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Scott, R. K.; Clark, Christopher; Mathews, Ann; Yallop, Sarah; Davey, M. R.; Lazzeri, P. A.; Mutasa-Göttgens, Effie

doi:10.1023/a:1022406831709

Cited by 2 publications

(1 citation statement)

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“…However, to our knowledge none of them are capable of reflecting the inheritance patterns of individual mutations through the successive rounds of seed amplifications, line crossing or mutagenesis encountered in a typical research laboratory. Indeed, most programs have been designed for managers of plant transformation or greenhouse facilities that use standardized procedures (Scott et al, 2003; Henry et al, 2008; Kohl and Gremmels, 2010; Hanke et al, 2014), or for plant breeding laboratories facing large sets of phenotyping and genotyping data derived from accession sequencing or QTL mapping (Lee et al, 2005; Jung et al, 2011; Milc et al, 2011; Love et al, 2012). Nevertheless, several software programs have been developed to track plant lines in basic research laboratories, such as PlantDB and Phytotracker (Exner et al, 2008; Nieuwland et al, 2012).…”

Section: Introductionmentioning

confidence: 99%

SeedUSoon: A New Software Program to Improve Seed Stock Management and Plant Line Exchanges between Research Laboratories

et al. 2017

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Plant research is supported by an ever-growing collection of mutant or transgenic lines. In the past, a typical basic research laboratory would focus on only a few plant lines that were carefully isolated from collections of lines containing random mutations. The subsequent technological breakthrough in high-throughput sequencing, combined with novel and highly efficient mutagenesis techniques (including site-directed mutagenesis), has led to a recent exponential growth in plant line collections used by individual researchers. Tracking the generation and genetic properties of these genetic resources is thus becoming increasingly challenging for researchers. Another difficulty for researchers is controlling the use of seeds protected by a Material Transfer Agreement, as often only the original recipient of the seeds is aware of the existence of such documents. This situation can thus lead to difficult legal situations. Simultaneously, various institutions and the general public now demand more information about the use of genetically modified organisms (GMOs). In response, researchers are seeking new database solutions to address the triple challenge of research competition, legal constraints, and institutional/public demands. To help plant biology laboratories organize, describe, store, trace, and distribute their seeds, we have developed the new program SeedUSoon, with simplicity in mind. This software contains data management functions that allow the separate tracking of distinct mutations, even in successive crossings or mutagenesis. SeedUSoon reflects the biotechnological diversity of mutations and transgenes contained in any specific line, and the history of their inheritance. It can facilitate GMO certification procedures by distinguishing mutations on the basis of the presence/absence of a transgene, and by recording the technology used for their generation. Its interface can be customized to match the context and rules of any laboratory. In addition, SeedUSoon includes functions to help the laboratory protect intellectual property, export data, and facilitate seed exchange between laboratories. The SeedUSoon program, which is customizable to match individual practices and preferences, provides a powerful toolkit to plant laboratories searching for innovative approaches in laboratory management.

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