1.研究结核病/艾滋病双重感染高负担地区不同艾滋病感染状态下耐多药结核病患者(Multidrug-resistant TB, MDR-TB)耐多药结核分枝杆菌耐药基因全基因组序列，确定耐多药菌株变异基因核苷酸多态性;利用其它来源参考株构建核苷酸系统进化树，推断项目地区不同HIV状态下MDR-TB进化关系；.2.利用贝叶斯数学模型构建不同HIV状态下MDR-TB耐多药基因的传播网络；明确MDR-TB的传播关系；.3.比较艾滋病阳性组和阴性组，不同艾滋病分期以及不同CD4淋巴细胞计数分层的MDR-TB耐多药菌株变异基因核苷酸多态性,以及耐多药变异基因在传播网络的传递率，阐明合并艾滋病感染以及不同分层特征是否对MDR-TB耐药基因传播、耐药进化速率及MDR-TB传播动力产生影响，并探讨其传播关系；对合并艾滋病感染的MDR-TB流行趋势进行预测，为阻断MDR-TB传播提供证据。

1.We try to test the whole molecular sequencing of multi-drug resistant tuberculosis (MDR-TB) genomes in HIV positive and negative HIV patients in a province with high TB/HIV co-infection disease burden, Guangxi to analyze the differences of single-nucleotide polymorphisms (SNPs) of accumulated mutations in the multiple-drug resistant genomes, and understand the SNPs; we use other referential MDR-TB strains sources to establish the phylogenetic evolutionary tree and infer the phylogenetic evolution of M strain in the terminal branches with different HIV status; .2.We will re-construct the transmission network with using Bayesian model optimized for MDR-TB, release the MDR-TB transmission relationship in community level;.3.Compare the SNPs and the mutation rate for MDR-TB genomes in different stratification of HIV status, HIV phases and CD4 lymphocyte count in the transmission network to demonstrate the impact of HIV co-infection on the MDR-TB drug-resistant genomes transmission, mutation transmission and the MDR-TB transmission dynamic, explore the relationship of MDR-TB transmission. We like to use the results of this research to predict the MDR-TB transmission trend in Guangxi to provide the data-based evidence to stem MDR-TB transmission.