Ontology highlight
ABSTRACT:
PROVIDER: PRJNA1095722 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR28547313.fastq.gz | Fastqsanger.gz | |||
| SRR28547314.fastq.gz | Fastqsanger.gz | |||
| SRR28547315.fastq.gz | Fastqsanger.gz | |||
| SRR28547316.fastq.gz | Fastqsanger.gz | |||
| SRR28547317.fastq.gz | Fastqsanger.gz |
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Project description:Sugarcane established industrial crop providing sugar, ethanol and biomass-derived electricity around the world. Cane sugar content is an important, breeding target, but its improvement remains very slow in many breeding programmes. Biotechnology strategies to improve sucrose accumulation made little progress at crop level, mainly due to the limited understanding of its regulation. MiRNAs regulate many metabolic processes in plants. However, their roles and target genes associated with sugarcane sucrose accumulation remains unknown. Here, we conducted high-throughput sequencing of transcriptome, small RNAs and degradome of leaves and stem of two sugarcane genotypes with contrasting sucrose content from the early to late stages of sucrose accumulation stages, which provided more insights into miRNA-associated gene regulation during sucrose accumulation. Transcriptome analysis identified 18,722 differentially expressed genes (DEGs) between both genotypes during sucrose accumulation. The major DEGs identified were involved in starch and sucrose metabolism, and photosynthesis etc. miRNA sequencing identified 563 known and 281 novel miRNAs from both genotypes during sucrose accumulation. Of these, 311 miRNAs were differentially expressed.752 targets of 368 miRNAs (609 targets for 260 known miRNAs and 168 targets for 108 novel miRNAs) were identified by degradom sequencing.Several known and novel miRNAs and their target genes associated with sugar metabolism, sugar transport and sucrose storage were identified in this study.This new insight into the complex network of sucrose accumulation in sugarcane will help identify candidate targets for sucrose improvement in sugarcane through molecular means.
2021-12-30 | GSE188303 | GEO
Project description:Two small RNA libraries and 2 degradome libraries were constructed from potato tubers stored at room temperature or exposed to cold stress for deep sequencing. Through small RNA sequencing, 53 known miRNAs and 59 novel miRNAs were identified. Seventy genes were identified as miRNA targets by degradome sequencing.
2015-12-24 | GSE43237 | GEO
Project description:Two small RNA libraries and 2 degradome libraries were constructed from potato tubers stored at room temperature or exposed to cold stress for deep sequencing. Through small RNA sequencing, 53 known miRNAs and 59 novel miRNAs were identified. Seventy genes were identified as miRNA targets by degradome sequencing. Small RNA sequencing and degradome sequencing of control and cold treated Solanum tuberosum tubers
2015-12-24 | E-GEOD-43237 | biostudies-arrayexpress
Project description:Seed expansion in peanut is a complex biological process involving many gene regulatory pathways. MicroRNAs (miRNAs) play important regulatory roles in plant growth and development, but little is known about their functions during seed expansion, or how they contribute to seed expansion in different peanut lines. We examined seed miRNA expression patterns at 15 and 35 days after flowering ( DAF ) in two peanut 8th generation recombinant inbred lines (RIL8); 8106, a medium-pod variety, and 8107, a super-pod variety. Using high-throughput sequencing, we identified 1082 miRNAs in developing peanut seeds including 434 novel miRNAs. We identified 316 differentially expressed miRNAs by comparing expression levels between the two peanut lines. Interestingly, 24 miRNAs showed contrasting patterns of expression in the two RILs, and 149 miRNAs were expressed predominantly in only one RIL at 35 DAF. Also, potential target genes for some conserved and novel miRNAs were identified by degradome sequencing; target genes were predicted to be involved in auxin mediated signaling pathways and cell division. We validated the expression patterns of some representative miRNAs and 12 target genes by qPCR, and found negative correlations between the expression level of miRNAs and their targets. miR156e, miR159b, miR160a, miR164a, miR166b, miR168a, miR171n, miR172c-5p, and miR319d and their corresponding target genes may play key roles in seed expansion in peanut. The results of our study also provide novel insights into the dynamic changes in miRNAs that occur during peanut seed development, and increase our understanding of miRNA function in seed expansion.
