Molecular characterization, expression analysis and heterologous expression of two translationally controlled tumor protein genes from Cucumis sativus

An optimized protocol for stepwise optimization of real-time RT-PCR analysis

Computational tool-assisted primer design for real-time reverse transcription (RT) PCR (qPCR) analysis largely ignores the sequence similarities between sequences of homologous genes in a plant genome. It can lead to false confidence in the quality of the designed primers, which sometimes results in skipping the optimization steps for qPCR. However, the optimization of qPCR parameters plays an essential role in the efficiency, specificity, and sensitivity of each gene's primers. Here, we proposed an optimized approach to sequentially optimizing primer sequences, annealing temperatures, primer concentrations, and cDNA concentration range for each reference (and target) gene. Our approach started with a sequence-specific primer design that should be based on the single-nucleotide polymorphisms (SNPs) present in all the homologous sequences for each of the reference (and target) genes under study. By combining the efficiency calibrated and standard curve methods with the 2^-ΔΔCt method, the standard cDNA concentration curve with a logarithmic scale was obtained for each primer pair for each gene. As a result, an R² ≥ 0.9999 and the efficiency (E) = 100 ± 5% should be achieved for the best primer pair of each gene, which serve as the prerequisite for using the 2^-ΔΔCt method for data analysis. We applied our newly developed approach to identify the best reference genes in different tissues and at various inflorescence developmental stages of Tripidium ravennae, an ornamental and biomass grass, and validated their utility under varying abiotic stress conditions. We also applied this approach to test the expression stability of six reference genes in soybean under biotic stress treatment with Xanthomonas axonopodis pv. glycines (Xag). Thus, these case studies demonstrated the effectiveness of our optimized protocol for qPCR analysis.

iTRAQ-based quantitative proteomic analysis reveals NtGNL1-dependent regulatory network underlying endosome trafficking for pollen tube polar growth

Endosome trafficking has been reported to play an essential role in pollen tube polar growth and NtGNL1 (Nicotiana tabacum GNOM-LIKE 1) regulates the polar growth through endosome trafficking. However, the regulation network and detailed molecular mechanisms underlying endosome trafficking remain unclear. Here, comparative proteomic analysis was carried out to survey the overall effect of NtGNL1 on pollen tube polar growth and NtGNL1-dependent endosome trafficking. With multiple comparative systems (RNAi, Wild type, and BFA or wortmannin treatments), 481 distinct proteins were identified including 43 common DEPs (differentially expressed proteins), of which 16 significant DEPs were common among RNAi, BFA, and wortmannin treated pollen tubes, indicating their close relation to the endosome trafficking. GO annotation indicates that the vesicle trafficking of gnl1HE pollen tubes differs from that of the BFA and wortmannin treated pollen tubes in the COPII-coated vesicle budding process. KEGG pathway analysis suggests that the Pentose phosphate pathway is critical for the NtGNL1-dependent endosome trafficking. Yeast two-hybrid further confirmed that the NtGNL1-Sec7 domain interacted strongly with VPS32.2, TCTP, PIS2, and PDIL2-1, suggesting that the core functional region of NtGNL1 is the Sec7 domain. Therefore, NtGNL1 likely functions via its Sec7 binding with these proteins to affect endosome trafficking. Our results provide a clear outline of proteins involving in NtGNL1-dependent endosome trafficking and valuable clues for understanding the regulatory mechanism of NtGNL1 guided pollen tube polar growth.

The Two Translationally Controlled Tumor Protein Genes, CsTCTP1 and CsTCTP2, Are Negative Modulators in the Cucumis sativus Defense Response to Sphaerotheca fuliginea

Pathogen stress often significantly decreases cucumber production. However, knowledge regarding the molecular mechanism and signals of cucumber disease resistance is far from complete. Here, we report two translationally controlled tumor protein genes, CsTCTP1 and CsTCTP2, that are both negative modulators in the Cucumis sativus defense response to Sphaerotheca fuliginea. Subcellular localization analysis showed that CsTCTP1 and CsTCTP2 were both localized in the cytoplasm. Expression analysis indicated that the transcript levels of CsTCTP1 and CsTCTP2 were linked to the degree of cucumber resistance to S. fuliginea. Transient overexpression of either CsTCTP1 or CsTCTP2 in cucumber cotyledons impaired resistance to S. fuliginea, whereas silencing of either CsTCTP1 or CsTCTP2 enhanced cucumber resistance to S. fuliginea. The relationship of several defense-related genes and ABA and target of rapamycin (TOR) signaling pathway-related genes to the overexpressing and silencing of CsTCTP1/CsTCTP2 in non-infested cucumber plants was investigated. The results indicated that CsTCTP1 participates in the defense response to S. fuliginea by regulating the expression of certain defense-associated genes and/or ABA signaling pathway-associated genes, and CsTCTP2 participates through regulating the expression of TOR signaling pathway-associated genes. Our findings will guide enhancing the resistance of cucumber to powdery mildew.