Table · dataset · 2026
<b>How much is enough? Optimising sampling frames for genomic surveillance of </b><b><i>Escherichia coli</i></b><b> and </b><b><i>Klebsiella</i></b><b> spp. bloodstream infections – a retrospective study</b> - Supplementary data files.
Listed in HKU DataHub and figshare and Loughborough Research Repository and UP Research Data Repository — shown once because both records carry DOI 10.6084/m9.figshare.32326584.v2
Description
<p dir="ltr"><b>Background</b>: Optimising sampling frames for genomic surveillance of <i>E. coli</i> and <i>Klebsiella </i>may support interventions to mitigate bloodstream infections (BSIs), but approaches to estimating sample size and how these relate to bacterial population diversity at multiple genetic levels (strain/plasmid/antimicrobial resistance genes</p><p dir="ltr">[ARGs]) are lacking.</p><p dir="ltr"><b>Methods</b>: Using systematically collected, regionally-stratified, whole genome sequencing data from a 6-month genomic survey of English <i>E. coli</i>/<i>Klebsiella</i> BSI isolates (n=1,939; NEKSUS), we used Bayesian approaches to estimate the sample sizes required to capture genetic diversity at strain- (MLST, fastBAPS clusters), plasmid- and ARG-levels, using two diversity measures: ‘coverage’ (i.e. proportion of the bacterial population/plasmids/ARGs represented by features observed in the sample), and the number/proportion of unique features observed at varying surveillance sample sizes.</p><p dir="ltr"><b>Findings</b>: Randomly sampling 1,400 <i>E. coli</i>/<i>Klebsiella</i> BSI isolates each achieved ≥80% coverage of bacterial lineages and ARGs (i.e. capture features constituting ≥80% of the population) at 95% certainty, but captured lower proportions of unique features (28% MLSTs, 59% fastBAPS clusters, 19% plasmid subcommunities, and 57% ARGs for <i>E. coli; </i>49%, 87%, 50% and 83% for <i>Klebsiella</i>, respectively).
Sample sizes required for 80% coverage of <i>E. coli</i> plasmid populations were higher than MLSTs (1,928[95% CrI:1,837–2,025] vs 1,351[1,230–1,472]), while for <i>Klebsiella</i>, estimates were lower for plasmids (1,115[1,052–1,181] vs 1,422[1,331–1,515] for MLSTs). Lower sample sizes adequately captured 80% coverage of fastBAPS clusters and ARGs (649[575 – 727] and 27[23–30], respectively, for <i>E. coli</i>; 113[84–145] and 83[72-96] for <i>Klebsiella</i>), due to feature-specific frequency distributions. <i>Klebsiella</i> BSIs were more diverse than <i>E. coli</i>, with sampling 10.9% vs 3.2% of total annual BSIs in England needed to reach 80% MLST coverage.
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Plasmid populations and <i>Klebsiella</i> MLSTs were region-specific, emphasising the need for regionally-representative sampling.</p><p dir="ltr"><b>Interpretation: </b>Bayesian analysis facilitates estimates of context-specific genomic surveillance sample sizes. Cost-effective targets for coverage require further optimisation.</p><p dir="ltr">Supplementary data files:</p><ul><li>neksus_ecoli_bsi_samples_metadata.csv - ENA accessions, assembly stats, metadata, and MLST data for <i>E. coli</i> blood culture isolates from NEKSUS study</li><li>neksus_kleb_bsi_samples_metadata.csv - as above but for <i>Klebsiella </i>spp. isolates</li><li>neksus_ecoli_bsi_amrfinder_metadata.csv - AMRFinderPlus and plasmid annotations for <i>E. coli</i> blood culture isolates from NEKSUS study</li><li>neksus_kleb_bsi_amrfinder_metadata.csv - as above but for <i>Klebsiella </i>spp. isolates.</li><li>BSAC_Supplemental_Data_S1.csv - data from the publicly available BSAC study, used for external validation</li><li>NORM_supplementary.csv - data from the publicly available NORM datasrt, used for external validation</li></ul><p dir="ltr"><br></p>
Links
Where it is published
- DOI doi.org/10.6084/m9.figshare.32326584.v2 ↗
DOI / persistent id · from datahub hku hk
Catalogue records · 1
- OAI-PMH record api.figshare.com/v2/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=oai%3Af… ↗
metadata API · from datahub hku hk
Topics
- From keywords
