract\" paragraph 1", "quote": "Given that chimney structures can be considered SMS analogues, removal of sulfide deposits from the seafloor in the Kairei and Pelagia fields will most likely alter microbial compositions and affect element cycling in the benthic regions and probably beyond."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "partial", "objective": "Using beta-diversity analyses of 19.8 million 16S rRNA tags from 14 sites, compared with publicly available marine datasets, the study found that hydrothermal chimneys host habitat-specific microorganisms and that their removal by SMS mining would most likely alter microbial compositions and affect element cycling.", "steps": [{"id": "read_published_estimate", "order": 1, "name": "Read the published estimate from the source", "kind": "other", "state": "complete", "blocked_on": null, "description": "The claim, method and evidence span published with the source article.", "duration_hours": null, "parameters": {}, "inputs": ["source:pmid:29991752"], "outputs": ["the published estimate and its evidence"], "instruments": [], "reagents": []}, {"id": "obtain_source_data", "order": 2, "name": "Obtain the source data from the named repository", "kind": "data-preparation", "state": "blocked", "blocked_on": "data:accession_unresolved", "description": "The GEO series accession resolves and its sample accessions are listed. 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SRP120106.", "access_statement_kind": "data_availability_statement", "sample_accessions": [], "sample_count": null, "group_sizes": null, "group_sizes_basis": null, "platform": null, "taxon": null, "title": null, "resolution_checked_at": "2026-10-31T18:35:43Z", "resolution_check": "identifier_resolution_only_no_download_no_licence_read", "downloaded": false, "licence_read": false}}, {"id": "asset:table:pmid:29991752:1", "role": "table", "format": "jats-table", "media_type": "application/vnd.jats.table+json", "uri": null, "sha256": "sha256:f73fd33000ff761fcde12fbd65f26c6d08abe24cc0ad5af310350d8634929386", "bytes": 1575, "access": "open", "state": "verified", "reader": "read_table", "reader_status": "available", "identifier": "section[3]/table-wrap[1]#Tab1", "version": null, "note": "Semi-quantitative distribution of sulfide minerals and main element compositions of hydrothermal precipitates from the Kairei and Pelagia hydrothermal vent fields.", "structure": {"pmcid": "PMC6039533", "section_index": 3, "section_title": "Mineralogical and geochemical relations of hydrothermal precipitates", "row_count": 10, "column_count": 5}, "table": {"label": "Table 1", "caption": "Semi-quantitative distribution of sulfide minerals and main element compositions of hydrothermal precipitates from the Kairei and Pelagia hydrothermal vent fields.", "rows": [["Sample", "", "Semi-quantitative mineral composition", "Quantitative main element composition", "Description"], ["Kairei area"], ["INDEX2016-06ROV03-A", "S1", "ccp+++py/mrc+sp++", "Cu: 12.6–25.8 wt.%Fe: 18.5–25.6 wt.%Zn: 10.3–29.7 wt.%", "fragment of inactive chimney,Kairei active zone"], ["INDEX2016-06ROV03-N", "S2", "ccp 0py/mrc+++sp+++iso 0", "Cu: 0.3–0.4 wt.%Fe: 23.8–28.3 wt.%Zn: 28.9–31.7 wt.%", "inactive beehive shaped chimney,Kairei inactive zone"], ["INDEX2016-12ROV06-E", "S7", "ccp +++py/mrc+sp++", "Cu: 18.1–26.2 wt.%Fe: 21.2–28.4 wt.%Zn: 6.8–24.3 wt.%", "inactive chimney edifice,Kairei active zone"], ["INDEX2016-12ROV06-F", "S8", "ccp+++py/mrc+sp++anh 0", "Cu: 25.3–26.5 wt.%Fe: 27.1–29.0 wt.%Zn: 6.5–10.7 wt.%", "fragment of active chimney,Kairei HF"], ["Pelagia area"], ["INDEX2016-16ROV08-E", "S5", "ccp+py/mrc+++sp +", "Cu: 1.3–7.4 wt.%Fe: 33.3–44.4 wt.%Zn: 0.9–12.2 wt.%", "active beehive shaped chimney,Pelagia HF"], ["INDEX2016-20ROV10-G", "S6", "ccp 0py/mrc+++po+sp++iso +", "Cu: 1.5–1.7 wt.%Fe: 41.5–42.2 wt.%Zn: 7.0–7.1 wt.%", "fragment of active chimney,Pelagia HF"], ["INDEX2016-20ROV10-J", "S4", "ccp 0py/mrc+++sp+", "Cu: 0.1–0.8 wt.%Fe: 29.9–36.2 wt.%Zn: 0.5–3.3 wt.