PubMed · 14871638
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Bernard Dixon. 2004. Baring all.. https://doi.org/10.1016/s1473-3099(04)00933-8
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Arbuscular mycorrhizal colonization was measured in the most abundant plant species of the Paraguaná Peninsula, northwestern Venezuela. These plant species included: Acacia tortuosa, Argusia gnaphalodes, Croton punctatus, Croton rhamnifolius, Egletes prostrata, Melochia tomentosa, Panicum vaginatum, Scaevola plumieri, Sporobolus virginicus, Suriana maritima, Leptothrium rigidum, and Fimbristylis cymosa. Mycorrhizal colonization was assessed using the Trouvelot et al. (1986) method that allows for simultaneous evaluation of frequency of colonization (%F), intensity of colonization (%M), and the proportion of arbuscules (%A) and vesicles (%V) present in the roots. Average frequency of colonization was 69%. The highest frequency of colonization was around 92% in C. rhamnifolius and A. tortuosa; in the other species, it varied from 49 to 86%. L. rigidum and F. cymosa were considered nonmycorrhizal because its colonization was very scarce and at all times appeared without arbuscules. Average intensity of colonization was 7%. The highest intensity of colonization was 18% in C. rhamnifolius. In the other species, it varied from 3 to 15%. Paspalum vaginatum, A. gnaphalodes, M. tomentosa, and S. maritima had their fungal structures tightly packed in modified little ovoid roots. In general, frequency of AM colonization was high and similar to those reported for other tropical ecosystems, whereas the intensity of AM colonization was low and similar to values obtained in analogous studies in disturbed ecosystems.
Rapid advances in microfabrication, DNA and protein microarray and microfluidic technologies have enabled the development of fully-integrated, miniaturized systems. These so called 'laboratory-on-a-chip' (LOC) devices perform sample preparation (i.e. concentration, separation and purification) together with biochemical reactions and detection steps in a simple and automated manner. We believe LOC technology for environmental microbiology studies will have immediate impacts on microbial monitoring by achieving detection and identification within minutes at the single-cell level, and on microbial ecology by deepening the understanding of microbial community structure and diversity and correlating these with niche-specific functions within a micro space. In the long run, significant impacts are anticipated on environmental metagenomics and proteomics.
Shiga toxin producing Escherichia coli (STEC) in sewage influent into surface water are a potential source of human infections with STEC. Eight sewage treatment plants in Bavaria, Germany, were sampled at regular intervals from 2003 to 2004 in order to estimate STEC load and quantify risk factors. 95 of 378 samples (25 %) were tested positive for stx1and/or stx2 with PCR after enrichment culture. STEC elimination after treatment was 44 %. The following risk factors were analysed with logistic regression: location of sewage plant (rural vs. urban), treatment plant technology (two stage vs. three stage treatment) and sampling location (sewage input vs. sewage output). Rural plants had odds-ratios of 1,7 (95 % CI 1.03 - 2.69; p = 0.038) for a positive stx1 and/ or stx2 PCR result, sampling at sewage input of 2.1 (95 %CI 1.28 - 3.36; p = 0.003) and three stage plants of 1.51 (95 % CI 0.94 - 2.44; p = 0.087, not significant). Sampling after rain and after dry spells had no impact on STEC abundance (univariate Chi-square test = 0.01; df1; p = 0.920). Rural sewage plants had higher odds of STEC content. The influence of the sewage plant technology on the STEC load requires further clarification.