Vascular wilt diseases caused by soil-borne pathogens are among the most devastating plant diseases worldwide. The Verticillium genus includes vascular wilt pathogens with a wide host range. Although V. longisporum infects various hosts belonging to the Cruciferaceae, V. dahliae and V. albo-atrum cause vascular wilt diseases in over 200 dicotyledonous species, including economically important crops. A locus responsible for resistance against race 1 strains of V. dahliae and V. albo-atrum has been cloned from tomato (Solanum lycopersicum) only. This locus, known as Ve, comprises two closely linked inversely oriented genes, Ve1 and Ve2, that encode cell surface receptor proteins of the extracellular leucine-rich repeat receptor-like protein class of disease resistance proteins. Here, we show that Ve1, but not Ve2, provides resistance in tomato against race 1 strains of V. dahliae and V. albo-atrum and not against race 2 strains. Using virus-induced gene silencing in tomato, the signaling cascade downstream of Ve1 is shown to require both EDS1 and NDR1. In addition, NRC1, ACIF, MEK2, and SERK3/ BAK1 also act as positive regulators of Ve1 in tomato. In conclusion, Ve1-mediated resistance signaling only partially overlaps with signaling mediated by Cf proteins, type members of the receptor-like protein class of resistance proteins.

By using the rDNA of a plant wilt pathogen (Verticillium dahliae) as the target sequence, a direct method for the extraction of DNA from soil samples which can be used for PCR-mediated diagnostics without a need for further DNA purification has been developed. The soil organisms are disrupted by grinding in liquid nitrogen with the natural abrasives in soil, and losses due to degradation and adsorption are largely eliminated by the addition of skim milk powder. The DNA from disrupted cells is extracted with sodium dodecyl sulfate-phenol and collected by ethanol precipitation. After suitable dilution, this DNA extract can be assayed directly by PCR amplification technologies. The method is rapid, cost efficient, and when combined with suitable internal controls can be applied to the detection and quantification of specific soil organisms or pathogens on a large-scale basis.