Molecular Identification of Aspergillus Species Collected for the Transplant-Associated Infection Surveillance Network

Author:

Balajee S. Arunmozhi1,Kano Rui1,Baddley John W.23,Moser Stephen A.4,Marr Kieren A.56,Alexander Barbara D.7,Andes David8,Kontoyiannis Dimitrios P.9,Perrone Giancarlo10,Peterson Stephen11,Brandt Mary E.1,Pappas Peter G.2,Chiller Tom1

Affiliation:

1. Mycotic Diseases Branch, Centers for Disease Control and Prevention, Atlanta, Georgia

2. Department of Medicine

3. Department of Medicine, Birmingham Veterans Affairs Medical Center, Birmingham, Alabama

4. Department of Pathology, University of Alabama at Birmingham

5. Fred Hutchinson Cancer Research Center, Seattle, Washington

6. Johns Hopkins University, Baltimore, Maryland

7. Duke University, Durham, North Carolina

8. University of Wisconsin, Madison, Wisconsin

9. M. D. Anderson Cancer Center, Houston, Texas

10. Institute of Sciences of Food Production, National Research Council, Bari, Italy

11. National Center for Agricultural Utilization Research, U.S. Department of Agriculture, Peoria, Illinois

Abstract

ABSTRACT A large aggregate collection of clinical isolates of aspergilli ( n = 218) from transplant patients with proven or probable invasive aspergillosis was available from the Transplant-Associated Infection Surveillance Network, a 6-year prospective surveillance study. To determine the Aspergillus species distribution in this collection, isolates were subjected to comparative sequence analyses by use of the internal transcribed spacer and β-tubulin regions. Aspergillus fumigatus was the predominant species recovered, followed by A. flavus and A. niger . Several newly described species were identified, including A. lentulus and A. calidoustus ; both species had high in vitro MICs to multiple antifungal drugs. Aspergillus tubingensis , a member of the A. niger species complex, is described from clinical specimens; all A. tubingensis isolates had low in vitro MICs to antifungal drugs.

Publisher

American Society for Microbiology

Subject

Microbiology (medical)

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2023 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3