Wheat expression level polymorphism study parentals and progenies from SB location
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ABSTRACT:
PROVIDER: PRJNA97391 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:This SuperSeries is composed of the following subset Series:; GSE5937: wheat expression level polymorphism study parental genotypes 2 biological reps from SB location; GSE5939: Wheat expression level polymorphism study 36 genotypes 2 biological reps from SB location Experiment Overall Design: Refer to individual Series
2008-06-14 | E-GEOD-5942 | biostudies-arrayexpress
Project description:This SuperSeries is composed of the SubSeries listed below.
2007-03-25 | GSE5942 | GEO
Project description:The use of statistical tools established for the genetic analysis of quantitative traits can be applied to gene expression data. Quantitative trait loci (QTL) analysis can associate expression of genes or groups of genes with particular genomic regions and thereby identify regions that play a role in the regulation of gene expression. A segregating population of 41 doubled haploid (DH) lines from the hard red spring wheat cross RL4452 x AC Domain was used. This population had previously been mapped with microsatellites and includes a full QTL analysis for agronomic and seed quality traits. Expression analysis from 5 day post anthesis developing seed was conducted on 36 of the 41 DH lines using the Affymetrix wheat array. Expression analysis of developing seeds from field grown material in location 2 identified 10,280 sequences represented by Affymetrix probe sets whose expression varied significantly between genotypes of the population. Of these 1,455 were identified in the point location as well. A sub-set of 542 transcripts were identified that each mapped to a single chromosome interval illustrating that major expression QTLs can be found in wheat. Genomic regions corresponding to multiple expression QTLs were identified that were coincident with previous identified seed quality trait QTL. These regions may be important regulatory regions governing economically important traits. Comparison of expression mapping data with physical mapping for a sub-set of sequences showed that both cis and trans acting expression QTLs were present. Experiment Overall Design: Parental genotypes of mapping population RL4452 x AC Domain with 2 biological replicates per genotype. Grown in the field in a lattice design at SB location with the 41 DH progeny lines.
2008-06-14 | E-GEOD-5937 | biostudies-arrayexpress
Project description:The use of statistical tools established for the genetic analysis of quantitative traits can be applied to gene expression data. Quantitative trait loci (QTL) analysis can associate expression of genes or groups of genes with particular genomic regions and thereby identify regions that play a role in the regulation of gene expression. A segregating population of 41 doubled haploid (DH) lines from the hard red spring wheat cross RL4452 x AC Domain was used. This population had previously been mapped with microsatellites and includes a full QTL analysis for agronomic and seed quality traits. Expression analysis from 5 day post anthesis developing seed was conducted on 36 of the 41 DH lines using the Affymetrix wheat array. Expression analysis of developing seeds from field grown material in location 2 identified 10,280 sequences represented by Affymetrix probe sets whose expression varied significantly between genotypes of the population. Of these 1,455 were identified in the point location as well. A sub-set of 542 transcripts were identified that each mapped to a single chromosome interval illustrating that major expression QTLs can be found in wheat. Genomic regions corresponding to multiple expression QTLs were identified that were coincident with previous identified seed quality trait QTL. These regions may be important regulatory regions governing economically important traits. Comparison of expression mapping data with physical mapping for a sub-set of sequences showed that both cis and trans acting expression QTLs were present. Experiment Overall Design: 36 genotypes of mapping population RL4452 x AC Domain with 2 biological replicates per genotype. Grown in the field in a lattice design at SB location
2008-06-14 | E-GEOD-5939 | biostudies-arrayexpress
Project description:The use of statistical tools established for the genetic analysis of quantitative traits can be applied to gene expression data. Quantitative trait loci (QTL) analysis can associate expression of genes or groups of genes with particular genomic regions and thereby identify regions that play a role in the regulation of gene expression. A segregating population of 41 doubled haploid (DH) lines from the hard red spring wheat cross RL4452 x AC Domain was used. This population had previously been mapped with microsatellites and includes a full QTL analysis for agronomic and seed quality traits. Expression analysis from 5 day post anthesis developing seed was conducted on 36 of the 41 DH lines using the Affymetrix wheat array. Expression analysis of developing seeds from field grown material in location 2 identified 10,280 sequences represented by Affymetrix probe sets whose expression varied significantly between genotypes of the population. Of these 1,455 were identified in the point location as well. A sub-set of 542 transcripts were identified that each mapped to a single chromosome interval illustrating that major expression QTLs can be found in wheat. Genomic regions corresponding to multiple expression QTLs were identified that were coincident with previous identified seed quality trait QTL. These regions may be important regulatory regions governing economically important traits. Comparison of expression mapping data with physical mapping for a sub-set of sequences showed that both cis and trans acting expression QTLs were present. Keywords: genetic differences, expression QTL
