RESUMO
Recent advances in Colletotrichum taxonomy have led to the need to conduct fresh surveys of Colletotrichum species associated with important crops. Anthracnose caused by Colletotrichum spp. is one of the destructive diseases on Camellia sinensis. In this study, a total of 22 representative Colletotrichum isolates were obtained from diseased leaves of Ca. sinensis cultivated in four tea plantation regions in Anhui Province of China. The isolates were identified based on multilocus (ITS, ACT, CAL, CHS-1, TUB2, GAPDH) phylogenetic analyses, and their morphological characteristics were also analyzed. Twenty-one isolates belonging to C. gloeosporioides complex were identified as C. camelliae, C. fructicola, and C. siamense. One isolate belonging to C. boninense complex was identified as C. karstii. Pathogenicity tests revealed that the isolates of C. camelliae and C. fructicola were highly virulent when inoculated on the leaves of detached twigs of Ca. sinensis cv. Shuchazao. Furthermore, it was found that the interspecies virulence was less distinct and individual isolates showed varied virulence when inoculated on different varieties of Ca. sinensis. To our knowledge, this is the first report of C. fructicola, C. siamense, and C. karstii causing anthracnose on Ca. sinensis in Anhui Province, China.
Assuntos
Camellia sinensis , Colletotrichum , China , Colletotrichum/genética , Filogenia , Doenças das PlantasRESUMO
Fluorescent nitrogen-doped carbon dots (CDs) were prepared via hydrothermal method at 190 °C for 10 h using rhizobium from soy as the carbon and nitrogen source. Their optical properties, structure, morphology, and functional groups were characterized in detail and the results showed that they possess unique excitation-dependent fluorescence behavior, with average diameter 4.5 ± 2.0 nm and good water dispersibility. Due to the overlap of the UV-vis absorbance of chlortetracycline hydrochloride (CCH) and the fluorescence excitation band of CDs, the fluorescence of the prepared CDs can be quenched by CCH selectively and sensitively. The changes of the fluorescence intensity of CDs have a good linear relationship with the concentration of CCH in a wide concentration range of 5-100 µM, with a detection limit of 0.254 µM. This present method has been successfully applied to determine the CCH in water with recovery ranging from 96.0% to 100.7%.
Assuntos
Carbono/química , Clortetraciclina/análise , Corantes Fluorescentes/química , Nitrogênio/química , Pontos Quânticos/química , Poluentes Químicos da Água/análise , Rhizobium/química , Espectrometria de FluorescênciaRESUMO
BACKGROUND: Single nucleotide polymorphisms (SNPs) are often associated with distinct phenotypes in cancer. The present study investigated associations of cancer risk and outcomes with SNPs discovered by whole exome sequencing of normal lung tissue DNA of 15 non-small cell lung cancer (NSCLC) patients, 10 early stage and 5 advanced stage. METHODS: DNA extracted from normal lung tissue of the 15 NSCLC patients was subjected to whole genome amplification and sequencing and analyzed for the occurrence of SNPs. The association of SNPs with the risk of lung cancer and survival was surveyed using the OncoArray study dataset of 85,716 patients (29,266 cases and 56,450 cancer-free controls) and the Prostate, Lung, Colorectal and Ovarian study subset of 1,175 lung cancer patients. RESULTS: We identified 4 SNPs exclusive to the 5 patients with advanced stage NSCLC: rs10420388 and rs10418574 in the CLPP gene, and rs11126435 and rs2021725 in the M1AP gene. The variant alleles G of SNP rs10420388 and A of SNP rs10418574 in the CLPP gene were associated with increased risk of squamous cell carcinoma (OR = 1.07 and 1.07; P = 0.013 and 0.016, respectively). The variant allele T of SNP rs11126435 in the M1AP gene was associated with decreased risk of adenocarcinoma (OR = 0.95; P = 0.027). There was no significant association of these SNPs with the overall survival of lung cancer patients (P > 0.05). CONCLUSIONS: SNPs identified in the CLPP and M1AP genes may be useful in risk prediction models for lung cancer. The previously established association of the CLPP gene with cancer progression lends relevance to our findings.