- Applied statistics · Applied statistics · Applied statistics · Applied statistics · Astronomy & Astrophysics · Bacteriology · Bacteriology · Bacteriology · Bacteriology · Bioinformatic methods development · Bioinformatic methods development · Bioinformatic methods development · Bioinformatic methods development · Biological mathematics · Biological mathematics · Biological mathematics · Biological mathematics · Chemistry · Chemistry · Computer Science & AI · Computer Science & AI · Disease surveillance · Disease surveillance · Disease surveillance · Disease surveillance · Earth & Environmental Science · Earth & Environmental Science · Earth & Environmental Science · Earth & Environmental Science · Economics & Finance · Economics & Finance · Engineering · Engineering · Engineering · Epidemiological methods · Epidemiological methods · Epidemiological methods · Epidemiological methods · Humanities · Humanities · Humanities · Infectious agents · Infectious agents · Infectious agents · Infectious agents · Infectious diseases · Infectious diseases · Infectious diseases · Infectious diseases · Life Sciences · Life Sciences · Life Sciences · Life Sciences · Materials Science · Mathematics & Statistics · Mathematics & Statistics · Mathematics & Statistics · Mathematics & Statistics · Medical bacteriology · Medical bacteriology · Medical bacteriology · Medical bacteriology · Medicine & Health · Medicine & Health · Medicine & Health · Medicine & Health · Microbial genetics · Microbial genetics · Microbial genetics · Microbial genetics · Ocean & Atmospheric Science · Psychology & Behavioral Science · Sequence analysis · Sequence analysis · Sequence analysis · Sequence analysis · Social Science · Social Science · Social Science · Translational and applied bioinformatics · Translational and applied bioinformatics · Translational and applied bioinformatics · Translational and applied bioinformatics
- Inferred from text
- Genome sequencing 75% · Sequencing 75%
Provenance · 4 source records, 90 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| HKU DataHub | oai:figshare.com:article/32326584 | 5 d ago | JSON v1 |
| figshare | oai:figshare.com:article/32326584 | 4 d ago | JSON v1 |
| Loughborough Research Repository | oai:figshare.com:article/32326584 | 4 d ago | JSON v1 |
| UP Research Data Repository | oai:figshare.com:article/32326584 | 4 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · datahub hku hk | connector:datahub_hku_hk@1.0.0 | |
| concepts[field].anzsrc:field:310201 | mapping · datahub hku hk | vocabulary-mapper@1.0.0 | keywords['Bioinformatic methods development'] |
| concepts[field].anzsrc:field:310201 | mapping · researchdata up ac za | vocabulary-mapper@1.0.0 | keywords['Bioinformatic methods development'] |
| concepts[field].anzsrc:field:310201 | mapping · figshare com | vocabulary-mapper@1.0.0 | keywords['Bioinformatic methods development'] |
| concepts[field].anzsrc:field:310201 | mapping · repository lboro ac uk | vocabulary-mapper@1.0.0 | keywords['Bioinformatic methods development'] |
| concepts[field].anzsrc:field:310206 | mapping · researchdata up ac za | vocabulary-mapper@1.0.0 | keywords['Sequence analysis'] |
| concepts[field].anzsrc:field:310206 | mapping · repository lboro ac uk | vocabulary-mapper@1.0.0 | keywords['Sequence analysis'] |
| concepts[field].anzsrc:field:310206 | mapping · datahub hku hk | vocabulary-mapper@1.0.0 | keywords['Sequence analysis'] |
| concepts[field].anzsrc:field:310206 | mapping · figshare com | vocabulary-mapper@1.0.0 | keywords['Sequence analysis'] |
| concepts[field].anzsrc:field:310208 | mapping · figshare com | vocabulary-mapper@1.0.0 | keywords['Translational and applied bioinformatics'] |
| concepts[field].anzsrc:field:310208 | mapping · repository lboro ac uk | vocabulary-mapper@1.0.0 | keywords['Translational and applied bioinformatics'] |
| concepts[field].anzsrc:field:310208 | mapping · researchdata up ac za | vocabulary-mapper@1.0.0 | keywords['Translational and applied bioinformatics'] |
| concepts[field].anzsrc:field:310208 | mapping · datahub hku hk | vocabulary-mapper@1.0.0 | keywords['Translational and applied bioinformatics'] |
| concepts[field].anzsrc:field:310701 | mapping · researchdata up ac za | vocabulary-mapper@1.0.0 | keywords['Bacteriology'] |
| concepts[field].anzsrc:field:310701 | mapping · repository lboro ac uk | vocabulary-mapper@1.0.0 | keywords['Bacteriology'] |
| concepts[field].anzsrc:field:310701 | mapping · datahub hku hk | vocabulary-mapper@1.0.0 | keywords['Bacteriology'] |
