02012naa a2200217 a 450000100080000000500110000800800410001902400360006010000220009624501240011826000090024252013550025165000140160665000230162070000230164370000160166670000190168270000210170170000210172277300510174320578442017-04-11       2017    bl uuuu     u00u1 u    #d7 a10.1094/PDIS-06-16-0899-RE2DOI1 aLANA, U. G. de P.  aQuantitative trait loci and resistance gene analogs associated with maize white spot resistance.h[electronic resource]  c2017  aMaize white spot (MWS), caused by the bacterium Pantoea ananatis, is one of the most important maize foliar diseases in tropical and subtropical regions, causing significant yield losses. Despite its economic importance, genetic studies of MWS are scarce. The aim of this study was to map quantitative trait loci (QTL) associated with MWS resistance and to identify resistance gene analogs (RGA) underlying these QTL. QTL mapping was performed in a tropical maize F2:3 population, which was genotyped with simple-sequence repeat and RGA-tagged markers and phenotyped for the response to MWS in two Brazilian southeastern locations. Nine QTL explained approximately 70% of the phenotypic variance for MWS resistance at each location, with two of them consistently detected in both environments. Data mining using 112 resistance genes cloned from different plant species revealed 1,697 RGA distributed in clusters within the maize genome. The RGA Pto19, Pto20, Pto99, and Xa26.151.4 were genetically mapped within MWS resistance QTL on chromosomes 4 and 8 and were preferentially expressed in the resistant parental line at locations where their respective QTL occurred. The consistency of QTL mapping, in silico prediction, and gene expression analyses revealed RGA and genomic regions suitable for marker-assisted selection to improve MWS resistance.  aGenética  aMarcador molecular1 aSOUZA, I. R. P. de1 aNODA, R. W.1 aPASTINA, M. M.1 aMAGALHAES, J. V.1 aGUIMARAES, C. T.  tPlant Diseasegv. 101, n. 1, p. 200-208, 2017.