Lactuca sativa
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA478460 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR12533162.fastq.gz | Fastqsanger.gz | |||
| SRR12533163_1.fastq.gz | Fastqsanger.gz | |||
| SRR12533163_2.fastq.gz | Fastqsanger.gz | |||
| SRR8736660_1.fastq.gz | Fastqsanger.gz | |||
| SRR8736660_2.fastq.gz | Fastqsanger.gz |
Items per page: 5 1 - 5 of 177 |
Similar Datasets
Project description:Lactuca sativa phenotypic variation and genetic diversity
| PRJNA478460 | ENA
Project description:Lactuca (wild lettuce) phenotypic variation and genetic diversity
| PRJNA510128 | ENA
Project description:The small RNAs and their targets were characterized in lettuce (Lactuca sativa) genome by deep sequencing the small RNA populations of leaf tissues (cv. Salinas, Cobham and Diana), inoculated with Bremia and mock. The small RNA targets were also validated using PARE/degradome data derived from the same tissues.
2017-04-13 | GSE84280 | GEO
Project description:To understand the role of WRKY10 transcription factor in foliar pigmentation patterns in Marchantia (liverwort) and assess the conservation of its regulatory network in Lactuca sativa var. Redfire(angiosperm).
2024-06-11 | GSE238167 | GEO
Project description:Bolting is a key process in the growth and development of lettuce (Lactuca sativa L.). High temperature can induce earlier bolting which decreases in both quality and production of lettuce. However, knowledge underlying lettuce bolting is still lacking. To better understand the molecular basis of bolting, a comparative proteomics analysis was conducted on lettuce stems in the bolting period induced by high temperature (33 °C) compared with a control (20 °C) using iTRAQ-based proteomics, phenotypic measures, and biological verifications. High temperature induced lettuce bolting, while control temperature did not. Of the 6656 proteins identified, 758 proteins significantly altered their expression level induced by high-temperature relative to the control, of which 409 were up-regulated and 349 down-regulated. Proteins with abundance level change were mainly involved in photosynthesis, carbohydrate metabolism, stress response, hormone synthesis, and signal transduction. These differential proteins were mainly enriched in pathways associated with photosynthesis and tryptophan metabolism involving in auxin (IAA) biosynthesis. Among the differentially expressed proteins associated with photosynthesis and tryptophan metabolism were up-regulated. Moreover, in gibberellin (GA) biosynthesis pathway, 10 of main enzymes of P450 were up-regulated. Proteins related to SAUR and GRP, implicated in IAA and GA signal transduction were up-regulated, and the phosphorylation and ubiquitination related proteins regulating IAA and GA signal transduction were also induced. These findings indicate that a high temperature enhances the function of photosynthesis, IAA and GA synthesis and signal transduction to promote the process of bolting, which is in line with the physiology and transcription levels of IAA and GA metabolism. Our data provide a first comprehensive dataset for gaining novel understanding of the molecular basis underlying lettuce bolting induced by high temperature. It is potentially important for further functional analysis and genetic manipulation for molecular breeding to breed new cultivar of lettuce to restrain early bolting, which is vital for improving vegetable quality.
2019-11-12 | PXD008610 | Pride
Project description:Small RNAs (21-24 nt) are pivotal regulators of gene expression that guide both transcriptional and post-transcriptional silencing mechanisms in diverse eukaryotes, including most if not all plants. MicroRNAs (miRNAs) and short interfering RNAs (siRNAs) are the two major types, both of which have a demonstrated and important role in plant development, stress responses and pathogen resistance. In this work, we used a deep sequencing approach (Sequencing-By-Synthesis, or SBS) to develop sequence resources of small RNAs from different Lactuca sativa tissues (including leaves, flowers, and fungus-infected leaves). The high depth of the resulting datasets enabled us to examine in detail critical small RNA features such as size distribution, tissue-specific regulation and sequence conservation between different organs in this species. We also developed database resources and a dedicated website (http://smallrna.udel.edu/) with computational tools for allowing other users to identify new miRNAs or siRNAs involved in specific regulatory pathways, verify the degree of conservation of these sequences in other plant species and map small RNAs on genes or larger regions of the genome under study. Small RNA libraries were derived from leaves and flowers of Lactuca sativa, cultivar Salinas, including leaves infected with the fungus Bremia lactucae, strain CA-III. Total RNA was isolated using TriReagent® (Molecular Research Center) and submitted to Illumina (Hayward, CA, http://www.illumina.com) for small RNA library construction using approaches described in (Lu et al., 2007) with minor modifications. The small RNA libraries were sequenced with the Sequencing-By-Synthesis (SBS) technology by Illumina. PERL scripts were designed to remove the adapter sequences and determine the abundance of each distinct small RNA. We thank Richard Michelmore and Oswaldo Ochoa for providing the plant material as well as Kan Nobuta for assistance with the computational methods.
2011-04-29 | E-GEOD-28322 | biostudies-arrayexpress
Project description:Small RNAs (21-24 nt) are pivotal regulators of gene expression that guide both transcriptional and post-transcriptional silencing mechanisms in diverse eukaryotes, including most if not all plants. MicroRNAs (miRNAs) and short interfering RNAs (siRNAs) are the two major types, both of which have a demonstrated and important role in plant development, stress responses and pathogen resistance. In this work, we used a deep sequencing approach (Sequencing-By-Synthesis, or SBS) to develop sequence resources of small RNAs from different Lactuca sativa tissues (including leaves, flowers, and fungus-infected leaves). The high depth of the resulting datasets enabled us to examine in detail critical small RNA features such as size distribution, tissue-specific regulation and sequence conservation between different organs in this species. We also developed database resources and a dedicated website (http://smallrna.udel.edu/) with computational tools for allowing other users to identify new miRNAs or siRNAs involved in specific regulatory pathways, verify the degree of conservation of these sequences in other plant species and map small RNAs on genes or larger regions of the genome under study.
2011-04-30 | GSE28322 | GEO