%", "fragment of beehive shaped inactive chimney,Pelagia HF"]], "row_count": 10, "column_count": 5, "numeric_cells": 18, "header_rows": 1, "locator": "section[3]/table-wrap[1]#Tab1"}}, {"id": "asset:table:pmid:29991752:2", "role": "table", "format": "jats-table", "media_type": "application/vnd.jats.table+json", "uri": null, "sha256": "sha256:5f38b07c8665e9533508808528bd0db110cf56a247bfb6ba0c5d056373be1621", "bytes": 1855, "access": "open", "state": "verified", "reader": "read_table", "reader_status": "available", "identifier": "section[4]/table-wrap[1]#Tab2", "version": null, "note": "Total cell counts and number of analyzed 16S rRNA genes.", "structure": {"pmcid": "PMC6039533", "section_index": 4, "section_title": "Bacterial and archaeal communities of the Kairei and Pelagia areas", "row_count": 20, "column_count": 6}, "table": {"label": "Table 2", "caption": "Total cell counts and number of analyzed 16S rRNA genes.", "rows": [["Sample name", "Sample name", "Location and sample types", "Cell number per ml", "Number of 16S rRNA sequences"], ["bacteria", "archaea"], ["open ocean sample"], ["INDEX2016-01PS", "RF1", "sea water, depth 2180 m, approx. 10 km away from Kairei venting site", "1.62E +04 ± 3.61E+03", "631890", "766553"], ["INDEX2016-15PS", "RF4", "sea water, depth 3566 m; approx. 10 km away from Pelagia venting site", "1.30E +04 ± 1.56E+03", "679918", "641362"], ["Kairei area"], ["INDEX2016-09PS", "F5", "water sample from just above the plume, 2327 m depth", "1.50E +04 ± 1.80E+03", "815297", "879790"], ["INDEX2016-06ROV-03-KIPS-B", "F1", "low temperature hydrothermal diffuse fluids (23 °C)", "1.23E +05 ± 5.74E+04", "757618", "940285"], ["INDEX2016-12ROV06-F", "S8", "active chimney", "no data", "542480", "315288"], ["INDEX2016-06ROV03-A", "S1", "inactive chimney, Kairei active zone", "no data", "920258", "1140926"], ["INDEX2016-06ROV-03-N", "S2", "inactive chimney, Kairei inactive zone", "no data", "619471", "no data"], ["INDEX2016-12ROV06-E", "S7", "inactive chimney, Kairei active zone", "no data", "575095", "504492"], ["Pelagia area"], ["INDEX2016-17PS plume max", "F9", "plume water sample, 3643 m depth", "1.38E +04 ± 8.01E+03", "897847", "1044117"], ["INDEX2016-16ROV08-B", "S3", "sulfide talus", "no data", "921885", "853219"], ["INDEX2016-16ROV08-KIPS-B", "F6", "hydrothermal diffuse fluid (153 °C)", "3.89E +04 ± 4.29E+03", "980269", "966748"], ["INDEX2016-16ROV08-E", "S5", "active chimney", "no data", "637597", "420015"], ["INDEX2016-20ROV10-G", "S6", "active chimney", "no data", "600895", "422585"], ["INDEX2016-20ROV10-J", "S4", "inactive chimney", "no data", "717195", "697248"], ["TOTAL", "", "", "", "10297715", "9592628"]], "row_count": 20, "column_count": 6, "numeric_cells": 56, "header_rows": 2, "locator": "section[4]/table-wrap[1]#Tab2"}}], "gaps": ["asset:data:geo:SRP120106 not downloaded", "asset:data:geo:SRP120106 licence not read"]}, "analysis": {"state": "partial", "methods": [{"id": "method-1", "family": null, "specific": null, "label": "UPGMA clustering based on beta diversity analyses using Sørensen-Dice and Bray-Curtis distances", "dsl_operations": [], "missing_operations": [], "expressible": null, "parameters": {}, "data_shapes": [], "evidence": {"score": 1.0, "band": "verbatim", "quote": "The UPGMA clustering of the samples, based on beta diversity analyses, yielded quite different results depending on whether de novo and/or reference-based OTUs were considered and whether the Sørensen-Dice or Bray-Curtis index was used for analyses (Fig. 1)."}}], "targets": [], "gaps": ["method.reader_named_unmapped"]}, "capability": {"state": "complete", "requirements": [{"capability_id": "capability:computational_analysis", "label": "Computational analysis platform", "assay_families": ["meta_analysis", "machine_learning", "survival_analysis", "statistical_regression", "pca", "molecular_docking", "network_analysis", "differential_expression", "gwas"], "availability_state": "owned", "tier_unlocked": "R1", "candidate": "Automated Assays Laravel application and simulated adapters"}], "gaps": []}, "readiness": {"state": "blocked", "tier": "R4", "blocking_axis": "data", "blocked_on": "data:accession_absent", "axes": {"method": {"tier": "R4", "expressible": false, "required_operations": [], "missing_operations": [], "basis": "The reader quoted the method the paper names (UPGMA clustering based on beta diversity analyses using Sørensen-Dice and Bray-Curtis distances), but the corpus's method extractor could not map it onto a DSL operation, so the method is published but not expressible."}, "capability": {"tier": "R1", "capability_id": "capability:computational_analysis", "availability_state": "owned", "basis": "The computational analysis is owned. 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