Plant tissues usually contain high levels of proteases and secondary metabolites that severely interfere with protein extraction, separation, and identification. Preparation of high-quality protein samples from plant tissues for proteomic analysis represents a great challenge. This article briefly describes the critical points in protein separation, especially secondary metabolites in plant tissues, and removal strategy. It provides an updated overview of three total protein extraction methods and their applications in proteomic analysis of various recalcitrant tissues.
To identify specific proteins related to maize seed viability, seeds of Zhengdan 958 (one of the highyield maize hybrids in China) were sorted based on viability evaluation with triphenyltetrazolium chloride (TTC) assay and used for comparative proteomic analysis. After TTC staining, embryos of high-viability seeds were deep red (R type), while embryos of dead seeds were white (W type). Proteomic analysis revealed that 28 protein spots identified were differently expressed significantly between R and W embryos, of which 20 were up-regulated and 8 down-regulated in R embryos. Among them were proteins involved in stress response, protein folding, and stabilization, as wells as proteins related to nutrient reservoir and metabolism. Prominently, small heat shock proteins, late embryogenesis abundant (LEA) proteins, and antioxidant enzymes were highly up-regulated, while two proteases were highly down-regulated in R embryos compared to W embryos. One of LEA proteins was EMB564, which declined in abundance during artificial aging of seeds. Our results suggested an association of EMB564 with maize seed viability. It would be of interest to use these small proteins to develop quick tests for seed quality.
Soil contains low amounts of protein but high amounts of interfering substances. Current extraction methods for soil protein cannot produce high-quality samples suitable for proteomic analysis. To resolve the problem, we devised a sequential extraction method, through sequentially extracting soil in citrate and SDS buffers, followed by phenol extraction. The method allows for obtaining applicable 1-D and 2-D protein profiles with various agricultural soils and detecting glomalin-related soil protein. The method may be a valuable tool for soil proteomics.
MicroRNAs (miRNAs) are a newly identified class of non-coding small RNAs of about 21-24 nucleotides. They play important roles in multiple biological processes by degrading targeted mRNAs or repressing mRNA translation. To date, a total of 2,043 plant miRNAs are present in the miRNA Registry database (miRBase Release 14.0), and none for tobacco (Nicotiana tabacum). In this research, we used known plant miRNAs against both genomic survey sequence (GSS) and expressed sequence tags (EST) databases to search for potential miRNAs in tobacco. A total of 25 potential miRNAs were identified following a range of strict filtering criteria, and 33 potential targets of miRNAs were predicted by searching the tobacco Unigene database. Most of these miRNA targeting genes were predicted to encode transcription factors which play important roles in tobacco development. Additionally, real-time PCR assays were performed to profile the expression levels of 10 miRNAs after the infection of Cucumber mosaic virus (CMV) and Potato virus X (PVX). The results showed that symptom severity is correlated to the miRNA accumulation, and increased miR168 expression during virus infection is a common, plant- and virus-independent response.
A real-time RT-PCR procedure using the green fluorescent dye SYBR Green I was developed for determining the absolute and relative copies of cucumber mosaic virus (CMV) genomic RNAs contained in purified virions. Primers specific to each CMV ORF were designed and selected. Sequences were then amplified with length varying from 61 to 153 bp. Using dilution series of CMV genome RNAs prepared by in vitro transcription as the standard samples, a good linear correlation was observed between their threshold cycle (Ct) values and the logarithms of the initial template amounts. The copies of genomic RNA 1, RNA 2, RNA 3 and the subgenomic RNA 4 in CMV virions were quantified by this method, and the ratios were about 1.00:1.17:3.58:5.81. These results were confirmed by Lab-on-a-chip and northern blot hybridization assays. Our work is the first report concerning the relative amounts of different RNA fragments in CMV virions as a virus with tripartite genome.
A multiplex reverse-transcription polymerase chain reaction (RT-PCR) protocol was developed for simultaneous detection and discrimination of subgroups of Cucumber mosaic virus (CMV), including its satellite RNA, Tomato mosaic virus (ToMV) and Tobacco mosaic virus (TMV), using 18S rRNA as an internal control. Species-and subgroups-specific primers designed to differentiate CMV subgroups I and II, ToMV and TMV, were assessed using the cDNA clones of viral genomes, CMV satellite RNA and 18S rRNA gene from tomato (Solanum lycopersicum L.) or tobacco (Nicotiana tobacum). Using total RNA extracted from artificial mixture of tomato leaf tissues infected by each virus, the reaction components and cycling parameters were optimized and a multiplex RT-PCR procedure was established. Six fragments of 704, 593, 512, 421, 385, 255 bp, specific to CMV subgroup II, CMV subgroup I, ToMV, TMV, satellite RNA and 18S rRNA, respectively, were simultaneously amplified. The sensitivity of the multiplex RT-PCR method for detecting CMV was 100 times higher than that of double-antibody sandwich-enzymelinked immunosorbent assay (DAS-ELISA). This method was successfully used for field detection. Among 141 samples collected from East China through tomato growth seasons, 106 single infections with one of the above isolates were detected and 13 mixed infections were found. The results showed the potential use of this method for investigating the epidemiology of viral diseases infecting tomato.
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