Triticum aestivum
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ABSTRACT:
PROVIDER: PRJNA137967 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:Barley contains a much higher content of bioactive substances than wheat. In order to investigate the effect of genome interaction between barley and wheat on phytosterol content, we used a series of barley chromosome addition lines of common wheat. The wheat 38k-microarray was utilized for screening of genes with expression levels specifically increased by an additive effect or synergistic action between wheat and barley chromosomes. We determined the overall expression pattern of genes related to phytosterol biosynthesis in wheat and in each addition line. Together with determining the phytosterol levels of wheat, barley and each addition line, we assess the critical genes in the phytosterol pathway that can be expressed to promote phytosterol levels.
2011-12-08 | GSE28023 | GEO
Project description:Barley contains a much higher content of bioactive substances than wheat. In order to investigate the effect of genome interaction between barley and wheat on phytosterol content, we used a series of barley chromosome addition lines of common wheat. The wheat 38k-microarray was utilized for screening of genes with expression levels specifically increased by an additive effect or synergistic action between wheat and barley chromosomes. We determined the overall expression pattern of genes related to phytosterol biosynthesis in wheat and in each addition line. Together with determining the phytosterol levels of wheat, barley and each addition line, we assess the critical genes in the phytosterol pathway that can be expressed to promote phytosterol levels. Gene expression levels of each barley chromosome addition line of common wheat were compared to that of common wheat. Total RNA samples were isolated from the 2-week-old seedling leaves. The experiments were replicated three times for each addition line using independent samples.
2011-12-08 | E-GEOD-28023 | biostudies-arrayexpress
Project description:Skim-sequencing of wheat-barley recombinant lines
| PRJNA738484 | ENA
Project description:RNA profiling of Fusarium head blight-resistant wheat addition lines containing the Thinopyrum elongatum chromosome 7E
| PRJNA126065 | ENA
Project description:Aluminum stress study in wheat and wheat-rye addition lines 3R and 6R.
| PRJNA379482 | ENA
Project description:To better understand the regulatory mechanisms of water stress response in wheat, the transcript profiles in roots of two wheat genotypes, namely, drought tolerant 'Luohan No.2' (LH) and drought susceptible 'Chinese Spring' (CS) under water-stress were comparatively analyzed by using the Affymetrix wheat GeneChip®. A total of 3831 transcripts displayed 2-fold or more expression changes, 1593 transcripts were induced compared with 2238 transcripts were repressed, in LH under water-stress; Relatively fewer transcripts were drought responsive in CS, 1404 transcripts were induced and 1493 were repressed. Comparatively, 569 transcripts were commonly induced and 424 transcripts commonly repressed in LH and CS under water-stress. 689 transcripts (757 probe sets) identified from LH and 537 transcripts (575 probe sets) from CS were annotated and classified into 10 functional categories, and 74 transcripts derived from 80 probe sets displayed the change ratios no less than 16 in LH or CS. Several kinds of candidate genes were differentially expressed between the LH and CS, which could be responsible for the difference in drought tolerance of the two genotypes.
2012-01-01 | GSE30872 | GEO
Project description:We utilized the Barley1 Affymetrix GeneChip for comparative transcript analysis of Betzes barley, Chinese Spring wheat, and Chinese Spring–Betzes ditelosomic chromosome addition lines to physically map barley genes to their respective chromosome arm locations. We mapped barley genes to chromosome arms (1HS, 2HS, 2HL, 3HS, 3HL, 4HS, 4HL, 5HS, 5HL, 7HS, and 7HL) based on their transcript levels in the ditelosomic addition lines. ****[PLEXdb(http://www.plexdb.org) has submitted this series at GEO on behalf of the original contributor, Hatice Bilgic. The equivalent experiment is BB55 at PLEXdb.]
2011-11-22 | GSE33400 | GEO
Project description:Microarray of barley genes in wheat-barley chromosome addition lines
| PRJNA148947 | ENA
Project description:Transcript levels of barley genes were examined in the wheat-barley chromosome addition lines having one of six barley chromomes, 2H, 3H, 4H, 5H, 6H and 7H. ****[PLEXdb(http://www.plexdb.org) has submitted this series at GEO on behalf of the original contributor, Seungho Cho. The equivalent experiment is BB8 at PLEXdb.]
2011-11-22 | GSE33415 | GEO
Project description:Background: MicroRNAs regulate various biological processes in plants. Considerable data are available on miRNAs involved in the development of rice, maize and barley. In contrast, little is known about miRNAs and their functions in the development of wheat. In this study, five small RNA (sRNA) libraries from wheat seedlings, flag leaves, and developing seeds were developed and sequenced to identify miRNAs and understand their functions in wheat development. Results: Twenty-four known miRNAs belonging to 15 miRNA families were identified from 18 MIRNA loci in wheat in the present study, including 15 (9 MIRNA loci) first identified in wheat, 13 miRNA families (16 MIRNA loci) being highly conserved and 2 (2 MIRNAs loci) moderately conserved. In addition, fifty-five novel miRNAs were also identified. The potential target genes for 15 known miRNAs and 37 novel miRNAs were predicted using strict criteria, and these target genes are involved in a wide range of biological functions. Four of the 15 known miRNA families and 22 of the 55 novel miRNAs were preferentially expressed in the developing seeds with logarithm of the fold change of 1.0～7.6, and half of them were seed-specific, suggesting that they participate in regulating wheat seed development and metabolism. From 5 days post-anthesis to 20 days post-anthesis, miR164 and miR160 increased in abundance in developing seeds, whereas miR169 decreased, suggesting their coordinating functions in the different developmental stages of wheat seed. Moreover, eight known miRNA families and 28 novel miRNAs exhibited tissue-biased expression in wheat flag leaves, with the logarithm of the fold changes of 0.5～5.2. The putative targets of these tissue-preferential miRNAs were involved in various metabolism and biological processes, suggesting complexity of the regulatory networks in different tissues. Our data also suggested that wheat flag leaves have more complicated regulatory networks of miRNAs than developing seeds. Conclusions: Our work identified and characterised wheat miRNAs, their targets and expression patterns. This study is the first to elucidate the regulatory networks of miRNAs involved in wheat flag leaves and developing seeds, and provided a foundation for future studies on specific functions of these miRNAs.
2017-01-01 | GSE50524 | GEO