Simple statistical identification and removal of contaminant sequences in marker-gene and metagenomics data

Nicole M. Davis, Diana M. Proctor, Susan Holmes, David A. Relman, Benjamin J. Callahan · Microbiome · 2018 · biology · 10.1186/s40168-018-0605-2 · record davis2018-simple-statistical-identification
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Other fields define these differently the same word, defined another way in another discipline
sensitivity 8 fields · specificity 8 fields

Tags on this paper

Every tag the record carries, each linking to every other paper in the corpus that carries it. A tag appears here whether or not its words occur in the article — the spans below are only the ones a sentence in this paper licenses. Of the 15 concept tags on this paper, all 15 are grounded in a quoted sentence. All carry the tagger's gloss of what the term means in this paper, which is not something the article can license.
contaminants External contamination cross-contamination score statistic p value classification threshold negative controls gel-based quality control relative abundance thresholds true community members low-biomass SILVA HOMD processing batches placenta microbiome inverse frequency signature prevalence signature in negative controls biomass-correlated confounding sample DNA concentration prevalence general linear F test type 1 error rate chi-square Fisher’s exact tests specificity sensitivity system-or-tool-building
Method, as described: a two-component mixture model of contaminant and sample DNA, turned into two score statistics and a user-set classification threshold, validated on an oral dataset, a dilution series and two published low-biomass studies

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relation to other workclaim_relationshow this paper stands to another: agrees, contradicts, extends, qualifies
claim typeclaim_typethe shape of the claim: existence, mechanism, method, critique, prediction, null
concept edgeconcept_edgesan asserted relation between two concepts, with the sentence asserting it
conceptconceptsan idea the paper works with, quoted where the paper uses it
content tagcontent_tagsa finding, definition, quantity, statistic or variable named in the paper
contributioncontributionwhat the paper claims to add
controlcontrolsan experiment run to eliminate a rival explanation
limitationlimitationswhat the paper says its evidence cannot support
mechanismmechanismshow the reported effect is said to come about
methodmethodhow the paper produced its evidence
object of studyobject_of_studywhat the paper is about — the thing it investigates
phenomenonphenomenonthe effect or regularity under study
research questionresearch_questionthe question the paper sets itself
sensesensesa distinct use of a term, quoted where the paper fixes it
transfertransfersa method or concept carried in from another field

The paper

The full text is not reproduced here. This article is not cleared for redistribution, so the page carries the tag layer only. Its evidence sentences are withheld; the grounding status remains with each tag, and the article itself is at https://doi.org/10.1186/s40168-018-0605-2. The reading view exists for the papers whose licence permits it.

Every tag on this page

claim_relations 4 · claim_type 1 · concept_edges 3 · concepts 15 · content_tags 19 · contribution 1 · controls 7 · limitations 6 · mechanisms 3 · method 1 · object_of_study 1 · phenomenon 1 · research_question 1 · senses 4 · transfers 2

Relations on this page carry a quotation for the claim. Where a relation was separately evidenced — and so tested against the vocabulary for its type — the row says so; 3 of 3 relations here carry that mark. The rest are the tagger’s reading of the sentence quoted beside them.

