Journal of Microbiology

Review

Influence of Microbiota on Vaccine Effectiveness: “Is the Microbiota the Key to Vaccine‑induced Responses?”: So-Hee Hong; J. Microbiol. 2023;61(5):483-494. Published online April 13, 2023; DOI: https://doi.org/10.1007/s12275-023-00044-6

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Vaccines are one of the most powerful tools for preventing infectious diseases. To effectively fight pathogens, vaccines should induce potent and long-lasting immune responses that are specific to the pathogens. However, not all vaccines can induce effective immune responses, and the responses vary greatly among individuals and populations. Although several factors, such as age, host genetics, nutritional status, and region, affect the effectiveness of vaccines, increasing data have suggested that the gut microbiota is critically associated with vaccine-induced immune responses. In this review, I discuss how gut microbiota affects vaccine effectiveness based on the clinical and preclinical data, and summarize possible underlying mechanisms related to the adjuvant effects of microbiota. A better understanding of the link between vaccine-induced immune responses and the gut microbiota using high-throughput technology and sophisticated system vaccinology approaches could provide crucial insights for designing effective personalized preventive and therapeutic vaccination strategies.

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Journal Article

Construction of a genetic linkage map and QTL mapping of agronomic traits in Auricularia auricula-judae: Li-Xin Lu , Fang-Jie Yao , Peng Wang , Ming Fang , You-Min Zhang , Wei-Tong Zhang , Xiang-Hui Kong , Jia Lu; J. Microbiol. 2017;55(10):792-799. Published online September 28, 2017; DOI: https://doi.org/10.1007/s12275-017-7241-6

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Abstract

Auricularia auricula-judae is a traditional edible fungus that is cultivated widely in China. In this study, a genetic linkage map for A. auricula-judae was constructed using a mapping population consisting of 138 monokaryons derived from a hybrid strain (A119-5). The monokaryotic parent strains A14-5 and A18-119 were derived from two cultivated varieties, A14 (Qihei No. 1) and A18 (Qihei No. 2), respectively. In total, 130 simple sequence repeat markers were mapped. These markers were developed using the whole genome sequence of A. auricula-judae and amplified in A14-5, A18- 119, and the mapping population. The map consisted of 11 linkage groups (LGs) spanning 854 cM, with an average interval length of 6.57 cM. A testcross population was derived from crossing between the monokaryon A184-57 (from the wild strain A184 as a tester strain) and the mapping population. Important agronomic trait-related QTLs, including mycelium growth rate on potato dextrose agar for the mapping population, mycelium growth rate on potato dextrose agar and sawdust for the testcross population, growth period (days from inoculation to fruiting body harvesting), and yield for the testcross population, were identified using the composite interval mapping method. Six mycelium growth raterelated QTLs were identified on LG1 and LG4, two growth period-related QTLs were identified on LG2, and three yieldrelated QTLs were identified on LG2 and LG6. The results showed no linkage relationship between mycelium growth rate and growth period. The present study provides a foundation for locating genes for important agronomic characteristics in A. auricula-judae in the future.

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Evaluation of Drought Tolerance and Trehalose Response in Auricularia heimuer
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