2021-01-31 | GSE110195 | GEO
Project description:MicroRNAs play critical roles in various biological and metabolic processes. The function of miRNAs has been widely studied in model plants such as Arabidopsis and rice. However, the number of identified miRNAs and related miRNA targets in peach (Prunus persica) is limited. To understand further the relationship between miRNAs and their target genes during tissue development in peach, a small RNA library and three degradome libraries were constructed from three tissues for deep sequencing. We identified 117 conserved miRNAs and 186 novel miRNA candidates in peach by deep sequencing and 19 conserved miRNAs and 13 novel miRNAs were further evaluated for their expression by RT-qPCR. The number of gene targets that were identified for 26 conserved miRNA families and 38 novel miRNA candidates, were 172 and 87, respectively. Some of the identified miRNA targets were abundantly represented as conserved miRNA targets in plant. However, some of them were first identified and showed important roles in peach development. Our study provides information concerning the regulatory network of miRNAs in peach and advances our understanding of miRNA functions during tissue development. To identify more conserved and peach-speciM-oM-,M-^Ac miRNAs and their target genes and to understand further the mechanism of miRNA-regulated target genes during tissue development in peach, a small RNA library and three degradome libraries were constructed from three different tissues for deep sequencing.
2014-01-01 | E-GEOD-49579 | biostudies-arrayexpress
Project description:Chinese cedar (<i>Cryptomeria fortunei</i>) is a tree species with important ornamental, medicinal, and economic value. Terpenoids extracted from the essential oil of <i>C. fortunei</i> needles have been considered valuable ingredients in the pharmaceutical and cosmetic industries. However, the possible gene regulation mechanisms that limit terpenoid biosynthesis in this genus are poorly understood. Here, we adopted integrated metabolome analysis, transcriptome, small-RNA (sRNA), and degradome sequencing to analyze the differences in terpenoid regulatory mechanisms in two different overwintering <i>C. fortunei</i> phenotypes (wild-type and an evergreen mutant). A total of 1447/6219 differentially synthesized metabolites (DSMs)/unigenes (DEGs) were detected through metabolome/transcriptome analyses, and these DSMs/DEGs were significantly enriched in flavonoid and diterpenoid biosynthesis pathways. In <i>C. fortunei</i> needles, 587 microRNAs (miRNAs), including 67 differentially expressed miRNAs (DERs), were detected. Among them, 8346 targets of 571 miRNAs were predicted using degradome data, and a 72-miRNA-target regulatory network involved in the metabolism of terpenoids and polyketides was constructed. Forty-one targets were further confirmed to be involved in terpenoid backbone and diterpenoid biosynthesis, and target analyses revealed that two miRNAs (i.e., aly-miR168a-5p and aof-miR396a) may be related to the different phenotypes and to differential regulation of diterpenoid biosynthesis. Overall, these results reveal that <i>C. fortunei</i> plants with the evergreen mutation maintain high terpenoid levels in winter through miRNA-target regulation, which provides a valuable resource for essential oil-related bioengineering research.
2022-08-12 | MTBLS3183 | MetaboLights
Project description:microRNAs (miRNAs) play vital roles in plants regulating a panoply of biological processes, such as development, hormone signaling, and the stress response, by inhibiting target genes at the post-transcriptional level. However, the roles of miRNAs in Betula luminifera remain elusive. To mine for B. luminifera miRNAs and targets, we used a deep sequencing approach to analyze the sRNAs and degradome sequencing of mixed samples, including roots, stems, and leaves. A total of 114 known miRNAs or miRNA*s from 44 families, and 24 novel miRNAs and 17 miRNA*s plus 15 plausible miRNA candidates were identified, of which 36 known miRNAs, 29 miRNA*s, and all novel miRNAs had precursor sequences. Additionally, 49 targets for 19 known miRNA families and seven miRNA*s, and seven targets for novel miRNAs were identified using a high-throughput degradome-sequencing approach. The conserved miRNA targets were mainly transcription factors, whereas the miRNA* targets were mainly protein-coding genes, with preferential propensity to functional enzymes. A Gene Ontology analysis showed that the predicted targets were classified into 62 biological processes, 20 cellular components, and 28 molecular functions, respectively. We found two different targets for 396a* and miR396c*, and the target changed when the miR156d precursor cleavage site was shifted toward the 5′-end by two nucleotides, indicating the diverse regulatory roles of MIRNA genes. Furthermore, three targets identified by degradome sequencing were validated further through 5′ rapid amplification of cDNA ends. The expression patterns of the randomly selected miRNAs varied among different tissues. miR164 expression was induced under nitrogen starvation, with tissue-specific expression patterns, and was negatively correlated with the NAC1 target gene in roots and leaves, but not in stems. This study is a transcriptome-based analysis of miRNAs and the degradome in a B. luminifera pre-model tree and provides useful information to explore the functions of miRNAs and their target genes in B. luminifera.
