Dataset Information

Comparative phyloproteomics identifies conserved plasmodesmal proteins

ABSTRACT: Plasmodesmata are cytosolic bridges, lined by the plasma membrane and traversed by endoplasmic reticulum, connecting cells and tissues, and critical for many aspects of plant biology. While plasmodesmata are notoriously difficult to extract, tissue fractionation and proteomic analyses can yield valuable knowledge of their composition. Here we have generated two novel proteomes to expand tissue and taxonomic representation of plasmodesmata: one from mature Arabidopsis leaves and one from the moss Physcomitrium patens and leveraged these and existing data to perform a comparative analysis to identify evolutionarily conserved protein families that are associated with plasmodesmata. Thus, we identified b-1,3-glucanases, C2 lipid-binding proteins and tetraspanins as core plasmodesmal components that likely serve as essential structural or functional components. Our approach has not only identified elements of a conserved plasmodesmal proteome, but also demonstrated the added power offered by comparative analysis for recalcitrant samples. Conserved plasmodesmal proteins establish a basis upon which ancient plasmodesmal function can be further investigated to determine the essential roles these structures play in multicellular organism physiology in the green lineages.

INSTRUMENT(S): Q Exactive

ORGANISM(S): Physcomitrella Patens Subsp. Patens (moss) Arabidopsis Thaliana (mouse-ear Cress)

TISSUE(S): Plant Cell, Photosynthetic Cell, Leaf, Protonema, Gametophore

SUBMITTER: Matthew Johnston

LAB HEAD: Christine Faulkner

PROVIDER: PXD038964 | Pride | 2023-01-13

REPOSITORIES: Pride

ACCESS DATA

Dataset's files

Source:

Items per page:

1 - 5 of 21

Similar Datasets

Project description:Endogenous 24nt short interfering RNAs (siRNAs) derived mostly from intergenic and repetitive genomic regions constitute a major class of endogenous small RNAs in Arabidopsis thaliana. Accumulation of A. thaliana 24nt siRNAs requires the Dicer family member DCL3, and clear homologs of DCL3 exist in both flowering and non-flowering plants. However, the absence of a conspicuous 24nt peak in the total RNA populations of several non-flowering plants has raised the question of whether this class of siRNAs might, in contrast to the ancient 21nt microRNAs (miRNAs) and 21-22nt trans-acting siRNAs (tasiRNAs), be an angiosperm-specific innovation. Analysis of non-miRNA, non-tasiRNA hotspots of small RNA production within the genome of the moss Physcomitrella patens revealed multiple loci which consistently produced a mixture of 21-24nt siRNAs with a peak at 23nts. These Pp23SR loci were significantly enriched in transposon content, depleted in overlap with annotated genes, and typified by dense concentrations of the 5-methyl cytosine (5mC) DNA modification. Deep sequencing of small RNAs from two independent Ppdcl3 mutants showed that the P. patens DCL3 homolog is required for the accumulation of 22-24nt siRNAs, but not 21nt siRNAs, at Pp23SR loci. The 21nt component of Pp23SR-derived siRNAs was also unaffected by a mutation in the RNA-dependent RNA polymerase mutant Pprdr6. Transcriptome-wide, Ppdcl3 mutants specifically failed to accumulate 23 and 24nt small RNAs from repetitive regions. We conclude that intergenic/repeat-derived siRNAs are indeed a broadly conserved, distinct class of small regulatory RNAs within land plants. Our results also suggest that Pp DCL3 produces siRNAs of heterogenous size, unlike its A. thaliana homolog which generates exclusively 24nt siRNAs. Small RNAs from Wild-type (two technical replicates), rdr6-19 (two technical replicates), dcl3-5 (one sample), and dcl3-10 (one sample) were sequenced using a Solexa GA. Three different linkers were used for different samples and mixed prior to sequencing. linker 1: CTGTAGGCACCATCAAT (GPL7174 AND GSM313212, GSM313213) linker 2: CACTCGGGCACCAAGGA (GPL7175 AND GSM313214, GSM313215) linker 3: TTTAACCGCGAATTCCAG (GPL7176 AND GSM313216, GSM313217) Raw data: Two FASTQ files represent the raw data underlying the processed sample data in GSE12468. 080616_s_7_seq_GAK-2.fastq corresponds to GSM313212, GSM313214, and GSM313216. 080616_s_8_seq_GAK-3.fastq corresponds to GSM313213, GSM313215, and GSM313217. Experimentally, samples GSM313212, GSM313214, and GSM313216 (i.e., all three genotypes) were sequenced in the same run (hence the same FASTQ file). The sequencing run was a mixture of three different libraries with different linker sequences (as indicated above). These 'barcoded' samples were computationally extracted based on the linker sequences. This is also true for samples GSM313213, GSM313215, and GSM313217. Raw data were filtered to identify small RNAs associated with each linker. Subsequently, small RNAs were filtered to remove rRNA fragments. The remainder were mapped to the Physcomitrella patens draft genome version 1.2 (using oligomap) and filtered to retain only those with one or more perfect match. See Cho et al. for details.

Project description:Alfalfa, [Medicago sativa (L.) sativa], a widely-grown perennial forage has potential for development as a cellulosic ethanol feedstock. The application of genomic approaches would advance development of alfalfa as a cellulosic feedstock. However, the genomics of alfalfa, a non-model species, is still in its infancy. The recent advent of RNA-Seq, a massively parallel sequencing method for transcriptome analysis, provides an opportunity to expand the identification of alfalfa genes and polymorphisms, and conduct in-depth transcript profiling. Cell walls in stems of alfalfa genotype 708 have higher cellulose and lower lignin concentrations compared to cell walls in stems of genotype 773. Using the Illumina GA-II platform, a total of 198,861,304 expression sequence tags (ESTs, 76 bp in length) were generated from cDNA libraries derived from elongating stem (ES) and post-elongation stem (PES) internodes of 708 and 773. These ESTs were de novo assembled into 132,153 unique sequences. By combining the de novo assembled ESTs (132,153 sequences) with our previously identified EST sequences (341,984 sequences, unpublished data), and the ESTs available from GenBank (12,371 sequences), we built the first Alfalfa Gene Index (MSGI 1.0). MSGI 1.0 contains 124,025 unique sequences including 22,729 tentative consensus sequences (TCs), 22,315 singletons and 78,981 pseudo-singletons. We identified a total of 1, 294 simple sequence repeats (SSR) among the sequences in MSGI 1.0. In addition, a total of 10,826 single nucleotide polymorphisms (SNPs) were predicted between the two genotypes. Transcript profiling of stem internodes of genotypes 708 and 773 was conducted by quantifying the number of Illumina EST reads that were mapped to sequences in MSGI 1.0. We identified numerous candidate genes that may play a role in stem development as well as candidate genes that may contribute to the differences in cell wall composition in stems of the two genotypes. Our results demonstrate that RNA-Seq can be successfully used for gene identification, polymorphism detection and transcript profiling in alfalfa, a non-model, allogamous, autotetraploid species. The alfalfa gene index (MSGI 1.0) assembled in this study, and the SNPs, SSRs and candidate genes identified can be used to improve alfalfa as a cellulosic feedstock. Examination of 2 different tissue types at different developmental stages (Elongating vs. post-elongation stem internodes) in two alfalfa genotypes (708 and 773) with divergent cell wall composition in stems.

			Action	DRS
	F005710.dat	Other
	F005711.dat	Other
	F005712.dat	Other
	F005715.dat	Other
	F005716.dat	Other

Dataset Information

Comparative phyloproteomics identifies conserved plasmodesmal proteins

Dataset's files

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets