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Subprogramme Leader Graham McLaren,
g.mclaren@cgiar.org

All Templates

GCP QTL Template

Version: 2.0

Template Description: Verrsion 2.0 of the emplate for QTL DataVerrsion 2.0 of the emplate for QTL Data

Instructions

This template is for both summaried QTL data in whch only the signifant regions above a defined threshold are recorded and detailed QTL data in which data cna be provided for all positions with each chromosome analysised. Use the 'QTL' section for summarized data and the 'QTL Scores' section for the detailed data. You should provide one or both of these sections, even though both are marked as optional.

Mappings for this template

Sections available in this template

Section NameDescriptionConditions
SourceInformation on the source of the dataset, the species it concerns and the name and version of the datasetMandatory
Quality AssessmentInformation about the quality measures usedMandatory
QTL StudyGeneral experiment details about the QTL StudyMandatory
QTLQTL dataOptional
Multiple sheets allowed
QTL ScoresQTL dataOptional
Multiple sheets allowed
PopulationsMandatory
Multiple sheets allowed
Trial SitesOptional
Multiple sheets allowed
TrialsInformation about the locaation, data and conditions of the trialMandatory
Multiple sheets allowed
Trait MeasurementsInformation on the traits measured in the studyMandatory
Multiple sheets allowed
MarkersMarkers used in the studyOptional
Multiple sheets allowed
MapsOptional
Multiple sheets allowed
AccessionsOptional
Multiple sheets allowed
InstitutionsList of institute codes used in passport data sections and their corresponding decoded name and addresses.Optional

Source

Section Description: Information on the source of the dataset, the species it concerns and the name and version of the dataset

see section: source in GCPDataSubmissionTemplate2.0

for the following fields institute, principalInvestigator, projectCode, projectName, emailContact, species, ploidy, datasetName, version, creationDate, remark

Quality Assessment

Section Description: Information about the quality measures used

see section: qualityAssessment in GCPDataSubmissionTemplate2.0

for the following fields qualityMeasure, standard, control, errorEstimator

QTL Study

Section Description: General experiment details about the QTL Study

Field NameDescriptionConditions
Study NameThe name of the study
Example: Drought tolerence
Mandatory
QTL Analysis MethodStatistical method used for measure the QTL
Example: Composite interval mapping (CIM)
Mandatory
StatisticsAny additional statistics that the data contributors wishes to provide
Example: Population mean 0.97 .V. = 22.6 (0.05) = 0.61 error mean square = 0.1448
Optional
HeritabilityThe genetic component of total trait variance in the specified environment. Reported as the and environment
Example: 0.75 "Bozeman 2000"
Optional
Type I Error Rate Per LocusProbability of calling the locus significant by chance
Example: 0.05
Optional
R2 DefinitionExact definition of the "R-squared" used
Example: "R-squared is the proportin of the total phenotype or variance explained by a multiple regression model the significant QTL and their interactions."
Optional
CommentsAny additional information supporting the data that the authors want to add. Multiple comments can be separated with a semi-colonOptional

QTL

Section Description: QTL data

Field NameDescriptionConditions
QTL NameThe proposed name for the QTL, usually specific for the species and/or lab. For example the proposed barley name consists of a "Q", a 2-4 letter acronym for the trait, a ".", a four letter string of the first two letters of the parents, a "-", and the chromosome.
Example: QHD.StMo-2H
Mandatory
Unique
SynonymAlternate name for this QTL
Example: QHD.umn.2H.1
Optional
Trait Measurement IDDenotes the trait measured for this QTL. Trait Measurement ID <b>must</b> relate to Trait Measurement ID in the Trait Measurements sheet or file
Example: ABA
Example: ASI
Mandatory
Trial IDA unique identier for the trial which is usually a combination of the location name, year of experiment and conditions. The Trial ID <b>must</b> relate to Trial ID in the Trials sheet or file.
Example: C1F3TL92AWW
Mandatory
Unique
Map IDThe Map on which the QTL data can be projected. The Map ID <b>must</b> relate to Map ID in the Maps sheet or file.
Example: Hordeum-Pillen-4H
Example: C1:Ch1
Optional
Map PositionPoint or span of the QTL position on the map
Example: 45-55 cM
Optional
ChromosomeChromosome where the QTL was mapped. A S (short) or L (long) is appended if the position on the chromosome arm is known. If the map is defined this field need not be provided.
Example: 2H
Optional
Associated GeneGene assigned to the trait measured. Can either be a gene name or more appropreately a Gene Ontology Term ID. Multiple genes can be separate with a semi-colon
Example: Bmy1 (Hordeum)
Optional
Nearest MarkerThe closest molecular marker mapped to the LOD peak within this QTL. If provided the marker <b>must</b> relate to a marker in marker sheet or file if this is present.
Example: ABC465
Optional
Significant MarkerThe molecular markers and/or genes mapped within this QTL. Multiple markers are separated with a semi-colon. If provided the marker <b>must</b> relate to a marker in marker sheet or file if this is present.
Example: ABC465
Optional
Likelihood RatioThe Likelihood Ratio for the QTL
Example: 12.32
Optional
LOD Peak HeightHighest LOD value of the QTL
Example: 9.5
Mandatory
LOD ThresholdThreshold value for the significant LOD interval
Example: 2.5
Mandatory
Phenotypic R2Phenotypic variance explained by the QTL (expressed as a fraction)
Example: 0.42
Optional
Genetic R2Genetic variance explained by the QTL (expressed as a fraction)
Example: 0.45
Optional
Allele effect (effect of allele sub.)Effect of allele substitution, if additive and dominance effects are unknown.
Example: -0.47
Optional
Additive effectAdditive effect of allele substitution. (e.g. for Heading Date, value + units)
Example: 2 days
Optional
Dominance effectDominance effect of allele substitution, i.e deviation from the additive effect (e.g. Kernel weight lys3)
Example: 25 mg
Optional
EpistasisThe interaction between two or more genes to control a single phenotype
Example: No epistasis was detected between markers assiciated with this QTL
Optional
Parent With Higher Scoring AlleleParent with the higher value of whatever is being measured. This does not imply more favorable, (ex. Higher DON toxin levels). Must relate to the value for Parent A or Parent B
Example: Apex (barley)
Optional
InteractionsText field to explain epistasis or interaction with the environment
Example: "The portion of the phenotypic variance explained by the of the Marker x Environment = 0.4 %"
Optional
Significance x EnvironmentGenotype x environment
Example: 0.001
Optional
ImageLink to any image a contributing author would like to include with the data
Example: http://www.graingenes.org/cgi-bin/ace/tree/graingenes?name=Sprout%20scoring%20scale&class=Image
Optional
ReferencesLink to reference(s). Multiple references should be separated with a space
Example: http://wheat.pw.usda.gov/cgi-bin/graingenes/report.cgi?class=reference&name=GNM-38-1098
Optional
CommentsAny additional information supporting the data that the authors / curators want to add. Multiple references should be separated with a semi-colon
Example: "Higher scores in the 'higher scoring allele' class indicate a higher accumulation of DON, and therefore not desirable"
Optional

QTL Scores

Section Description: QTL data

Field NameDescriptionConditions
Trait Measurement IDDenotes the trait measured for this QTL. Trait Measurement ID <b>must</b> relate to Trait Measurement ID in the Trait Measurements sheet or file
Example: ABA
Example: ASI
Mandatory
Trial IDA unique identier for the trial which is usually a combination of the location name, year of experiment and conditions. The Trial ID <b>must</b> relate to Trial ID in the Trials sheet or file.
Example: C1F3TL92AWW
Mandatory
Unique
ChromosomeChromosome where the QTL was mapped.
Example: 2H
Optional
PositionThe position in cM
Example: 9.5
Mandatory
LOD ScoreLOD score at this position
Example: 9.5
Mandatory

Populations

Section Description: none

Field NameDescriptionConditions
Population IDAn identifier of the population, usually consisting of a identifier for the cross and population type
Example: C1F3
Mandatory
Unique
Parent AGermplasm name for a parent in the population. Male and Female can be noted. This can either be a name or Germplasm ID to values in the If the accession data is provide it must relate to SampleID in the accession sheet or file if this is provided.
Example: P43C9-1-1-1-1-1-BBBBB
Example: Apex (barley)
Mandatory
Parent BGermplasm name for another parent in the population. Male and Female can be noted. This can either be a name or Germplasm ID to values in the If the accession data is provide it must relate to SampleID in the accession sheet or file if this is provided.
Example: SC-Malawi
Mandatory
Parental Mean SDMean and standard deviation for each parent
Example: Clark's Cream 0.38 0.21
Optional
Map Study NameDenotes the map study for this cross. It must relate to the Map Study Name in the maps sheet or file if this is provided.
Example: Barley, AxHs/QTL
Optional
Population SizeNumber of individuals in the mapping population.
Example: 130
Mandatory
Population TypeType of population used for mapping.
Example: BC2F2
Mandatory
Number of Markers TestedNumber of molecular markers used
Example: 130
Optional
Type of Markers TestedType of molecular markers used
Example: SSR
Optional

Trial Sites

Section Description: none

see section: experimentalSites in GCPPhenotypingTemplate2.0

for the following fields siteID, country, primaryAdminSubdivision, secondaryAdminSubdivision, locality, nameExperimentalSite, latitudeString, longitudeString, latitudeDecimal, longitudeDecimal, elevation, coordinateErrorDistance, institution, remark

Trials

Section Description: Information about the locaation, data and conditions of the trial

Field NameDescriptionConditions
Trial IDA unique identier for the trial which is usually a combination of the location name, year of experiment and conditions.
Example: C1F3TL92AWW
Mandatory
Unique
Population IDDenotes the population in which this QTL was found. The Population ID <b>must</b> relate to Population ID in the Populations sheet or file.Mandatory
Site IDUnique site identifier where the trial was executed. <b>Must</b> must relate to Site ID in the Trial Sites sheet or fle, if provided,Mandatory
Unique
Soil TextureSoil type at the location of the experiment
Example: Brown clay loam soils of pH 7.5
Optional
ConditionsGeneral conditions of the trial. More details can be given under moisture and irrigation
Example: Well Watered
Example: Intermediate Stress
Example: Severe Stress
Optional
MoistureCrop available moisture, the amount of water available to the crop during the growing season
Example: 200 mM
Optional
IrrigationType, number of days, total amount or just yes/no
Example: yes
Optional
SeasonThe season or cycle in which the trail was carried out. Required if there are more than one planting season at this location
Example: Winter
Optional
Planting DateMonth and year the experimental plants were put into the ground. Must be in ISO 8601 format. This format is written in the form YYYY-MM-DD, where YYYY is the year in the usual Gregorian calendar, MM is the month of the year between 01 (January) and 12 (December), and DD is the day of the month between 01 and 31. The hyphens can be omitted if compactness of the representation is more important than human readability, for example as in 19950204. If only the month or even only the year is known: 1995-02 or 1995.
Example: 200103--
Optional
Harvest DateMonth and year the experimental plants were harvested. Must be in ISO 8601 format. This format is written in the form YYYY-MM-DD, where YYYY is the year in the usual Gregorian calendar, MM is the month of the year between 01 (January) and 12 (December), and DD is the day of the month between 01 and 31. The hyphens can be omitted if compactness of the representation is more important than human readability, for example as in 19950204. If only the month or even only the year is known: 1995-02 or 1995.
Example: 200106--
Optional
Testing DateMonth and year the experimental plants were tested for the QTL. Must be in ISO 8601 format. This format is written in the form YYYY-MM-DD, where YYYY is the year in the usual Gregorian calendar, MM is the month of the year between 01 (January) and 12 (December), and DD is the day of the month between 01 and 31. The hyphens can be omitted if compactness of the representation is more important than human readability, for example as in 19950204. If only the month or even only the year is known: 1995-02 or 1995.
Example: 200108--
Optional
Experimental DesignTest describing the design of the experiment
Example: Randomized complete block
Mandatory
ReplicationsNumber of experimental replicates
Example: 3
Mandatory
RemarksAny additional information supporting the data that the authors / curators want to add. Multiple references should be separated with a semi-colonOptional

