Genome-wide identification of the walnut MYC gene family and functional characterization of Xinjiang wild walnut under low-temperature stress.

Introduction: MYC transcription factors are the basic regulators of the jasmonic acid signaling pathway and play important roles in plant growth and development and the response to adverse stress. In recent years, severe winter freezing and late spring frost in the main planting area of walnut in Xinjiang have affected the growth and development of walnut, which has become a prominent problem restricting walnut production. Xinjiang wild walnut is the only remaining wild species of walnuts in China, which contains a lot of genes with excellent traits, and is important for the cultivation and breeding. Methods: In this paper, the physicochemical properties and bioinformatics of MYC transcription factor members in walnut were analyzed, and the nine MYC were screened from the transcriptome data under low temperature stress. At last, we study the subcellular localizations and the expression patterns of the nine MYC members in Xinjiang wild walnut. Results: The results revealed that 30 MYC members were identified from published walnut whole-genome data, and their evolutionary relationships with Arabidopsis and poplar were divided into six groups according to clustering analysis, among which JrMYC22 and JrMYC23 had high homology with PtrMYC2b, which is induced by jasmonic acid in response to low-temperature stress. Walnut MYC members are unevenly distributed on 12 chromosomes. The prediction of promoter cis-acting elements of walnut MYC transcription factor family members revealed that cis-acting elements related to jasmonic acid and lowtemperature stress were the ones with the greatest number of members, with 12. In addition, all nine MYC family members in Xinjiang wild walnut plants responding to low-temperature stress exhibited strong fluorescence responses in the nucleus. The expression levels of these members in response to low-temperature stress revealed that JrMYC28, JrMYC31, JrMYC33, JrMYC34, and JrMYC35 were highly expressed, and it was hypothesized that JrMYC28, JrMYC31, JrMYC33, JrMYC34, and JrMYC35 might play a key role in the response to lowtemperature stress. Discussion: The results of this study provide a theoretical basis for further research on the functional mechanisms of the MYC transcription factor family members in walnut.

High genetic diversity and recombination events of porcine astrovirus strains identified from ill and asymptomatic pigs in 2017, Hunan Province, China.

Astroviruses (AstV) are associated with enteric and systemic disease in mammals and birds. Astroviruses have received increased attention recently as they have been found to be associated with sporadic neurologic disease in mammals including humans. In pigs, porcine astrovirus (PoAstV) can be widely detected and has been grouped in five genotypes (PoAstV1 to PoAstV5). In the present study, we detected multiple PoAstVs in serum samples, nasal swabs, and fecal swabs collected from pigs suffering from respiratory disease or diarrhea but also from asymptomatic pigs, indicating a wide tissue tropism of the identified PoAstV genotypes. Coinfection of different genotypes in the same pig was commonly observed, and within an individual pig a high genetic diversity was observed for viruses belonging to the same PoAstV genotype. Two complete genomes of PoAstV2-WG-R2/2017 and PoAstV4-WG-R2/2017 were successfully obtained and characterized, with genome sizes of 6396 and 6643 nucleotides, respectively. The PoAstV2-WG-R2/2017 genome showed identities of 67.2-77.4% to other known PoAstV2 genomes, and the PoAstV4-WG-R2/2017 genome showed identities of 72.8-80.5% to other known PoAstV4 genomes. The predicted spike domain of open reading frame 2 (ORF2) of these strains showed the highest genetic heterogeneity, with amino acid identities of 13.7-70.9% for PoAstV2-WG-R2/2017 to other known PoAstV2 strains, and identities of 24.4-63.3% for the PoAstV4-WG-R2/2017 to other known PoAstV4 strains. Possible recombination events were identified in each of the two sequences. Two subclades of PoAstV2 and three subclades of PoAstV4 were defined in the present analyses. The obtained data provide further evidence for extraintestinal infectivity of PoAstVs, and confirmed the high genetic diversity of PoAstVs and the coinfection potential of different PoAstV types in a single pig.

Prognostic value of adjuvant therapy in T4 non-small cell lung cancer: An inverse probability of treatment weighting analysis.

BACKGROUND: According to the current clinical guidelines, chemoradiotherapy is considered the standard treatment for locally advanced non-small cell lung cancer (NSCLC). We analyzed the prognostic effect of adjuvant chemotherapy (ACT) in resected patients using the new eighth tumor node metastasis (TNM) staging systems based on the Surveillance, Epidemiology and End Results database. METHODS: We identified 3008 patients with stage IIIA NSCLC (T4N0M0) who underwent sublobar resection, lobectomy, or pneumonectomy. Covariates affecting treatment selection or survival were included as part of propensity score models for matching and weighting. The effect of ACT on survival was assessed, stratified by postoperative radiation therapy (PORT) use, tumor size, and age. RESULTS: Analyses of 2016 patients were conducted with standardized differences in covariates < 10% after matching. ACT was associated with significantly improved five-year overall survival (51.1% vs. 39.7%; P = 0.0260) in patients aged 21-65 with > 7 cm tumors, even after adjusting for the presence or absence of the superior sulcus (P = 0.0003). No significant outcomes were observed using other stratifications in the matched analysis. Moreover, ACT with PORT conferred a potential survival benefit in 21-65-year-old patients with 0-7 cm tumors (for all causes of death: hazard ratio 0.414, 95% confidence interval 0.251-0.684). CONCLUSION: In this population-based cohort, ACT prolonged the survival of patients aged 21-65 with a tumor > 7 cm, with or without PORT. Inverse probability of treatment weighting can estimate the treatment effect and is suitable for use with survival data.