Sweet wort metagenome
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ABSTRACT:
PROVIDER: PRJEB21086 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:Transcriptional profiling of sweet corn response to plant density (crowding stress). Determine the extent to which hybrid and environment influences crowding stress response and identify crowding stress transcriptional response in sweet corn
2021-06-01 | GSE72434 | GEO
Project description:• To dissect how the genes are dynamically and differentially expressed during fruit development in sweet orange, a comprehensive transcriptomic study was performed in a pleiotropic mutant (MT) and its wild type (WT). • The detection of the fruit transcriptomic changes was conducted at five stages of fruit development by deep sequencing; the obtained millions of reliable tags were mapped on orange unigenes and subjected to cluster analysis and functional categorization. Sugar and organic acid contents were determined based on the prediction of differential biological processes. • The global clustering analysis revealed a total of 14 expression patterns for the genes involved in fruit development of sweet orange. More than 94% of the genes showed differential expression during fruit development. Comparative transcripts profiling between WT and MT revealed that between 410 and 634 genes were significantly differentially expressed at the five stages. Functional categorization indicated that TCA cycle, carotenoid biosynthesis, and pentose phosphate pathway (OPP) were among the most regulated pathways. • This study provided a dynamic-view of the transcriptome changes during fruit ripening in sweet orange; the results highlighted a set of molecular processes involved in the formation of the mutation trait in the orange fruits. Investigate the transcriptome changes during five fruit developmental stages of two sweet orange genotypes
2012-06-22 | E-GEOD-22505 | biostudies-arrayexpress
Project description:To screen genes related to the development of sweet potato tuberous roots, the high throughput sequencing of different stages of sweet potato tuberous roots was performed. The fibrous roots (FR; roots at 20 dap), developing tuberous roots (DR; roots at 60 dap) and mature tuberous roots (MR; roots at 120 dap) of Ipomoea batatas (L.) Taizhong 6 and MBP3 overexpressed lines were used for transcriptome analysis. Totally, we identified 5488 differentially expressed genes between different stage tuberous roots of Taizhong6 and 14312 differentially expressed genes between the tuberous roots of Taizhong6 and MBP3 overexpressed lines, by calculating the gene FPKM in each sample and conducting differential gene analysis. This study provides a foundation for the mechanism analysis of sweet potato tuberous root development.
2023-10-12 | GSE245185 | GEO
Project description:miRNAs-mediated gene silencing pathway plays vital roles in plant development, abiotic and biotic stress responses. Here, we carried out a high-throughput sequencing approach to identify miRNAs in leaves and flowers of sweet orange. Consequently we identified genome-wide 183 known miRNAs and 38 novel miRNAs. Small RNA sequencing of the leaves and flowers in sweet orange
2014-10-21 | E-GEOD-46747 | biostudies-arrayexpress
Project description:Salt stress has become one of the main abiotic stress factors restricting agricultural production worldwide. Sweet sorghum is an important salt and drought tolerant feed and energy crop. Its salt tolerance mechanism has not been widely studied. With the development of transcriptome sequencing technology, it is possible to study the molecular mechanism of sweet sorghum salt tolerance. The purpose of this study was to further reveal the potential salt-tolerant molecular mechanisms of sweet sorghum through high-throughput sequencing analysis of the transcriptome. Finally, through high-throughput sequencing, we read approximately 54.4G of raw base and 53.7G of clean base in total, and used FastQC to assign a quality score (Q) to each base in the read using a similar phred algorithm, Analysis shows that the data is highly credible. We conclude that RNA-based transcriptome characterization will accelerate the study of genetics and molecular biology of sweet sorghum salt tolerance mechanisms and provide a framework for this.
2020-03-19 | GSE145748 | GEO
Project description:Transcriptional profiling of sweet corn plant density (crowding stress) tolerance influencing yield. Tolerance to crowding stress has played a crucial role in improving agronomic productivity in field corn; however, commercial sweet corn hybrids vary greatly in crowding stress tolerance. The experiment was conducted to 1) explore transcriptional changes among sweet corn hybrids with differential yield under crowding stress, 2) identify relationships between phenotypic responses and gene expression patterns, and 3) identify groups of genes associated with yield and crowding stress tolerance. Under conditions of crowding stress, three high-yielding and three low-yielding sweet corn hybrids were grouped for transcriptional and phenotypic analyses. Transcriptional analyses identified from 372 to 859 common differentially expressed genes (DEGs) for each hybrid. Large gene expression pattern variation among hybrids and only 26 common DEGs across all hybrid comparisons were identified, suggesting each hybrid has a unique response to crowding stress. Over-represented biological functions of DEGs also differed among hybrids. Strong correlation was observed between: 1) modules with up-regulation in high-yielding hybrids and yield traits, and 2) modules with up-regulation in low-yielding hybrids and plant/ear traits. Modules linked with yield traits may be important crowding stress response mechanisms influencing crop yield. Functional analysis of the modules and common DEGs identified candidate crowding stress tolerant processes in photosynthesis, glycolysis, cell wall, carbohydrate/nitrogen metabolic process, chromatin, and transcription regulation. Moreover, these biological functions were greatly inter-connected, indicating the importance of improving the mechanisms as a network. 3 high-and 3 low-yielding hybrids with 2-3 biological replications grown under high population density (crowding stress)
2016-01-05 | E-GEOD-73435 | biostudies-arrayexpress
Project description:Four small RNA libraries from two contrasting sweet sorghum genotypes were sequenced. In this study, One hundred and ninety-five conserved miRNAs belonging to 56 families and 25 putative novel miRNAs from 28 precursors were identified, among which 38 conserved and 24 novel miRNAs were differentially expressed under Cd stress and/or between H18 and L69. Two groups of them: miR169p/q-nov_23 and miR408 were further focused through the coexpression analysis and might be involved in Cd transport, cytoskeleton activity and cell wall construction by regulating their targets. This study presents new insights into the regulatory roles of miRNAs in Cd accumulation and tolerance in sweet sorghum and will help to develop high-Cd accumulation or high Cd-resistant germplasm of sweet sorghum through molecular breeding and/or genetic engineering approaches.
