Combining Forces - The Use of Landsat TM Satellite Imagery, Soil Parameter Information, and Multiplex PCR to Detect Coccidioides immitis Growth Sites in Kern County, California

被引:13
作者
Lauer, Antje [1 ]
Talamantes, Jorge [2 ]
Castanon Olivares, Laura Rosio [3 ]
Medina, Luis Jaime [2 ]
Baal, Joe Daryl Hugo [1 ]
Casimiro, Kayla [1 ]
Shroff, Natasha [1 ]
Emery, Kirt W. [4 ]
机构
[1] Calif State Univ, Dept Biol, Bakersfield, CA 93311 USA
[2] Calif State Univ, Dept Phys & Engn, Bakersfield, CA USA
[3] Univ Nacl Autonoma Mexico, Fac Med, Lab Micol Med, Mexico City 04510, DF, Mexico
[4] Cty Kern Publ Hlth Serv Dept, Bakersfield, CA USA
来源
PLOS ONE | 2014年 / 9卷 / 11期
基金
美国国家科学基金会;
关键词
VALLEY FEVER; CLIMATE; POPULATION; DIVERSITY; POSADASII; ARIZONA;
D O I
10.1371/journal.pone.0111921
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Coccidioidomycosis is a fungal disease acquired through the inhalation of spores of Coccidioides spp., which afflicts primarily humans and other mammals. It is endemic to areas in the southwestern United States, including the San Joaquin Valley portion of Kern County, California, our region of interest (ROI). Recently, incidence of coccidioidomycosis, also known as valley fever, has increased significantly, and several factors including climate change have been suggested as possible drivers for this observation. Up to date details about the ecological niche of C. immitis have escaped full characterization. In our project, we chose a three-step approach to investigate this niche: 1) We examined Landsat-5-Thematic-Mapper multispectral images of our ROI by using training pixels at a 750 mx750 m section of Sharktooth Hill, a site confirmed to be a C. immitis growth site, to implement a Maximum Likelihood Classification scheme to map out the locations that could be suitable to support the growth of the pathogen; 2) We used the websoilsurvey database of the US Department of Agriculture to obtain soil parameter data; and 3) We investigated soil samples from 23 sites around Bakersfield, California using a multiplex Polymerase Chain Reaction (PCR) based method to detect the pathogen. Our results indicated that a combination of satellite imagery, soil type information, and multiplex PCR are powerful tools to predict and identify growth sites of C. immitis. This approach can be used as a basis for systematic sampling and investigation of soils to detect Coccidioides spp.
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页数:14
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