facettagfieldconf.whose words
object_of_studycontaminant DNA in marker-gene and metagenomic sequencing - sequences that are in the data and not in the sample - and how to identify them without knowing in advance what they are
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object_of_studythe paper's words
research_questionwhether contaminant sequences can be separated from true community members de novo, using only statistical patterns already present in a standard sequencing run
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research_questionthe paper's words
contributiondecontam: two independent classifiers built on two reproduced signatures of contamination - inverse correlation with DNA concentration, and higher prevalence in negative controls - released as an R package
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contributionthe paper's words
claim_typemethod
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claim_typethe paper's words
phenomenoncontamination that survives good laboratory practice and is invisible to the quality control usually used to detect it, biasing hardest exactly where biomass is lowest and the claims are most contested
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phenomenonthe paper's words
methodsystem-or-tool-building
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methodthe paper's words
mechanismscontaminant DNA enters at roughly constant absolute concentration while sample DNA varies, so as a proportion of the total the contaminant's frequency falls as sample concentration rises - a slope of -1 in log space against a slope of 0
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mechanisms[0]0.95the tagger's words
mechanismswith no competing sample DNA, a negative control's sequencing capacity is available to whatever contaminant is present, so contaminants are detected in a larger fraction of controls than of true samples
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mechanisms[1]0.95the tagger's words
mechanismsbecause the frequency method reads low sample concentration as evidence of contamination, any real sequence that is genuinely commoner in low-biomass samples presents with the contaminant signature - so mixing environments manufactures false positives out of true biology
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mechanisms[2]0.95the tagger's words
limitationsdecontam is not designed for cross-contamination, which violates its founding assumption that contaminants and true members are distinct populations
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limitations[0]0.95the tagger's words
limitationsthe frequency method's approximations break down in exactly the low-biomass regime where contamination matters most - when contaminants are a large fraction of reads
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limitations[1]0.95the tagger's words
limitationsapplying it across environments of systematically different biomass can classify real sequences as contaminants, because low concentration is the contaminant signature
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limitations[2]0.95the tagger's words
limitationsit depends on patterns across samples, so it has low sensitivity for contaminants present in very few samples - the tail it cannot see
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limitations[3]0.95the tagger's words
limitationsthe default classification threshold is not recommended as-is: the authors direct users to read a threshold off their own score histogram instead
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limitations[4]0.95the tagger's words
limitationsthe method is less effective when groups of samples carry systematically different contaminant patterns, which is why batches must be declared by the user rather than detected
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limitations[5]0.95the tagger's words
transfersmodel comparison by ratio of sums-of-squared-residuals, carried from linear regression into a per-sequence classifier - and deliberately stripped of the inferential guarantee it carries in its home field
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transfers[0]0.95the tagger's words
transfersa two-component mixture model, carried from statistical modelling to represent total DNA as contaminant plus sample
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transfers[1]0.95the tagger's words
controlsthe field's standard check that a negative control shows no band on an agarose gel, taken as evidence that contamination is absent
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eliminates: contamination in the sequencing library - and the paper's own sentence says this check does NOT eliminate it, because band-less samples still generate non-negligible reads · outcome: absent-stated-about-other
controls[0]0.95the tagger's words
controlsremoving every sequence that appears in a negative control
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eliminates: contaminant sequences - and it OVER-removes, because cross-contamination puts abundant TRUE sequences into the negative controls · outcome: absent-stated-about-other
controls[1]0.95the tagger's words
controlsdiscarding sequences below an ad hoc relative abundance threshold
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eliminates: abundant contaminants, which it fails to remove, while removing rare features that are truly present in the sample · outcome: absent-stated-about-other
controls[2]0.95the tagger's words
controlsexcluding taxa on a blacklist of previously reported contaminants
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eliminates: previously reported contaminants - leaving study-specific contaminants in place and removing true sequences · outcome: absent-stated-about-other
controls[3]0.95the tagger's words
controlscross-checking taxonomic assignments against a second controlled vocabulary, HOMD against SILVA, at the genus level
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eliminates: a contaminant call that is an artefact of one reference vocabulary's genus boundaries · outcome: partial
controls[4]0.95the tagger's words
controlsan explicit 'ambiguous' class for genera that neither reference database resolves, instead of forcing every genus into contaminant or oral
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eliminates: a genus with no evidence either way being forced into 'contaminant' or 'oral' and counted as if it had been decided · outcome: held
controls[5]0.95the tagger's words
controlsturning the method on a published low-biomass claim - the placenta microbiome - where the expected answer was already contested
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eliminates: a decontamination method validated only on data where the right answer was chosen by the people validating it · outcome: held
controls[6]0.95the tagger's words
conceptscontaminants
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also in: contaminants
concepts[0]0.95the paper's words
conceptsExternal contamination
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concepts[1]0.95the paper's words
conceptscross-contamination
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concepts[2]0.95the paper's words
conceptsscore statistic
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concepts[3]0.95the paper's words
conceptsp value
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also in: p value
concepts[4]0.95the paper's words
conceptsclassification threshold
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concepts[5]0.95the paper's words
conceptsnegative controls
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concepts[6]0.95the paper's words
conceptsgel-based quality control
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concepts[7]0.95the paper's words
conceptsrelative abundance thresholds
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concepts[8]0.95the paper's words
conceptstrue community members
