Defense mechanisms against herbivory: expression regulation of spruce gene family members representative of the phenylpropanoid pathway
Ontology highlight
ABSTRACT:
ORGANISM(S): Picea engelmannii x Picea glauca
SUBMITTER: Ilga Porth
PROVIDER: E-GEOD-22116 | biostudies-arrayexpress |
REPOSITORIES: biostudies-arrayexpress
Similar Datasets
Project description:A 21.8k spruce EST-spotted microarray was utilized to examine the genetic basis of constitutive defenses against herbivory. From twelve-year-old trees originating from partial diallel pedigree that segregates for resistance against Pissodes strobi, bark tissue of apical leaders was harvested at the onset of seasonal growth and natural weevil activity in the field. Our experimental design is based on a priori known genotype. We identified cross 26 from ♀PG87*♂PG165, cross 27 from ♀PG87*♂PG117, cross 29 from ♀PG21*♂PG165 and cross 32 from ♀PG21*♂PG117, respectively, forming a factorial diallel which showed widest segregation, based on a higher number of segregating SNP loci with genotypes significantly different between the most extreme resistance categories. The distant pair design introduced by ({Fu, 2006}) was modified for outbreds and maximized direct comparisons between different alleles at each locus. Our design resulted in 94 hybridisations profiling 48 individuals in cross 26, 36 in cross 27, and 50 in cross 29 as well as 54 individuals in cross 32. One criterion for identifying positional candidate genes involved that any association between trait variation and genotype variation had to be detected within 10 cM map distances; positional candidate genes for the studied phenotypic trait were then identified by strong collocations of transcript abundance variation and overlap of at least 40% of their expression quantitative trait loci (eQTLs) with phenotypic trait QTLs. 10,000 randomizations were run (p < 0.05).
2011-01-01 | GSE22116 | GEO
Project description:We performed a transcriptome analysis of interior spruce (Picea glauca x engelmannii) bark response to weevil (Pissodes strobi) feeding using 21.8K spruce microarray (that contains 21.8 thousand unique transcripts). This microarray study revealed a large rearrangement of the interior spruce bark transcriptome in response to weevil feeding involving differential expression of close to 20% of the studied transcriptome. RNA was isolated from the bark of interior spruce exposed to weevil feeding and from the bark of untreated trees at three time points (6 hours, 2 days and 2 weeks). Four independent biological replicates were included for treatment and control at each time point. Four hybridizations were performed for treatment and control comparison within each time point (6 hours, 2 days, 2 weeks) and one hybridization was performed for each comparison between time points for both treatment and control (total 18 hybridizations/slides).
2012-12-01 | E-GEOD-23715 | biostudies-arrayexpress
Project description:Using 21K spruce microarray (that contains 21.8 thousand unique transcripts) we performed analysis of the transcriptome response of interior spruce (Picea glauca x engelmannii) inoculated with the spruce beetle (Dendroctonus rufipennis) vectored blue stain fungal pathogen Leptographium abietinum or treated with wounding. This microarray analysis revealed large transcriptome reorganization with close to 2000 transcripts (10% of the studied transcriptome) differentially expressed within two weeks of treatment, with the wounding response affecting close to 5% of the interior spruce transcriptome. RNA was isolated from the bark of interior spruce inoculated with Leptographium abietinum, treated with wounding, or untreated control for three time points (6h, 2days and 2 weeks). Three independent biological replicates were included for each treatment and each time point. Three hybridizations were performed for each comparison of different treatments (fungal, wounding, control) within each time point (6 hours, 2 days, 2 weeks) and one hybridization was performed for the comparison of the same treatments between time points (total 36 hybridizations/slides).
2012-12-01 | E-GEOD-23678 | biostudies-arrayexpress
Project description:White pine weevil is a major pest of conifers in North America, especially for Spruce trees. Constitutive defenses are important in understanding defense mechanisms because they constitute the initial barrier to attacks by weevils and other pests. Resistant and susceptible trees exhibit constitutive differences in spruce. To improve our knowledge of their genetic basis, we compared the constitutive expression levels of 17,825 genes between 20 resistant and 20 susceptible trees in interior spruce (Picea glauca). Twenty hybridizations were performed to compare untreated bark of resistant and susceptible trees.RNA isolated from each of the 20 individual untreated resistant trees was compared directly against the 20 individual untreated susceptble trees using two hybridizations with a dye flip for each tree pair.
