An evaluation of transferability of ecological niche models

Ecological niche modeling (ENM) is used widely to study species’ geographic distributions. ENM applications frequently involve transferring models calibrated with environmental data from one region to other regions or times that may include novel environmental conditions. When novel conditions are present, transferability implies extrapolation, whereas, in absence of such conditions, transferability is an interpolation step only. We evaluated transferability of models produced using 11 ENM algorithms from the perspective of interpolation and extrapolation in a virtual species framework. We defined fundamental niches and potential distributions of 16 virtual species distributed across Eurasia. To simulate real situations of incomplete understanding of species’ distribution or existing fundamental niche (environmental conditions suitable for the species contained in the study area; N* _F ), we divided Eurasia into six regions and used 1–5 regions for model calibration and the rest for model evaluation. The models produced with the 11 ENM algorithms were evaluated in environmental space, to complement the traditional geographic evaluation of models. None of the algorithms accurately estimated the existing fundamental niche (N* _F ) given one region in calibration, and model evaluation scores decreased as the novelty of the environments in the evaluation regions increased. Thus, we recommend quantifying environmental similarity between calibration and transfer regions prior to model transfer, providing an avenue for assessing uncertainty of model transferability. Different algorithms had different sensitivity to completeness of knowledge of N* _F , with implications for algorithm selection. If the goal is to reconstruct fundamental niches, users should choose algorithms with limited extrapolation when N* _F is well known, or choose algorithms with increased extrapolation when N* _F is poorly known. Our assessment can inform applications of ecological niche modeling transference to anticipate species invasions into novel areas, disease emergence in new regions, and forecasts of species distributions under future climate conditions.     

Correction to: Effects of Exogenous Spermidine and Elevated CO2 on Physiological and Biochemical Changes in Tomato Plants Under Iso-osmotic Salt Stress

Journal of Plant Growth Regulation - The original version of this article unfortunately contained errors in two authors' names. The given and family names of the authors were incorrectly...     

MMP-11 promotes papillary thyroid cell proliferation and invasion via the NF-κB pathway

Papillary thyroid carcinoma (PTC) is the most common form of thyroid cancer, and its incidence is on the rise. It has been reported that some matrix metalloproteinases (MMPs) are abnormally expressed in PTC and can be used as diagnostic markers. However, few studies have explored the underlying mechanisms by which MMPs promote tumor progression. In this study, we used microarray analysis to compare the variations of gene expression within the PTC cell populations and their adjacent normal tissues and found that MMP-11 was the most differentially expressed MMP. To investigate the role of MMP-11 in the mediation of thyroid cancer cell development, pEnter-MMP-11 plasmid, and MMP-11 small interfering RNA were applied to up- and downregulate MMP-11 expression of in cultured PTC cell lines K1 and BCPAP. The results suggested that the levels of proliferation and migration of cells transfected with MMP-11 siRNA were significantly reduced, while the levels in MMP-11-plasmid-transfected cells were increased. In terms of the mechanism, experimental data showed that the change in cyclin D1 is consistent with MMP-11 expression, which may explain the changes in proliferation. In addition, Western blot assay was conducted to analyze the p65 and activated (phospho-) p65 protein levels concomitant with MMP-11 adjustments. Variations in intracellular MMP-11 significantly altered the amount of phospho-p65 in thyroid cells, while p65 knockdown did not affect MMP-11 expression. These results suggest that MMP-11 is located upstream of p65 and regulates its activity. Interestingly, the data for the Transwell assay suggested that MMP-11 regulatory migration is also associated with the NF-κB p65 signaling pathway. In conclusion, this report describes the important role of MMP-11 in the regulation of thyroid cell proliferation and migration. Mechanistic studies have shown that cyclin D1 and p65 are important mediators in the processes, which provides a new way to study the mechanism of MMPs promoting the progression of thyroid cancer.     

Wnt7a,frequently silenced by CpG methylation,inhibits tumor growth and metastasis via suppressing epithelial-mesenchymal transition in gastric cancer

Wnt7a is a member of the Wnt family and has been reported to be involved in the carcinogenesis and progression of many types of human cancer. However, little is known about Wnt7a expression and function in gastric cancer (GC). In the present study, Wnt7a expression in GC tissues and cells was investigated, the correlation between Wnt7a expression and the prognosis was also examined. The effects of Wnt7a on proliferation, invasion, and metastasis were evaluated in vitro and in vivo. Furthermore, the expression of epithelial-mesenchymal transition (EMT) markers and hypermethylation of the Wnt7a promoter were both detected. Wnt7a was downregulated in GC and its expression was associated with poor prognosis of patients with GC. Moreover, upregulation of Wnt7a significantly suppressed the growth, invasion, and metastasis abilities of GC cells in vitro and in vivo. Mechanistically, Wnt7a was found to inhibit EMT process of GC cells. In addition, the reducing expression of Wnt7a was due to methylation of 5′-CpG island within the promoter. Furthermore, the tumor suppressor role of Wnt7a is independent of canonical Wnt/β-catenin signaling in GC cells. In conclusion, our findings demonstrated that Wnt7a could be used as a potential diagnostic marker and target for GC management.