2007-03-25 | GSE5939 | GEO
Project description:The use of statistical tools established for the genetic analysis of quantitative traits can be applied to gene expression data. Quantitative trait loci (QTL) analysis can associate expression of genes or groups of genes with particular genomic regions and thereby identify regions that play a role in the regulation of gene expression. A segregating population of 41 doubled haploid (DH) lines from the hard red spring wheat cross RL4452 x AC Domain was used. This population had previously been mapped with microsatellites and includes a full QTL analysis for agronomic and seed quality traits. Expression analysis from 5 day post anthesis developing seed was conducted on 36 of the 41 DH lines using the Affymetrix wheat array. Expression analysis of developing seeds from field grown material in location 2 identified 10,280 sequences represented by Affymetrix probe sets whose expression varied significantly between genotypes of the population. Of these 1,455 were identified in the point location as well. A sub-set of 542 transcripts were identified that each mapped to a single chromosome interval illustrating that major expression QTLs can be found in wheat. Genomic regions corresponding to multiple expression QTLs were identified that were coincident with previous identified seed quality trait QTL. These regions may be important regulatory regions governing economically important traits. Comparison of expression mapping data with physical mapping for a sub-set of sequences showed that both cis and trans acting expression QTLs were present. Keywords: genetic differences, expression QTL
2007-03-25 | GSE5937 | GEO
Project description:In the fire ant Solenopsis invicta, a colony queen number is determined by the founding queen's genotypes at the 13 Mb supergene with the non-recombining variants SB and Sb. Single-queen colonies are always headed by SB/SB queens while multiple-queens colonies are always headed by SB/Sb queens. The two variants of the supergene, SB and Sb are completely linked to the two alleles (B and b) of the gene Gp-9. SB/SB and SB/Sb queens differ in many physiological traits including their maturation rate and odor. To explain why SB/SB and SB/Sb queens have different odors, and why SB/SB virgins mature faster and accumulate more fat, we measured expression of ~6000 genes in virgin queens 1 and 11 days after eclosion and in reproductive queens. Keywords: fire ants, Solenopsis invicta, Supergene, queen, Gp-9, social form, maturation, fat storage, queen odor, cuticular hydrocarbon, worker discrimination, monogyne, polygyne, transposon, chemical signaling
2012-11-07 | GSE42062 | GEO
Project description:In the fire ant Solenopsis invicta, a colony queen number is determined by the founding queen's genotypes at the 13 Mb supergene with the non-recombining variants SB and Sb. Single-queen colonies are always headed by SB/SB queens while multiple-queens colonies are always headed by SB/Sb queens. The two variants of the supergene, SB and Sb are completely linked to the two alleles (B and b) of the gene Gp-9. SB/SB and SB/Sb queens differ in many physiological traits including their maturation rate and odor. To explain why SB/SB and SB/Sb queens have different odors, and why SB/SB virgins mature faster and accumulate more fat, we measured expression of ~6000 genes in virgin queens 1 and 11 days after eclosion and in reproductive queens. Keywords: fire ants, Solenopsis invicta, Supergene, queen, Gp-9, social form, maturation, fat storage, queen odor, cuticular hydrocarbon, worker discrimination, monogyne, polygyne, transposon, chemical signaling Six-condition experiment: 1-day-old SB/SB virgins, 1-day-old SB/Sb virgins, 11-day-old SB/SB virgins, 11-day-old SB/Sb virgins, SB/SB reproductive queens, SB/Sb reproductive queens. Biological replicates: 8 for 1-day-old SB/SB virgins and 1-day-old SB/Sb virgins that were collected in 2008; 8 for 1-day-old SB/SB virgins, 1-day-old SB/Sb virgins that were collected in 2009; 7 for 11-day-old SB/SB virgins and 11-day-old SB/Sb virgins that were collected in 2008; 8 for 11-day-old SB/SB virgins and 11-day-old SB/Sb virgins that were collected in 2009; 8 for SB/SB and SB/Sb reproductive queens (only collected in 2009). Samples were labeled with Cy3 and were compared to the same common reference RNA labeled with Cy5. Samples from 2008 were hybridized on the microarrays batch I and samples from 2009 were hybridized on the microarrays batch J.
2012-11-07 | E-GEOD-42062 | biostudies-arrayexpress
Project description:Misgurnus anguillicaudatus breed:F1 progenies Raw sequence reads
| PRJNA317549 | ENA
Project description:Antimony (Sb) pollution, especially released from mining activities has already been widely recognized as a global concern. To gauge strategies for the remediation of an Sb-contaminated ecosystem, the exploration of native microbiota Sb(III) resistance mechanism is of great significance. Acinetobacter is one of the bacterial genera abundantly thriving in Sb(III)-contaminated environments, the scientific elaboration of Sb(III)-resistance mechanisms of Acinetobacter is imperative. Proteomics experiment was performed (Acinetobacter johnsonii JH7 with and without Sb(III) addtion) to probe its pattern of proteins change under Sb(III) stress. We hope that the mechanisms of Sb(III) resistance of Acinetobacter could be revealed by using iTRAQ this time.
2020-01-20 | PXD017203 |