2011-11-28 | E-GEOD-27476 | biostudies-arrayexpress
Project description:Inferring the heritability of gene expression is one of the main areas of the field of genetical genomics. With the possibility to treat the abundances of gene transcripts as a suite of quantitative traits, genetical genomics can make an extensive use of the microarray technology. Here we extended a major method for estimating the heritability of a quantitative trait, single parent-offspring regression, to assess the heritability of the expression of genes with two-channel microarrays. In a series of maternal parent-offspring pairs of Interior spruce (Picea glauca x engelmannii, our focus in the outer stem tissues is the expression of defense-related genes, the heritability of which can affect fitness and necessary for evolution by natural selection. Parent-offspring pairs of Interior spruce planted as a part of Tree Breeding and Improvement Program of the Forest Genetics Section, British Columbia Ministry of Forests and Range, Prince George, BC, Canada (http://www.for.gov.bc.ca/hre/forgen/interior/spruce.htm#1) were used. A total of 30 trees, comprising 15 parent-offpsring pairs were sampled. These include15 offsprings and 15 maternal parents (grafts), which were planted within ~ 1Km range west (122º 42’ 43’’W, 53º 45’41’’N) of the offsprings, hence grown in a relatively similar environment. The bark and the attached phloem were separated from inner layers in the mid-morning hours of June 25, 2008, flash-frozen in liquid nitrogen, and transferred into separate containers. A chain design was decided for gene expression profiling (a total of 45 slides) using the Treenomix third generation cDNA microarray platform (GEO accession #: GPL5423). Array350 kit (Genisphere, Hatfield, USA) was chosen for the microarray hybridizations. The slides were scanned with a ProScanArray scanner (PerkinElmer, Downers Grove, IL, USA), and the scanned TIF images were processed by ImaGene software (BioDiscovery, Inc., El Segundo, CA, USA) to quantify spot signals. Normalization was done between arrays using variance stabilizing (VSN) method for ratio based analysis of the expression data.
2010-07-15 | E-GEOD-22921 | biostudies-arrayexpress
Project description:Cold acclimation in conifers is a complex process, the timing and extent of which reflects local adaptation and varies widely along latitudinal gradients for many temperate and boreal tree species. In spite of their ecological and economic importance, little is known about the global changes in gene expression that accompany autumn cold acclimation in conifers. Using three populations of Sitka spruce (Picea sitchensis) spanning the species range, and a Picea cDNA microarray with 21,840 unique elements, we monitored within and among-population gene expression during the fall. Microarray data were validated for selected genes using real-time PCR. Similar numbers of genes were significantly two-fold upregulated (1,257) and downregulated (967) between late summer and early winter. Among those upregulated were dehydrins, pathogenesis-related/antifreeze genes, carbohydrate and lipid metabolism genes, and genes involved in signal transduction and transcriptional regulation. Among-population microarray hybridizations at early and late autumn time points revealed substantial variation in the autumn transcriptome, some of which may reflect local adaptation. Our results demonstrate the complexity of cold acclimation in conifers, highlight similarities and differences to cold tolerance in annual plants, and provide a solid foundation for functional and genetic studies of this important adaptive process in conifers. Keywords: Time course Foliage for RNA extraction was obtained from four-year-old Sitka spruce seedlings, which were grown from seed collected across the species range in a raised-bed outdoor common garden in Vancouver, BC, Canada (49º N) (Mimura and Aitken, 2007, Heredity). Needle tissues from current year upper lateral shoots, separated from stem and bark tissue, were collected at five time points between late summer and early winter, 2004. Three populations were chosen for sampling: Valdez, Alaska, USA (61º N) (AK), Prince Rupert, British Columbia, Canada (54º N) (BC) and Redwood, California, USA (41º N) (CA) (Figure 1a). Needle samples (~1g) were taken from eight individuals in the BC population on each of the five dates (Aug. 30, Oct. 18, Nov. 24, Dec. 1, and Dec. 13). Eight individuals from the AK and CA populations were also sampled on the second and fourth dates, as well as eight additional individuals from the BC population. Tissues were flash frozen in an N2 vapor tank immediately upon collection, and subsequently stored at -80°C until processing. To decrease the effects of biological variance among individual seedlings within populations, equal amounts of foliar tissue were pooled from four individuals prior to RNA extraction. Two pools were collected at each time point for each population, and total RNA was extracted following a previously published protocol (Kolosova et al., 2004). Slides were scanned and spot intensity quantified using ImaGene software (BioDiscovery, Inc., El Segundo, CA). To correct for background intensity, the lowest 10% of median foreground intensities was subtracted from the median foreground intensities. Data were then normalized by variance stabilizing normalization (VSN) to compensate for nonlinearity of intensity distributions (Huber et al., 2002). To identify significant changes in gene expression, a linear mixed-effects model was fit to the normalized intensities in the Cy3 and Cy5 channels of the 32 microarray slides. The model contained an adjustment for dye bias, an array effect indicating which Cy5/Cy3 pair was on each array, a treatment effect indicating sample population and time point, and a random effect to adjust for repeated measures on the same biological sample (Kerr et al., 2000). P-values were computed for each gene-by-treatment effect and Q-values were calculated to adjust for the false discovery rate (FDR) (Storey & Tibshirani, 2003).
