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Library-Dependent Source Tracking Methods

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Microbial Source Tracking: Methods, Applications, and Case Studies

Abstract

A range of bacterial source tracking techniques is grouped under what is commonly referred to as library-dependent methods (LDM). The methods require the construction of a library of known source profiles that are used for comparison with environmental isolates to determine sources of contamination. Development of the library for a particular study requires consideration of many factors including the organism or group of organisms to be used, size of the library, proportionality, representativeness, and library stability. Appropriate performance testing and statistical analysis are critical for confidence in the results. Each method has advantages and disadvantages, and while many have been compared, there is no consensus on a “standard” method or group of methods due to the complexity of the field and range in the scope and goals of studies. Current recommendations include use of a toolbox approach (multiple methods) or limiting costs through use of a tiered, targeted design, initially with monitoring, followed by targeted source tracking.

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Authors and Affiliations

  1. Department of Life Sciences, Texas A&M University-Corpus Christi, 6300 Ocean Drive, Corpus Christi, TX, 78412-5802, USA

    Joanna Mott

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  1. Joanna Mott
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  2. Amanda Smith
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Correspondence to Joanna Mott .

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  1. Dept. Crop & Soil Environmental Sciences, Virginia Tech, Prince Hall 401, Blacksburg, 24061, Virgin Islands, USA

    Charles Hagedorn

  2. Fac. Biologia, Depto. Microbiologia, Universitat Barcelona, Avenida Diagonal 645, Barcelona, 08028, Spain

    Anicet R. Blanch

  3. Dept. Biology, Div. Integrative Biology (IB), University of South Florida, E. Fowler Ave. 4202, Tampa, 33620, Florida, USA

    Valerie J. Harwood

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Mott, J., Smith, A. (2011). Library-Dependent Source Tracking Methods. In: Hagedorn, C., Blanch, A., Harwood, V. (eds) Microbial Source Tracking: Methods, Applications, and Case Studies. Springer, New York, NY. https://doi.org/10.1007/978-1-4419-9386-1_3

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