2019-04-08 | GSE80074 | GEO
Project description:Background: MiRNAs and phasiRNAs are negative regulators of gene expression. These small RNAs have been extensively studied in plant model species but only 10 mature microRNAs are present in miRBase version 21 and no phasiRNAs have been identified for the legume model Phaseolus vulgaris. Thanks to the recent availability of the first version of the common bean genome, degradome data and small RNA libraries, we are able to present here a catalog of the microRNAs and phasiRNAs of this organism and, particularly, new protagonists of the symbiotic nodulation events. Results: We identified a set of 185 mature miRNAs, including 121 previously unpublished sequences, encoded by 307 precursors and distributed in 98 families. Degradome data allowed us to identify a total of 181 targets for these miRNAs. We reveal two regulatory networks involving conserved miRNAs, known to play crucial roles in the well-establishment of nodules, and novel miRNAs specific of the common bean suggesting a specific action of these sequences. In parallel, we identified 125 loci that potentially produce phased small RNAs and 47 of them present all the characteristics to be triggered by a total of 31 miRNAs, including 14 new miRNAs identified in this study. Conclusions: We provide here a set of new small RNAs, which contribute to the broader scene of the sRNAome of Phaseolus vulgaris. Thanks to the identification of the miRNA targets from degradome analysis and the construction of regulatory networks between the mature microRNAs, we draw up here the probable functional regulation associated with the sRNAome and particularly in N2-fixing symbiotic nodules. Degradome sequencing from Phaseolus vulgaris seedling
2015-09-01 | E-GEOD-67432 | biostudies-arrayexpress
Project description:Background: Sugarcane is an important sugar and energy crop largely used for bioethanol production in the world. The development of sugarcane cultivars with high sucrose content and yield is one of the biggest challenges of breeding programs nowadays. To identify genes networks that underlie sucrose content and yield, we used a custom designed oligonucleotide array with 21,901 different probes to study the transcriptome from breeding populations of sugarcane contrasting to sucrose content and genotypes contrasting to photosynthesis rate. Results: Physiological and biochemical data reveals that the transcriptome profiles described here showed a close relationship between sucrose content and stem development. A total of 2135 genes were differentially expressed in at least one experimental hybridization. We identified genes related to carbohydrate metabolism, cell wall metabolism and signal transduction. The same oligoarrays was used to detect transcription in both sense and antisense orientation. The enriched functional category from antisense expressed genes reveals light harvesting and circadian clock as the two top categories that can be related to photosynthesis and yield in sugarcane. Conclusions: Knowledge on the mechanisms underlying carbon partitioning and its relationship with sucrose accumulation in sugarcane stems would help defines routes to increase yield. Our findings showed for instance that sucrose accumulation and yield in sugarcane may be regulated by hormone signaling pathways, light harvesting and circadian clock genes. Analysis of the expression data and gene category enrichment provided an insight into signaling pathways and transcriptional control contrasting in high brix and low brix plants as well as differing photosynthesis rates and yield.
2016-12-31 | GSE44389 | GEO
Project description:We deep sequenced a degradome library constructed from different soybean tissues. As a result, 19,830,257 represented 5,337,590 distinct signatures were obtained. 70.98% of the signatures were assigned to one soybean cDNA sequence and 24.05% matched with two cDNA sequences. 428 potential targets of small RNAs and 25 novel miRNA families were identified in soybean. A total of 211 potential miRNA targets including 150 conserved miRNA targets and 69 soybean-specific miRNA targets were identified. The signatures distribution on soybean primary miRNAs (pri-miRNAs) showed that most of the pri-miRNAs had the characteristic pattern of Dicer processing. The TAS3 small RNAs (siRNAs) biogenesis was conserved in soybean and nine Auxin Response Factors (ARFs) were identified as the TAS3 siRNA targets. The global identification of miRNAs targets would contribute to the functional research of the miRNA in soybean. one sample, We deep sequenced a degradome library constructed from different soybean tissues.
2011-11-02 | E-GEOD-33379 | biostudies-arrayexpress