2023-10-12 | GSE145617 | GEO
Project description:Small RNAs (sRNAs) are emerging as important regulators of biological processes in plants. To characterize the small RNA species and expression changes in ‘Anliu’ sweet orange (wild type, WT) and its red-flesh mutant (MT) with lycopene accumulation, we used high-throughput pyrosequencing to identify and quantitatively profile sRNAs. We identified 112 known miRNAs belonging to 64 families from the sweet orange. Comparative analysis revealed that 63 of the 112 known miRNAs exhibited significant expression differences between WT and MT. We also identified 12 novel miRNAs and 9 miRNA candidates from sweet orange; the 12 novel miRNAs are in line with the biogenesis characteristics including the stem-loop structure of the pre-miRNAs and existence of the miRNA*s in the sRNA libraries. Comparative profiling revealed that 10 novel miRNAs and 8 miRNA candidates are differentially expressed between WT and MT. Potential targets of these differentially expressed miRNAs included several important genes that are involved in carotenoid biosynthesis, such as geranylgeranyl pyrophosphate synthase (GGPS) and lycopene β-cyclase (LYCb). Moreover, GO and KEGG annotation revealed that high ranked miRNA-target genes are those implicated in transcription regulation, protein modification and photosynthesis. We proposed that miRNA-target genes are the hot-spots for generating sRNAs. This study provides the first large scale cloning and characterization of citrus miRNAs, which also lays a foundation for unraveling the mechanism of lycopene accumulation in the sweet orange mutant on post-transcription level. Size fractionated small RNAs (16-30 bp) from total RNA extracts was ligated to 5' and 3' adapters, and reverse transcribed. After PCR amplification the sample was subjected to Solexa sequencing. The resultant 35nt sequence data were filtered according to base quality value. The remained sequences were used to trim 5' and 3' adaptors. The clean tags were used for further analysis.
2010-09-22 | E-GEOD-18207 | biostudies-arrayexpress
Project description:Transcriptional profiling of sweet corn plant density (crowding stress) tolerance influencing yield. Tolerance to crowding stress has played a crucial role in improving agronomic productivity in field corn; however, commercial sweet corn hybrids vary greatly in crowding stress tolerance. The experiment was conducted to 1) explore transcriptional changes among sweet corn hybrids with differential yield under crowding stress, 2) identify relationships between phenotypic responses and gene expression patterns, and 3) identify groups of genes associated with yield and crowding stress tolerance. Under conditions of crowding stress, three high-yielding and three low-yielding sweet corn hybrids were grouped for transcriptional and phenotypic analyses. Transcriptional analyses identified from 372 to 859 common differentially expressed genes (DEGs) for each hybrid. Large gene expression pattern variation among hybrids and only 26 common DEGs across all hybrid comparisons were identified, suggesting each hybrid has a unique response to crowding stress. Over-represented biological functions of DEGs also differed among hybrids. Strong correlation was observed between: 1) modules with up-regulation in high-yielding hybrids and yield traits, and 2) modules with up-regulation in low-yielding hybrids and plant/ear traits. Modules linked with yield traits may be important crowding stress response mechanisms influencing crop yield. Functional analysis of the modules and common DEGs identified candidate crowding stress tolerant processes in photosynthesis, glycolysis, cell wall, carbohydrate/nitrogen metabolic process, chromatin, and transcription regulation. Moreover, these biological functions were greatly inter-connected, indicating the importance of improving the mechanisms as a network.
2016-01-05 | GSE73435 | GEO
Project description:miRNAs-mediated gene silencing pathway plays vital roles in plant development, abiotic and biotic stress responses. Here, we carried out a high-throughput sequencing approach to identify miRNAs targets in leaves, flowers and fruit of sweet orange.C onsequently, 55257, 62365 and 19393 degraded mRNA fragments were identified in leaf, flower and fruit, respectively. miRNAs-mediated degraded fragments sequencing of the leaves, flowers and fruit in sweet orange
2014-10-21 | E-GEOD-46764 | biostudies-arrayexpress