Maize grown under normal field conditions vs under 60% shade or under 2X density
Ontology highlight
ABSTRACT:
ORGANISM(S): Zea mays
SUBMITTER: David Horvath
PROVIDER: E-GEOD-13768 | biostudies-arrayexpress |
REPOSITORIES: biostudies-arrayexpress
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Project description:This study was designed to identify changes in gene expression when corn was placed under various related stresses including being grown with a competing weed (canola) to the V4 or V8 stage, or when 40% shade cloth was present to the V4 or V8 stage, or under low nitrogen (no added nitrogen fertilizer), or under weed/shade free fertilized control conditions. In all 5 treatments and the control, samples were harvested at V8. Mechanisms underlying early season weed stress on crop growth are not well described. Corn vegetative growth and development, yield, and gene expression response to nitrogen (N), light (40% shade), and weed stresses were compared with the response of nonstressed plants. Vegetative parameters, including leaf area and biomass, were measured from V2 toV12 corn stages. Transcriptome (2008) or quantitative Polymerase Chain Reaction (q PCR) (2008/09) analyses examined differential gene expression in stressed versus nonstressed corn at V8. Vegetative parameters were impacted minimally by N stress although grain yield was 40% lower. Shade, present until V2, reduced biomass and leaf area > 50% at V2 and, at V12, recovering plants remained smaller than nonstressed plants. Grain yields of shade-stressed plants were similar to nonstressed controls, unless shade remained until V8. Growth and yield reductions due to weed stress in 2008 were observed when weeds remained until V6. In 2009, weed stress at V2 reduced vegetative growth, and weed stress until V4 or later reduced yield. Principle component analysis of differentially expressed genes indicated that shade and weed stress had more similar gene expression patterns to each other than to nonstressed or low N stressed tissues. Weed-stressed corn had 630 differentially expressed genes compared with the nonstressed control. Of these genes, 259 differed and 82 were shared with shade-stressed plants. Corn grown in N-stressed conditions shared 252 differentially expressed genes with weed-stressed plants. Ontologies associated with light/photosynthesis, energy conversion, and signaling were down-regulated in response to all three stresses. Although shade and weed stress clustered most tightly together, only three ontologies were shared by these stresses, O-methyltransferase activity (lignification processes), Poly U binding activity (post-transcriptional gene regulation), and stomatal movement. Based on both morphologic and genomic observations, results suggest that shade, N, and weed stresses to corn are regulated by both different and overlapping mechanisms. three biological replicates for each treatment and the control were collected and the resulting labeled cDNA was hybridized to the 46,000-element maize microarray chip developed by the University of Arizona using their protocol (International Microarray Workshop Handbook, 2009Gardiner et al. 2005). The hybridization scheme was a dual hybridization using a rolling circle balanced dye swap design. Thus we had thre biological replicates for each growth condition amd two technical replicates for each biological sample.
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Project description:This study was designed to identify changes in gene expression that occur when corn was grown on different landscape features. Specifically on the backslope or summit/shoulder of a hill. In rolling landscapes, plant available water varies drastically by location and soil type. Almost simultaneously, plants may be flooded out in footslope locations whereas plants in summit locations may be suffering from severe drought. The objective of this study was to determine the influence of landscape position on corn (Zea mays) productivity and gene regulation. Corn was sampled at V12 for plant growth characteristics and transcriptome analysis at summit/shoulder and lower backslope positions. Plants at the summit had 16% less leaf area and biomass compared with plants at the toeslope. Gene expression analysis using microarray chips, transcriptome analysis, and qPCR indicated that plants at the summit had 708 genes down-regulated and 399 genes up-regulated compared to control plants at the lower back slope. GSEA (Gene Set Enrichment Analysis) indicated tolerance to cold, salt, and drying were increased in summit/should plants compared to control toeslope plants. However, nutrient uptake, recovery from wounding, pest and fungal disease resistance, along with photosynthetic capacity were all down-regulated in moderate water stresses plants. These responses suggest that corn preferentially responses to water stress as the expense of its ability to respond to other stresses. Three biological replicates for the control (backslope) and six biological replicate of summit/shoulder-grown plants were collected. The resulting labeled cDNA was hybridized to the 46,000-element maize microarray chip developed by the University of Arizona using their protocol (International Microarray Workshop Handbook, 2009Gardiner et al. 2005). The hybridization scheme was a dual hybridization using a rolling circle balanced dye swap design. Thus we had three to six biological replicates for each growth condition and two technical replicates for each biological sample.
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Project description:This study aimed at investigating the effect in Grapevine of two different rootstocks (1103 Paulsen - P - and Mgt 101-14 - M) in comparison with not grafted plants - F - on the transcriptome of berry skin in Pinot noir (clone Entav 115), to explore the influence of rootstock-scion interaction on grape quality. 7-year old grapevine plants were grown in 70-liters, in an open field arranged in a randomized block design with 9 replicates for each root system. The plants were maintained in the same agronomic conditions: all the pots were fertilized and were abundantly irrigated. Berry samples (15 per plant, 3 plants per replicate), were collected at two different developmental stage: veraison (1) and maturation (2), and dissected to separate skin tissues. Total RNA was extracted from berry skins and DNase treated. 18 mRNA seq libraries were prepared, starting from total RNA (1 µg), using TruSeq RNA sample preparation kit (Illumina), according to manufacturers’ instructions. Libraries were quantified through qRT-PCR, as recommended by the protocol, and single-end sequenced for 100 bases on an Illumina Genome Analyzer (GAIIx).
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