Submitted to: Plant and Animal Genome Conference Proceedings
Publication Type: Proceedings
Publication Acceptance Date: 1/16/1998
Publication Date: N/A
Citation: Interpretive Summary:
Technical Abstract: For a species' database, the actual data are obviously of utmost importance. The manner in which data are displayed, is also significant. We recently altered the model for QTL (quantitative trait loci) in SoyBase to link not to the locus itself, but rather to an interval around that locus on its linkage group. This change demonstrated relationships that had previously gone unnoticed. 1) QTL are not uniformly distributed throughout the genome. In the Glycine max x G. Soja USDA RFLP map, 13 linkage groups had two or more QTL, two have more than eight, and seven have none. This is not simply a function of total length; for instance, L has seven QTL in a length of 134 cM, whereas H has none in 201 cM. A similar distribution exists in maps of Minsoy X Noir1 and Young x PI416937. 2) QTL for a given trait occur on comparable linkage groups throughout different populations. For example, QTL for soybean cyst nematode resistance are found on USDA linkage groups A, G, J, or their comparable linkage groups, in six populations. Also, QTL for oil content of seeds exist on A, C, E, J, L, or their comparable linkage groups, in 12 populations. 3) Frequently a large number of seemingly unrelated but agronomically important traits are coincident on a single linkage group. QTL for seed yield, beginning seed, seed fill, seed pod maturity, seed number, first flower, leaf area, plant height, and lodging all are associated with U9 of Minsoy x Noir1. This new perspective on data presentation raises possibilities for further analysis of quantitative trait loci in soybean. All SoyBase data are available at the National Agricultural Library (http://probe.nalusda.gov:8000/plant/aboutsoybase. html) or through our home page (http://macgrant.agron.iastate.edu).