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Changes in soil bacterial community profiles associated with ...

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Soil <strong>bacterial</strong> communities reflect<strong>in</strong>g land degradation45AntibioticAmpicill<strong>in</strong>ChloramphenicolDapsonErythromyc<strong>in</strong>Kanamyc<strong>in</strong> sulfateLasalocidNafcill<strong>in</strong>Nalidixic acidNeomyc<strong>in</strong>∙HClNovobioc<strong>in</strong>Penicill<strong>in</strong> GSpect<strong>in</strong>omyc<strong>in</strong>∙2HClStreptomyc<strong>in</strong> sulfateSulfamethoxazoleTetracycl<strong>in</strong>eTrimethoprimMixture 1Mixture 2Bare ground 1Bare ground 2AntibioticAmpicill<strong>in</strong>ChloramphenicolDapsonErythromyc<strong>in</strong>Kanamyc<strong>in</strong> sulfateLasalocidNafcill<strong>in</strong>Nadixic acidNeomyc<strong>in</strong>∙HClNovobioc<strong>in</strong>Penicill<strong>in</strong> GSpect<strong>in</strong>omyc<strong>in</strong>∙2HClStreptomyc<strong>in</strong> sulfateSulfamethoxazoleTetracycl<strong>in</strong>eTrimethoprimMixture 1Mixture 2Dry evergreenforest 10 0.1 0.2 0 0.1 0.2Relative susceptibilityDry evergreenforest 2Relative susceptibilityFig. 3. Profiles of the <strong>soil</strong> samples based on susceptibility of the <strong>soil</strong> <strong>bacterial</strong> communities to theantibiotics. The error bars <strong>in</strong>dicate standard deviations (n=3). The horizontal axes <strong>in</strong>dicatethe relative susceptibility of the <strong>bacterial</strong> <strong>community</strong> to each antibiotic determ<strong>in</strong>ed by the ratiotransformation (see text).than that from DEF 2.Susceptibility patterns of the <strong>bacterial</strong> communities also reflected effects of deforestation (Fig. 3). The <strong>bacterial</strong><strong>community</strong> <strong>in</strong> the BG <strong>soil</strong> had high susceptibility to novobioc<strong>in</strong>, penicill<strong>in</strong>, spect<strong>in</strong>omyc<strong>in</strong>, streptomyc<strong>in</strong>, sulfamethoxazole,tetracycl<strong>in</strong>e and tetracycl<strong>in</strong>e-trimethoprim mixture (mixture 2). The DEF <strong>bacterial</strong> <strong>community</strong> showed high susceptibility topenicill<strong>in</strong>, sulfamethoxazole and the two mixtures. The DEF <strong>soil</strong> samples suggested differences <strong>in</strong> <strong>bacterial</strong> <strong>community</strong>susceptibility patterns between them: the DEF 1 sample had high susceptibility to dapson, while the DEF 2 sample tonovobioc<strong>in</strong> and streptomyc<strong>in</strong>.Fig2,3PCAMethod 1 discrim<strong>in</strong>ated between the sample groups as shown <strong>in</strong> Fig. 4a. The first and second PCs expla<strong>in</strong>ed more than halfof the variation; 44 and 13%, respectively. The sample groups were separated by the first PC axis. The second PC axis didnot separate the sampl<strong>in</strong>g po<strong>in</strong>ts under each of the vegetative types.Method 2 also discrim<strong>in</strong>ated between the <strong>soil</strong> sample groups (Fig. 4b). The first and second PCs expla<strong>in</strong>ed 30 and 19%

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