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      Diversity of free-living and lichenized fungal communities in biological soil crusts of the Sultanate of Oman and their role in improving soil properties

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      Soil Biology and Biochemistry
      Elsevier BV

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          The arcsine is asinine: the analysis of proportions in ecology

          The arcsine square root transformation has long been standard procedure when analyzing proportional data in ecology, with applications in data sets containing binomial and non-binomial response variables. Here, we argue that the arcsine transform should not be used in either circumstance. For binomial data, logistic regression has greater interpretability and higher power than analyses of transformed data. However, it is important to check the data for additional unexplained variation, i.e., overdispersion, and to account for it via the inclusion of random effects in the model if found. For non-binomial data, the arcsine transform is undesirable on the grounds of interpretability, and because it can produce nonsensical predictions. The logit transformation is proposed as an alternative approach to address these issues. Examples are presented in both cases to illustrate these advantages, comparing various methods of analyzing proportions including untransformed, arcsine- and logit-transformed linear models and logistic regression (with or without random effects). Simulations demonstrate that logistic regression usually provides a gain in power over other methods.
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            Bacterial tag-encoded FLX amplicon pyrosequencing (bTEFAP) for microbiome studies: bacterial diversity in the ileum of newly weaned Salmonella-infected pigs.

            The microbiota of an animal's intestinal tract plays a vital role in the animal's overall health. There is a surprising scarcity of information on the microbial diversity in the gut of livestock species such as cattle and swine. Here we describe a bacterial 16S-based tag-encoded FLX amplicon pyrosequencing (bTEFAP) method that we have developed as a high-throughput universal tool for bacterial diversity, epidemiology, and pathogen detection studies. This method will allow hundreds of samples to be run simultaneously but analyzed individually or as groups. To test this new methodology, we individually evaluated the bacterial diversity in the ileum of 21 pigs. Ubiquitous bacteria detected in the newly weaned pigs were Clostridium spp., Lactobacillus spp., and Helicobacter spp. Many of the pigs had surprisingly low concentrations of beneficial bacteria such as Bifidobacterium spp. Only four of the pigs were shown to be positive for Salmonella spp. using traditional culture methods. A total of eight pigs were bTEFAP positive for Salmonella spp., including all four of the pigs that had been culture positive. Two of the pigs sampled were also positive for Campylobacter spp. tentative identified as jejuni. Using rarefaction curves modeled with the Richards equation, we estimated the maximum number of unique species level (3% dissimilarity) operational taxonomic units in the ileum of these pigs. These predictions indicated that there may be as many as 821 different species associated with the ileum in pigs. Together these data indicate a powerful potential of this technology in food safety and epidemiological and bacterial diversity applications. Using bTEFAP, we can expect to gain a better understanding of how the microbiome of an animal contributes to its health and well-being.
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              The potential roles of biological soil crusts in dryland hydrologic cycles

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                Author and article information

                Journal
                Soil Biology and Biochemistry
                Soil Biology and Biochemistry
                Elsevier BV
                00380717
                February 2013
                February 2013
                : 57
                :
                : 695-705
                Article
                10.1016/j.soilbio.2012.07.023
                bc08a3f3-748f-49d0-b39a-f29bf308f867
                © 2013

                http://www.elsevier.com/tdm/userlicense/1.0/

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