| concepts[field].anzsrc:field:310701 | mapping · figshare com | vocabulary-mapper@1.0.0 | keywords['Bacteriology'] |
| concepts[field].anzsrc:field:310702 | mapping · repository lboro ac uk | vocabulary-mapper@1.0.0 | keywords['Infectious agents'] |
| concepts[field].anzsrc:field:310702 | mapping · researchdata up ac za | vocabulary-mapper@1.0.0 | keywords['Infectious agents'] |
| concepts[field].anzsrc:field:310702 | mapping · figshare com | vocabulary-mapper@1.0.0 | keywords['Infectious agents'] |
| concepts[field].anzsrc:field:310702 | mapping · datahub hku hk | vocabulary-mapper@1.0.0 | keywords['Infectious agents'] |
| concepts[field].anzsrc:field:310704 | mapping · researchdata up ac za | vocabulary-mapper@1.0.0 | keywords['Microbial genetics'] |
| concepts[field].anzsrc:field:310704 | mapping · repository lboro ac uk | vocabulary-mapper@1.0.0 | keywords['Microbial genetics'] |
| concepts[field].anzsrc:field:310704 | mapping · datahub hku hk | vocabulary-mapper@1.0.0 | keywords['Microbial genetics'] |
| concepts[field].anzsrc:field:310704 | mapping · figshare com | vocabulary-mapper@1.0.0 | keywords['Microbial genetics'] |
| concepts[field].anzsrc:field:320211 | mapping · researchdata up ac za | vocabulary-mapper@1.0.0 | keywords['Infectious diseases'] |
| concepts[field].anzsrc:field:320211 | mapping · datahub hku hk | vocabulary-mapper@1.0.0 | keywords['Infectious diseases'] |
| concepts[field].anzsrc:field:320211 | mapping · repository lboro ac uk | vocabulary-mapper@1.0.0 | keywords['Infectious diseases'] |
| concepts[field].anzsrc:field:320211 | mapping · figshare com | vocabulary-mapper@1.0.0 | keywords['Infectious diseases'] |
| concepts[field].anzsrc:field:320701 | mapping · repository lboro ac uk | vocabulary-mapper@1.0.0 | keywords['Medical bacteriology'] |
| concepts[field].anzsrc:field:320701 | mapping · researchdata up ac za | vocabulary-mapper@1.0.0 | keywords['Medical bacteriology'] |
| concepts[field].anzsrc:field:320701 | mapping · datahub hku hk | vocabulary-mapper@1.0.0 | keywords['Medical bacteriology'] |
| concepts[field].anzsrc:field:320701 | mapping · figshare com | vocabulary-mapper@1.0.0 | keywords['Medical bacteriology'] |
| concepts[field].anzsrc:field:420202 | mapping · figshare com | vocabulary-mapper@1.0.0 | keywords['Disease surveillance'] |
| concepts[field].anzsrc:field:420202 | mapping · researchdata up ac za | vocabulary-mapper@1.0.0 | keywords['Disease surveillance'] |
| concepts[field].anzsrc:field:420202 | mapping · repository lboro ac uk | vocabulary-mapper@1.0.0 | keywords['Disease surveillance'] |
| concepts[field].anzsrc:field:420202 | mapping · datahub hku hk | vocabulary-mapper@1.0.0 | keywords['Disease surveillance'] |
| concepts[field].anzsrc:field:420204 | mapping · researchdata up ac za | vocabulary-mapper@1.0.0 | keywords['Epidemiological methods'] |
| concepts[field].anzsrc:field:420204 | mapping · figshare com | vocabulary-mapper@1.0.0 | keywords['Epidemiological methods'] |
| concepts[field].anzsrc:field:420204 | mapping · datahub hku hk | vocabulary-mapper@1.0.0 | keywords['Epidemiological methods'] |
| concepts[field].anzsrc:field:420204 | mapping · repository lboro ac uk | vocabulary-mapper@1.0.0 | keywords['Epidemiological methods'] |
| concepts[field].anzsrc:field:490102 | mapping · repository lboro ac uk | vocabulary-mapper@1.0.0 | keywords['Biological mathematics'] |
| concepts[field].anzsrc:field:490102 | mapping · researchdata up ac za | vocabulary-mapper@1.0.0 | keywords['Biological mathematics'] |
| concepts[field].anzsrc:field:490102 | mapping · datahub hku hk | vocabulary-mapper@1.0.0 | keywords['Biological mathematics'] |
| concepts[field].anzsrc:field:490102 | mapping · figshare com | vocabulary-mapper@1.0.0 | keywords['Biological mathematics'] |
| concepts[field].anzsrc:field:490501 | mapping · figshare com | vocabulary-mapper@1.0.0 | keywords['Applied statistics'] |
| concepts[field].anzsrc:field:490501 | mapping · datahub hku hk | vocabulary-mapper@1.0.0 | keywords['Applied statistics'] |
| concepts[field].anzsrc:field:490501 | mapping · researchdata up ac za | vocabulary-mapper@1.0.0 | keywords['Applied statistics'] |
| concepts[field].anzsrc:field:490501 | mapping · repository lboro ac uk | vocabulary-mapper@1.0.0 | keywords['Applied statistics'] |