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2011-10-16 | E-GEOD-24967 | biostudies-arrayexpress
Project description:Considerable interest and controversy has arisen over the potential effects of seismic surveys carried out during exploration for oil and gas deposits. Regarding fish, there is a concern that intense sound sources, such as seismic airguns, may injure their auditory system. In this study, salmonid cDNA microarrays, reciprocal suppression subtractive hybridization (SSH) cDNA libraries and quantitative reverse transcription – polymerase chain reaction (QPCR) were used to identify and study a responsive gene set in the inner ear of Atlantic salmon (Salmo salar) following seismic airgun exposure. Microarray analyses on pooled seismic exposed inner ear RNA versus pooled control inner ear RNA revealed 79 unique transcripts (passing background threshold) that were greater than 1.75-fold differentially-regulated by acoustic stress on at least 3 of the 4 slides in the study (including at least one dye-swap). QPCR analyses of 8 microarray-identified transcripts of interest revealed a significant up-regulation (P<0.05) of transcripts encoding nicotinamide riboside kinase 2 (1.89-fold) and hemoglobin subunit alpha-4 (3.78-fold), and a significant down-regulation (P<0.05) of a transcript encoding C14orf159 protein (1.35-fold). QPCR analyses also confirmed an overall up-regulation of transcripts encoding growth hormone I (7.78-fold), c-type lectin receptor A (2.20-fold) and retinol binding protein I (1.24-fold), however these differences were not considered to be statistically significant (P<0.05) due to the high biological variability in the seismic exposed group for these transcripts of interest. A total of 683 expressed sequence tags (ESTs) generated from SSH cDNA salmon ear libraries enriched for genes responsive to seismic airgun noise have been deposited in the GenBank dbEST. Targeted gene discovery in salmon ear allowed for the identification of novel transcripts, including some with sensory-relevant functional annotations, and represents a significant contribution to salmonid hearing research. Initial results demonstrate that genomics has the potential to greatly enhance our understanding of the impact of seismic airguns on gene and molecular pathways involved in hearing, and provide valuable molecular biomarkers that can act as an early warning sensor to acoustic stress. Juvenile Atlantic salmon (Salmo salar) smolt were obtained from North Water Products Ltd., Daniel’s Harbour, NL and held at ambient seawater temperature, in a flow-through system supplied with air at the Northwest Atlantic Fisheries Centre, St. John’s, NL. Two weeks prior to seismic airgun exposures, fish were divided into two 1m3 cages, one each for control (non-exposed) and exposed groups, in a 15,000L aquarium at ambient seawater temperature (0.2°C). Each cage was placed the same distance from the water intake and airstones were placed next to each cage. Fish were fasted for two days prior to exposure. Sixteen control (non-exposed) fish from one cage were sampled prior to seismic activity. Immediately following sampling of control fish, seventeen fish in the remaining cage were placed 2m from a 10in3 Texas Instruments airgun. Fish were subjected to 50 exposures, 1 exposure every 10 seconds, at an average sound pressure level of 204 dB peak-to-peak relative to 1µPa; considered to be a worse case scenario within a few hundred meters of a survey vessel. Seventeen seismic exposed fish were sampled 16 h following exposure. The only aquarium available that was suitable for seismic airgun exposures was not designed to have a regulated photoperiod. For this reason the fish were held under a constant daylight regime. Fish were collected by dip-net and euthanized by severing the spinal cord. The inner ears from each salmon were removed, placed immediately in RNase-free 2 ml tubes, and then flash frozen in liquid nitrogen. RNA isolated from the right inner ear of the 12 seismic exposed and 12 control individuals that gave the highest total RNA yields were used to generate 2 mRNA pools (a “seismic” pool and a “control” pool). Each sample contributed 4.0 µg column purified total RNA to each pool. Comparisons were made for the seismic exposed mRNA pool compared to the control (non-exposed) mRNA pool using the consortium for Genomic Research on All Salmonids Project (cGRASP) 16K (salmonid) cDNA array and the 3DNA Array 900 Detection Kit and instructions (Genisphere). Technical quadruplicate slides including 2 dye-swaps were run for the comparison. Slide GG003_011: Cy5-labeled control ear, Cy3-labeled seismic Slide GG003_012: Cy5-labeled control ear, Cy3-labeled seismic Slide GG003_013: Cy3-labeled control ear, Cy5-labeled seismic Slide GG003_014: Cy3-labeled control ear, Cy5-labeled seismic
2012-02-28 | E-GEOD-33257 | biostudies-arrayexpress