| Literature DB >> 21993779 |
Michael A Thomas1, Eva-Maria Schötz.
Abstract
We have developed a 'Scan-Add-Print' database system, SAPling, to track and monitor asexually reproducing organisms. Using barcodes to uniquely identify each animal, we can record information on the life of the individual in a computerized database containing its entire family tree. SAPling has enabled us to carry out large-scale population dynamics experiments with thousands of planarians and keep track of each individual. The database stores information such as family connections, birth date, division date and generation. We show that SAPling can be easily adapted to other asexually reproducing organisms and has a strong potential for use in large-scale and/or long-term population and senescence studies as well as studies of clonal diversity. The software is platform-independent, designed for reliability and ease of use, and provided open source from our webpage to allow project-specific customization.Mesh:
Year: 2011 PMID: 21993779 PMCID: PMC3192020 DOI: 10.1242/jeb.059048
Source DB: PubMed Journal: J Exp Biol ISSN: 0022-0949 Impact factor: 3.312