| concepts[field].local:field:astronomy | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:chemistry | mapping · repository lboro ac uk | connector:repository_lboro_ac_uk@1.0.0 | |
| concepts[field].local:field:chemistry | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:computer-science-ai | mapping · repository lboro ac uk | connector:repository_lboro_ac_uk@1.0.0 | |
| concepts[field].local:field:computer-science-ai | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:earth-environmental | mapping · repository lboro ac uk | connector:repository_lboro_ac_uk@1.0.0 | |
| concepts[field].local:field:earth-environmental | mapping · datahub hku hk | connector:datahub_hku_hk@1.0.0 | |
| concepts[field].local:field:earth-environmental | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:earth-environmental | mapping · researchdata up ac za | connector:researchdata_up_ac_za@1.0.0 | |
| concepts[field].local:field:economics-finance | mapping · repository lboro ac uk | connector:repository_lboro_ac_uk@1.0.0 | |
| concepts[field].local:field:economics-finance | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:engineering | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:engineering | mapping · researchdata up ac za | connector:researchdata_up_ac_za@1.0.0 | |
| concepts[field].local:field:engineering | mapping · repository lboro ac uk | connector:repository_lboro_ac_uk@1.0.0 | |
| concepts[field].local:field:humanities | mapping · researchdata up ac za | connector:researchdata_up_ac_za@1.0.0 | |
| concepts[field].local:field:humanities | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:humanities | mapping · repository lboro ac uk | connector:repository_lboro_ac_uk@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · datahub hku hk | connector:datahub_hku_hk@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · researchdata up ac za | connector:researchdata_up_ac_za@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · repository lboro ac uk | connector:repository_lboro_ac_uk@1.0.0 | |
| concepts[field].local:field:materials-science | mapping · repository lboro ac uk | connector:repository_lboro_ac_uk@1.0.0 | |
| concepts[field].local:field:mathematics-statistics | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:mathematics-statistics | mapping · repository lboro ac uk | connector:repository_lboro_ac_uk@1.0.0 | |
| concepts[field].local:field:mathematics-statistics | mapping · datahub hku hk | connector:datahub_hku_hk@1.0.0 | |
| concepts[field].local:field:mathematics-statistics | mapping · researchdata up ac za | connector:researchdata_up_ac_za@1.0.0 | |
| concepts[field].local:field:medicine-health | mapping · researchdata up ac za | connector:researchdata_up_ac_za@1.0.0 | |
| concepts[field].local:field:medicine-health | mapping · datahub hku hk | connector:datahub_hku_hk@1.0.0 | |
| concepts[field].local:field:medicine-health | mapping · repository lboro ac uk | connector:repository_lboro_ac_uk@1.0.0 | |
| concepts[field].local:field:medicine-health | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:ocean-atmospheric | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:psychology-behavioral | mapping · repository lboro ac uk | connector:repository_lboro_ac_uk@1.0.0 | |
| concepts[field].local:field:social-science | mapping · researchdata up ac za | connector:researchdata_up_ac_za@1.0.0 | |
| concepts[field].local:field:social-science | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:social-science | mapping · repository lboro ac uk | connector:repository_lboro_ac_uk@1.0.0 | |
| concepts[modality].local:modality:genome-sequencing | enrichment · datahub hku hk | keyword-concept-rules@1.0.0 | title+description (75%) |
| concepts[modality].local:modality:sequencing | enrichment · datahub hku hk | keyword-concept-rules@1.0.0 | title+description (75%) |
| description | source · datahub hku hk | connector:datahub_hku_hk@1.0.0 | /metadata/dc/description |
| license | source · datahub hku hk | connector:datahub_hku_hk@1.0.0 | /metadata/dc/rights |
| publication_date | source · datahub hku hk | connector:datahub_hku_hk@1.0.0 | |
| title | source · datahub hku hk | connector:datahub_hku_hk@1.0.0 | /metadata/dc/title |