Panicum capillare strain:Bridger ecotype | cultivar:Bridger ecotype
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ABSTRACT:
PROVIDER: PRJNA337379 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:Panicum capillare, Norris ecotype genome sequencing
| PRJNA337390 | ENA
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 Panicum virgatum tissues (including leaves, drought-treated leaves and flowers). The high depth of the resulting datasets enabled us to examine in detail critical small RNA features 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 maize genome under study. Small RNA libraries were derived from leaves, drought-treated leaves and flowers of Panicum virgatum. Total RNA was isolated using the Plant RNA Purification Reagent (Invitrogen), 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 Pamela Green for providing the plant material as well as Kan Nobuta and Gayathri Mahalingam for assistance with the computational methods.
2011-05-09 | E-GEOD-28980 | 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 Panicum virgatum tissues (including leaves, drought-treated leaves and flowers). The high depth of the resulting datasets enabled us to examine in detail critical small RNA features 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 maize genome under study.
2011-05-10 | GSE28980 | GEO
Project description:Comparison of TopHat alignments and assessment of spurious splice junctions for 32nt and 76nt read lengths. Total RNA from 2-week-old Arabidopsis thaliana (ecotype Columbia) seedlings grown on MS plates was isolated using RNeasy Plant Mini Kit from Qiagen. To remove any contaminating DNA, RNA was treated with DNAse. Isolation of poly (A) mRNA and preparation of cDNA library were carried out using the Illumina TrueSeq RNA kit. Sequencing (72 cycle) was done on Illumina Genome Analyzer II.
2011-09-24 | GSE32318 | GEO
Project description:Phyllostachys edulis cultivar:ecotype Raw sequence reads
| PRJNA554957 | ENA
Project description:Actinia tenebrosa breed:rec ecotype Genome sequencing
| PRJNA489329 | ENA
Project description:Comparison of TopHat alignments and assessment of spurious splice junctions for 32nt and 76nt read lengths. Total RNA from 2-week-old Arabidopsis thaliana (ecotype Columbia) seedlings grown on MS plates was isolated using RNeasy Plant Mini Kit from Qiagen. To remove any contaminating DNA, RNA was treated with DNAse. Isolation of poly (A) mRNA and preparation of cDNA library were carried out using the Illumina TrueSeq RNA kit. Sequencing (72 cycle) was done on Illumina Genome Analyzer II. 2 replicates
2011-09-24 | E-GEOD-32318 | biostudies-arrayexpress
Project description:Cereal aphids can successfully colonize and damage switchgrass (Panicum virgatum) plants. Among the aphids tested, greenbugs (Schizaphis graminum, GB) caused significant plant damage likely through a combination of aphid-salivary proteins that are injected into plants during feeding and a strong host response elicited by herbivory. In this study, changes in protein phosphorylation present in GB-infested and uninfested control plants was determined. These data were compared against transcriptome changes recently published for this system.
2022-02-04 | PXD018546 | Pride
Project description:The evolution of locally adapted ecotypes is a common phenomenon that generates diversity within plant species. However, we know surprisingly little about the genetic mechanisms underlying the locally adapted traits involved in ecotype formation. The genetic architecture underlying locally adapted traits dictates how an organism will respond to environmental selection pressures, and has major implications for evolutionary ecology, conservation, and crop breeding. To understand the genetic architecture underlying the divergence of switchgrass (Panicum virgatum) ecotypes, we constructed a genetic mapping population through a four-way outbred cross between two northern upland and two southern lowland accessions. Trait segregation in this mapping population was largely consistent with multiple independent loci controlling the suite of traits that characterizes ecotype divergence. We assembled a joint linkage map using ddRADseq, and mapped quantitative trait loci (QTL) for traits that are divergent between ecotypes, including flowering time, plant size, physiological processes, and disease resistance. Overall, we found that most QTL had small to intermediate effects. While we identified colocalizing QTL for multiple traits, we did not find any large-effect QTL that clearly controlled multiple traits through pleiotropy or tight physical linkage. These results indicate that ecologically important traits in switchgrass have a complex genetic basis, and that similar loci may underlie divergence across the geographic range of the ecotypes.
| S-EPMC5100855 | biostudies-literature
Project description:Eutrema halophilum strain:Ecotype Shandong Transcriptome or Gene expression
| PRJNA159239 | ENA