Trait Measurements

Section Description: Information on the traits measured in the study

Field NameDescriptionConditions
Trait Measurement ID Unique value within the dataset that denotes the trait measurement. Usually an abreviation of the trait name and the timing of the measurement
Example: ABA
Example: ASI
Mandatory
Unique
Trait Measurement NameThe name of the trait measured. It should describe a specific trait and when it was measured relative to specific point in the plant's development
Example: ABA response at germination
Example: Anthesis-silking interval
Mandatory
Unique
Trait Ontology IDAn identifier of the phenotypic trait affected by the QTL. The Trait ID <b>must</b> be a valid Trait Onology Term ID
Example: TO:0000615
Example: TO:0000463
Mandatory
Unique
Measurement TimingThe point at which the measurement relative to specific point in the plant's developmentOptional
Trait Measurement DescriptionA description of the trait, provides information about the trait measurement in addition
Example: ABA response at germination
Optional
PathologyOptional Information about any disease to which the trait is related. For example the common name of the disease.
Example: Barley Yellow Dwarf
Optional
ProtocolExperimental protocol for the trait study.
Example: "DON levels were measured by gas chromatography"
Optional
RemarksAny additional information supporting the data that the authors / curators want to add. Multiple references should be separated with a semi-colonOptional

Markers

Section Description: Markers used in the study

see section: markers in GCPMappingTemplate2.0

for the following fields marker, forwardPrimer, reversePrimer, annealingTm, minAllele, maxAllele, genBankAccessionNumber, references

Maps

Section Description: none

see section: maps in GCPMappingTemplate2.0

for the following fields studyName, mapID, mapName, chromosome, marker, position

Field NameDescriptionConditions
Study NameDescriptive name of the map studyMandatory

Accessions

Section Description: none

see section: generalPassportData in GCPPassportTemplate2.0

for the following fields germplasmID, holdingInstitute, collectionName, localUniqueID, genus, species, countryOfOrigin, accessionName

Field NameDescriptionConditions
Country of originCode of the country in which the sample was originally collected. Use 3-letter ISO 3166-1 extended country codes.Optional
Accession nameEither a registered or other formal designation given to the accession. First letter uppercase. Multiple names separated with semicolon without space.
Example: CIMMYTWHEAT
Mandatory

Institutions

Section Description: List of institute codes used in passport data sections and their corresponding decoded name and addresses.

see section: institutions in GCPDataSubmissionTemplate2.0

for the following fields faoInstituteCode, organizationName, street, cityState, zipCode, country, institutionalEmail, institutionalTelephone, fax, url, primaryContactName

Copyright (c) 2004-2006 CIMMYT, CIMMYT, Cornell, IITA-Nairobi, IRRI, U.S. Department of Agriculture, University of Missouri

Developed by Guy Davenport (CIMMYT), Miguel Anducho (CIMMYT), Xunbi Xu (IITA-Nairobi), David Matthrews (Cornell), Victoria Carollo (U.S. Department of Agriculture), Mary Schaeffer (University of Missouri), Genevieve Aquino (IRRI)

Creative Commons License
This work is licensed under a Creative Commons Attribution-ShareAlike 2.5 License.