An efficient method for targeted cloning of large DNA fragments from Streptomyces.

Cloning of large DNA fragments from microorganisms becomes increasingly important but remains seriously challenging due to the complexity and diversity of genetic background. In particular, the methods with high precision and efficiency are in great need for obtaining intact biosynthetic gene clusters (BGCs) of microbial natural products. Here, we report a new strategy for targeted cloning of large DNA fragments (TCLD) from different bacteria. Using this method, precise cloning of desired E. coli chromosomal fragments up to 201 kb was achieved with 53% positive rate. Moreover, its application in cloning of large BGCs with high G + C content and multiple repetitive sequences was also demonstrated, including the 98 kb tylosin BGC (tyl), 128 kb daptomycin BGC (dpt), and 127 kb salinomycin BGC (sal). Subsequently, heterologous expression of the cloned tyl BGC in Streptomyces coelicolor M1146 led to the production of tylosins in the resulting recombinant strains. And also, its introduction into Streptomyces fradiae ATCC 19609, a native producer of tylosin, effectively increased tylosin yield to 230%. Hence, TCLD is a powerful tool for cloning large BGCs and would facilitate the discovery of bioactive substances from microbial resources. KEY POINTS: • TCLD is an efficient method for cloning large DNA fragments. • Repeat sequence-mediated intra-molecular cyclization improves the cloning efficiency. • TCLD combined with scarless editing allows unlimited modifications on BGCs.

ANLN and UBE2T are prognostic biomarkers associated with immune regulation in breast cancer: a bioinformatics analysis.

OBJECTIVES: To screen and verify differential genes affecting the prognosis of breast cancer. METHODS: Breast cancer gene expression datasets were downloaded from the GEO database, and original data were analyzed in R. The TIMER database was used to analyze the relationship between ANLN and UBE2T and immune cell infiltration. RESULTS: Ten hub-key genes were identified, and survival analysis showed that UBE2T and ANLN were upregulated in breast cancer and their upregulation was associated with a poor prognosis. ANLN and UBE2T upregulation was associated with the prevalence of Th1 and Th2 cells, shifting the Th1/Th2 balance to Th2 in Basal and Luminal-B breast cancers, which indicates a poor prognosis (P < 0.05). CONCLUSION: ANLN and UBE2T are potential biomarkers for predicting the prognosis of breast cancer.