Members of the HSP70 family function as molecular chaperones to maintain cellular homeostasis and help plants cope with environmental stimuli. However, due to functional redundancy and lack of effective chemical inhibitors, our knowledge of functions of individual HSP70s has remained limited. Here, we confirmed a subclass of HSP70s, including HSP70-1, -2, -3, -4, and -5, localized to the cytosol and nucleus in Arabidopsis thaliana. Histochemical analyses of promoter:GUS reporter lines showed that HSP70-1, -2, -3, and -4 genes were widely expressed, but HSP70-5 was not. In addition, individual HSP70 showed not only similar but also distinct transcriptions when treated by different abiotic stresses and phytohormones. No apparent phenotype was observed when individual HSP70 genes were overexpressed or knocked-out/down, but the double mutant hsp70-1 hsp70-4 and triple mutant hsp70-2 hsp70-4 hsp70-5 plants exhibited developmental phenotypes with shortened specific growth periods, curly and round leaves, twisted petioles, thin stems, and short siliques. Moreover, both mutants were hypersensitive to heat, cold, high glucose, salt and osmotic stress, but hyposensitive to abscisic acid. Genes related to flowering, and the cytokinin, brassinosteroid, and abscisic acid signaling pathways were differentially expressed in both mutants. Our studies suggest that, the individual HSP70 possibly performs both redundant and specific functions with the other members in the cytosolic/nuclear HSP70 subclass, and apart from enabling plants to cope with abiotic stresses, this subclass of cytosolic/nuclear HSP70 proteins also participates in diverse developmental processes and signaling pathways.
The high-density consensus map was constructed based on the GY14 × PI 183967 map from an inter-subspecific cross and the extended S94 × S06 map from an intra-subspecific cross. The consensus map was composed of 1,369 loci, including 1,152 SSR loci, 192 SRAP loci, 21 SCAR loci and one STS locus as well as three gene loci of fruit external quality traits in seven chromosomes, and spanned 700.5 cM, of which 682.7 cM (97.5%) were covered by SSR markers. The average genetic distance and physical interval between loci were 0.51 cM and ~268 kbp, respectively. Additionally, the physical position of the sequence-associated markers aligned along the assembled cucumber genome sequence established a relationship between genetic maps and cucumber genome sequence and to a great extent validated the order of markers in individual maps and consensus map. This consensus map with a high marker density and well-ordered markers is a saturated and reliable linkage map for genetic analysis of cucumber or the Cucurbitaceae family of plants.
Purpose: The purpose of this paper is to develop a combined model composed of grey-forecast model and Logistic-growth-curve model to improve the accuracy of forecast model of cargo throughput for the port. The authors also use the existing data of a current port to verify the validity of the combined model. Design/methodology/approach: A literature review is undertaken to find the appropriate forecast model of cargo throughput for the port. Through researching the related forecast model, the authors put together the individual models which are significant to study further. Finally, the authors combine two individual models (grey-forecast model and Logistic-growth-curve model) into one combined model to forecast the port cargo throughput, and use the model to a physical port in China to testify the validity of the model. Findings: Test by the perceptional data of cargo throughput in the physical port, the results show that the combined model can obtain relatively higher forecast accuracy when it is not easy to find more information. Furthermore, the forecast made by the combined model are more accurate than any of the individual ones. Research limitations/implications: The study provided a new combined forecast model of cargo throughput with a relatively less information to improve the accuracy rate of the forecast. The limitation of the model is that it requires the cargo throughput of the port have an S-shaped change trend. Practical implications: This model is not limited by external conditions such as geographical, cultural. This model predicted the port cargo throughput of one real port in China in 2015, which provided some instructive guidance for the port development. Originality/value: This is the one of the study to improve the accuracy rate of the cargo throughput forecast with little information.
Inflammatory cytokines commonly initiate extreme changes in the synovium and cartilage microenvironment of osteoarthritis ( OA ) patients, which subsequently cause cellular dysfunction, especially in chondrocytes. It has been reported that induction of the purinergic P2X7 receptor (P2X7R) can regulate the expression of a variety of inflammatory factors, including interleukin ( IL )‐6 and ‐8, leading to OA pathogenesis. However, knowledge of the mechanism of upregulation of P2X7R in OA is still incomplete, and its role in chondrocyte proliferation is also not clear. It was reported previously that the expression of P2X7R was controlled by certain micro RNA s, and so we tested the expression of several micro RNA s and found that microRNA‐373 (miR‐373) was downregulated in the chondrocytes from OA patients. Regarding the mechanism of action, miR‐373 inhibited chondrocyte proliferation by suppressing the expression of P2X7R, as well as inflammatory factors such as IL ‐6 and IL ‐8. Furthermore, the proliferative and pro‐inflammatory effects of miR‐373 on the chondrocytes could be suppressed by a P2X7R antagonist, further suggesting that miR‐373 mediates chondrocyte proliferation and inflammation by targeting P2X7R. Generally, our results suggest a novel method for OA treatment by targeting the miR‐373–P2X7R pathway.
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