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The availability of sample data, together with detailed environmental factors, has fueled a rapid increase in predictive modeling of species geographic distributions and environmental requirements. We founded that MaxEnt model has provided different descriptions of potential distributions based on different sample size, sample accuracy and environmental background. We used six combinations based on three sample data set and two kinds of environmental variables to estimate the potentially suitable areas of Brown Eared Pheasant (Crossoptilon mantchuricum) in MaxEnt model. The results show that the complex variables provided the higher AUC value and accurate potential distribution than simple variables based on the same size of samples. Complicated environmental factors combined with moderate size and accurate sample, can predict better results. The model results were scabrous based on simple environmental factors. Furthermore, big sample size and simple prediction environmental factors will reduce the prediction accuracy, whereas small samples provided a conservative description of ecological niche. Here, we highlighted that considering the big size and high accuracy of sample and many environmental factors of a species to minimize error when attempting to infer potential distributions from current data in MaxEnt model.
Topping, the critical cultural practice, is a kind of damage occurred tobacco shoot, which can obviously promote roots growth. Up to now, the mechanism regulating roots growth after topping is still unclear. In our previous works, miR171d was identified as a major topping responsive miRNA in tobacco roots, and its target gene was predicted to belong to the GRAS gene family. In the present study, NtGRAS-R1, a novel GRAS transcription regulator, was firstly cloned from tobacco roots. NtGRAS-R1 contained an open reading frame of 1527 bp encoding a 508-amino acids protein, and its molecular mass and isoelectric point was 56.199 KD and 5.24, respectively. GRAS proteins in tobacco can be grouped into nine subfamilies, including HAM, SCR, LAS, DLT, DELLA, SCL, LISCL, SHR and PAT1. NtGRAS-R1 is highly homologous with NtGRAS44 and belongs to HAM subfamily. The expression of NtGRAS-R1 can be detected in tobacco roots, leaves and stems, and its expression level was highest in tobacco roots. The analysis of transgenic tobacco showed that NtGRAS-R1 was involved in several biology processes, such as rooting, germination and root development, which will be helpful to explore the roles of NtGRAS-R1 in response to tobacco topping.
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