Wright Meredith S, Stockwell Timothy B, Beck Erin, Busam Dana A, Bajaksouzian Saralee, Jacobs Michael R, Bonomo Robert A, Adams Mark D
J. Craig Venter Institute, La Jolla, CA, USA.
J. Craig Venter Institute, Rockville, MD, USA.
Infect Genet Evol. 2015 Jun;32:191-8. doi: 10.1016/j.meegid.2015.03.018. Epub 2015 Mar 19.
Whole genome sequencing (WGS) of large isolate collections has many applications, yet sequencing costs are still significant. We sought to develop a rapid and cost efficient WGS method to address fundamental questions in clinical microbiology. We evaluated the performance of SISPA (Sequence-Independent, Single-Primer Amplification) combined with next-generation sequencing (SISPA-Seq) of 75 clinical isolates of Acinetobacter baumannii to establish whether SISPA-Seq resulted in sufficient coverage and quality to (1) determine strain phylogenetic placement and (2) and carriage of known antibiotic resistance (AbR) genes. Strains for which whole genome sequences were available were included for validation. Two libraries for each strain were constructed from separate SISPA reactions with different barcoded primers, using genomic DNA prepared from either high quality or rapid heat-lysis preparations. SISPA-Seq resulted in a median of 65× genome coverage when reads from both primer sets were combined. Coverage and quality were sufficient for detection of AbR genes by comparison of reads to the ARG-ANNOT database and were often sufficient to distinguish between different allelic variants of the same gene. kSNP and RAxML were used to construct a robust phylogeny based on single-nucleotide variants (SNVs) that showed that the SISPA-Seq data was sufficient for sensitive and accurate phylogenetic placement. Advantages of the SISPA-Seq method include inexpensive and rapid DNA preparation and a typical total cost less than one-half that of standard genome sequencing. In summary, SISPA-Seq can be used to survey whole genomes of a large strain collection and identify strains that should be targeted for additional sequencing.
对大量分离株进行全基因组测序(WGS)有许多应用,但测序成本仍然很高。我们试图开发一种快速且经济高效的WGS方法,以解决临床微生物学中的基本问题。我们评估了序列独立单引物扩增(SISPA)与75株鲍曼不动杆菌临床分离株的下一代测序(SISPA-Seq)相结合的性能,以确定SISPA-Seq是否能产生足够的覆盖度和质量,以(1)确定菌株的系统发育位置,以及(2)检测已知抗生素耐药(AbR)基因的携带情况。纳入了有全基因组序列的菌株进行验证。使用从高质量或快速热裂解制备物中提取的基因组DNA,通过不同条形码引物的单独SISPA反应为每个菌株构建两个文库。当将两个引物组的读数合并时,SISPA-Seq产生的基因组覆盖度中位数为65倍。通过将读数与ARG-ANNOT数据库进行比较,覆盖度和质量足以检测AbR基因,并且通常足以区分同一基因的不同等位基因变体。使用kSNP和RAxML基于单核苷酸变体(SNV)构建了一个稳健的系统发育树,表明SISPA-Seq数据足以进行敏感且准确的系统发育定位。SISPA-Seq方法的优点包括廉价且快速的DNA制备,以及典型的总成本不到标准基因组测序的一半。总之,SISPA-Seq可用于对大量菌株进行全基因组检测,并识别应针对额外测序的菌株。