With the rapid development of next-generation sequencing technologies, bacterial identification becomes a very important and essential step in processing genomic data, especially for metagenomic data. Many computation...With the rapid development of next-generation sequencing technologies, bacterial identification becomes a very important and essential step in processing genomic data, especially for metagenomic data. Many computational methods have been developed and some of them are widely used to address the problems in bacterial identification. In this article we review the algorithms of these methods, discuss their drawbacks, and propose future computational methods that use genomic data to characterize bacteria. In addition, we tackle two specific computational problems in bacterial identification, namely, the detection of host-specific bacteria and the detection of disease-associated bacteria, by offering potential solutions as a starting point for those who are interested in the area.展开更多
基金supported by the National Institute of Health of USA under Grant No. R21/R33 GM078601USDANIFA’s Evans-Allen Grant (Project NO: MOX-Zheng) under Grant No. 0223248International Exchange and Cooperation Officeof Nanjing Medical University of China
文摘With the rapid development of next-generation sequencing technologies, bacterial identification becomes a very important and essential step in processing genomic data, especially for metagenomic data. Many computational methods have been developed and some of them are widely used to address the problems in bacterial identification. In this article we review the algorithms of these methods, discuss their drawbacks, and propose future computational methods that use genomic data to characterize bacteria. In addition, we tackle two specific computational problems in bacterial identification, namely, the detection of host-specific bacteria and the detection of disease-associated bacteria, by offering potential solutions as a starting point for those who are interested in the area.
文摘对黑龙江省成熟大白菜〔Brassica pekinensis(Lour.)Rupr.〕生产田采集的软腐病菌进行分离、纯化,并根据形态学特征分析了大白菜软腐病菌的种群组成。结果表明,引起黑龙江省秋季大白菜软腐病的主要致病菌是胡萝卜软腐欧文氏菌胡萝卜软腐亚种〔Erwinia carotovora(Jones)Bergey et al.subsp.carotovora〕(Ecc);利用20个Ecc菌株的混合菌对来源于不同生态型及不同地区的大白菜品种进行接种,筛选出5个鉴别寄主,以此将20个Ecc菌株划分为5个致病力类型,其中V型为优势致病菌,其分布广且致病力强。
