Despite the high economic and ecological importance of forests, our knowledge of the genomic evolution of trees under salt stress remains very limited. Here we report the genome sequence of the desert poplar, Populus euphratica, which exhibits high tolerance to salt stress. Its genome is very similar and collinear to that of the closely related mesophytic congener, P. trichocarpa. However, we find that several gene families likely to be involved in tolerance to salt stress contain significantly more gene copies within the P. euphratica lineage. Furthermore, genes showing evidence of positive selection are significantly enriched in functional categories related to salt stress. Some of these genes, and others within the same categories, are significantly upregulated under salt stress relative to their expression in another salt-sensitive poplar. Our results provide an important background for understanding tree adaptation to salt stress and facilitating the genetic improvement of cultivated poplars for saline soils.

Purpose To 1) describe textural features from diffusion-weighted images (DWI) and apparent diffusion coefficient (ADC) maps that can distinguish low-grade bladder cancer from high-grade one, and 2) propose a radiomics-based strategy for cancer grading using texture features. Materials and Methods 61 patients with bladder cancer (29 in high- and 32 in low-grade groups) were enrolled in this retrospective study. Histogram- and gray-level co-occurrence matrix (GLCM)-based radiomics features were extracted from cancerous volumes of interest (VOIs) on DWI and corresponding ADC maps of each patient acquired from 3.0T MR. Mann-Whitney U test was applied to select features with significant difference between low-and high-grade groups (p<0.05). Then support vector machine with recursive feature elimination (SVM-RFE) and classification strategy was adopted to find an optimal feature subset and then to establish a classification model for grading. Results A total 102 features were derived from each VOI and among them, 47 candidate features were selected, which showed significant inter-group difference (p<0.05). By the SVM-RFE method, an optimal feature subset including 22 features was further selected from candidate features. The SVM classifier using the optimal feature subset achieved the best performance in bladder cancer grading, with an area under the receiver operating characteristic curve, accuracy, sensitivity and specificity of 0.861, 82.9%, 78.4% and 87.1%, respectively. Conclusion Textural features from DWI and ADC maps can reflect the difference between low- and high-grade bladder cancer, especially those GLCM features from ADC maps. The proposed radiomics strategy using these features, combined with the SVM classifier, may better facilitate image-based bladder cancer grading preoperatively.

Populus euphratica is well-adapted to extreme desert environments and is an important model species for studying the effects of abiotic stresses on trees. Here we present the first deep transcriptomic analysis of this species. To maximize representation of conditional transcripts, mRNA was obtained from living tissues of desert-grown trees and two types of callus (salt-stressed and unstressed). De novo assembly generated 86,777 Unigenes using Solexa sequence data. These sequences covered 92% of previously reported P. euphratica expressed sequence tags (ESTs) and 90% of the TIGR poplar ESTs, and a total of 58,499 high-quality unique sequences were annotated by BLAST similarity searches against public databases. We found that 27% of the total Unigenes were differentially expressed (up- or down-regulated) in response to salt stress in P. euphratica callus. These differentially expressed genes are mainly involved in transport, transcription, cellular communication and metabolism. In addition, we found that numerous putative genes involved in ABA regulation and biosynthesis were also differentially regulated. This study represents the deepest transcriptomic and gene-annotation analysis of P. euphratica to date. The genetic knowledge acquired should be very useful for future studies of the molecular adaptation of this tree species to abiotic stress and facilitate genetic manipulation of other poplar species.

3D radiomic signatures derived from T2WI and its high-order derivative maps could reflect muscular invasiveness of bladder cancer, and the proposed strategy can be used to facilitate the preoperative prediction of muscular invasiveness in patients with bladder cancer.

Populus euphratica is a salt-tolerant tree species growing in semi-arid saline areas. A Na(+)/H(+) antiporter gene was successfully isolated from this species through RACE cloning, and named PeSOS1. The isolated cDNA was 3665 bp long and contained a 3438 bp open reading frame that was predicted to encode a 127-kDa protein with 12 hypothetical transmembrane domains in the N-terminal part and a long hydrophilic cytoplasmic tail in the C-terminal part. The amino acid sequence of this PeSOS1 gene showed 64% identity with the previously isolated SOS1 gene from the glycophyte Arabidopsis thaliana. The level of protein expressed by PeSOS1 in the leaves of P. euphratica was significantly up-regulated in the presence of high (200 mM) concentrations of NaCl, while the mRNA level in the leaves remained relatively constant. Immunoanalysis suggested that the protein encoded by PeSOS1 is localized in the plasma membrane. Expression of PeSOS1 partially suppressed the salt sensitive phenotypes of the EP432 bacterial strain, which lacks the activity of the two Na(+)/H(+) antiporters EcNhaA and EcNhaB. These results suggest that PeSOS1 may play an essential role in the salt tolerance of P. euphratica and may be useful for improving salt tolerance in other tree species.