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concepts[9]0.95the paper's words
conceptslow-biomass
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also in: low-biomass
concepts[10]0.95the paper's words
conceptsSILVA
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also in: SILVA
concepts[11]0.95the paper's words
conceptsHOMD
Quotation withheld — this record is not cleared for redistribution. The sentence is in the paper at the link above.
also in: HOMD
concepts[12]0.95the paper's words
conceptsprocessing batches
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concepts[13]0.95the paper's words
conceptsplacenta microbiome
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concepts[14]0.95the paper's words
sensesscore statistic P - AS COMPUTED: set equal to a p-value from the chi-square or Fisher's exact test, and so arithmetically indistinguishable from one
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senses[0]0.95the tagger's words
sensesscore statistic P - AS LICENSED: a classification score only, explicitly carrying no guarantee on the type 1 error rate. The paper states the difference rather than leaving it to the reader
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senses[1]0.95the tagger's words
sensesaccuracy of decontam - PER SEQUENCE FEATURE: specificity and sensitivity described as sometimes moderate
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senses[2]0.95the tagger's words
sensesaccuracy of decontam - PER READ: described as reaching exceptional levels, on the same classifications of the same data. The unit of account decides which number is reported
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senses[3]0.95the tagger's words
claim_relationscritiques → gel-band quality control as evidence that a sequencing run is free of contamination
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claim_relations[0]0.95the tagger's words
claim_relationscritiques → ad hoc in silico decontamination - abundance thresholds, negative-control subtraction and contaminant blacklists
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claim_relations[1]0.95the tagger's words
claim_relationsbuilds-on → prior reports of the two contaminant signatures: inverse correlation with DNA concentration, and presence in negative controls
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claim_relations[2]0.95the tagger's words
claim_relationsconfirms → the conclusion that marker-gene data from placenta biopsies do not support an indigenous placenta microbiome
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claim_relations[3]0.95the tagger's words
concept_edgesscore statistic —distinct-from→ p value
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differs in: whether it licenses a claim about the type 1 error rate · the relation itself is separately evidenced · strength of the relation: 0.95 · differs in (stated by the tagger, no quotation): whether it licenses a claim about the type 1 error rate · the relation stated: computed the same way and carrying none of the same guarantees
concept_edges[0]0.95the tagger's words
concept_edgescontaminants —distinct-from→ true community members
Quotation withheld — this record is not cleared for redistribution. The sentence is in the paper at the link above.
differs in: whether the sequence originated in the sampled environment · the relation itself is separately evidenced · strength of the relation: 0.9 · differs in (stated by the tagger, no quotation): whether the sequence originated in the sampled environment · the relation stated: assumed to be disjoint populations - the assumption the whole method rests on
concept_edges[1]0.95the tagger's words
concept_edgescross-contamination —distinct-from→ External contamination
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differs in: whether the contaminating DNA came from outside the study or from another sample in it · the relation itself is separately evidenced · strength of the relation: 0.9 · differs in (stated by the tagger, no quotation): whether the contaminating DNA came from outside the study or from another sample in it · the relation stated: different sources, and different statistical signatures in the data
concept_edges[2]0.95the tagger's words
content_tagsthe score decontam reports is computed as a tail probability and is explicitly not a p value - it carries no type 1 error guarantee
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content_tags.findings[0]0.95the tagger's words
content_tagsthe same classifications are 'sometimes moderate' per sequence feature and 'exceptional' per read - the unit of account decides the number
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content_tags.findings[1]0.95the tagger's words
content_tagsthe field's usual contamination control - no band on a gel - does not work, because band-less samples still generate substantial reads
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content_tags.findings[2]0.95the tagger's words
content_tagstwo curated taxonomic databases disagreed on 80 sequences and the disagreement had to be settled by a third method
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content_tags.findings[3]0.95the tagger's words
content_tagsFrequency-based contaminant identification is not recommended for extremely low-biomass samples, where its approximations break down.
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content_tags.findings[4]0.95the tagger's words
content_tagsDNA sequences not truly present in the sampled community - a definition by provenance, so nothing in the sequence itself can settle it
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also in: contaminants
content_tags.definitions[0]0.95the tagger's words
content_tagscontributed from outside the samples being measured; distinguished from internal or cross-contamination, which arises when samples mix with each other
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content_tags.definitions[1]0.95the tagger's words
content_tagsa transformation taking the ratio of sums-of-squared residuals and the number of observations, and returning a better classification statistic than the ratio alone - explicitly not a p value
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content_tags.definitions[2]0.95the tagger's words
content_tagsthe default classification threshold, which the authors recommend against using unexamined
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content_tags.quantities[0]0.95the tagger's words
content_tagsthe threshold at which classification reduces to 'is the contaminant model the better fit'
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content_tags.quantities[1]0.95the tagger's words
content_tagssequences on which the two reference databases disagreed, resolved by BLAST
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content_tags.quantities[2]0.85the tagger's words
content_tagsgeneral linear F test
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content_tags.statistics[0]0.95the tagger's words
content_tagstype 1 error rate
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content_tags.statistics[1]0.95the tagger's words
content_tagschi-square
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also in: chi-square
content_tags.statistics[2]0.95the tagger's words
content_tagsFisher’s exact tests
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content_tags.statistics[3]0.95the tagger's words
content_tagsspecificity
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also in: specificity
content_tags.statistics[4]0.95the tagger's words
content_tagssensitivity
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also in: sensitivity
content_tags.statistics[5]0.95the tagger's words
content_tagssample DNA concentration
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content_tags.variables[0]0.95the tagger's words
content_tagsprevalence
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also in: prevalence
content_tags.variables[1]0.95the tagger's words

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