03000naa a2200277 a 450000100080000000500110000800800410001902400350006010000190009524502000011426000090031452020970032365000130242065300280243365300220246170000280248370000170251170000170252870000220254570000210256770000210258870000190260970000200262870000210264877300530266920226982016-02-19       2015    bl uuuu     u00u1 u    #d7 a10.1186/s12870-015-0561-y2DOI1 aAZEVEDO, G. C.  aMultiple interval QTL mapping and searching for PSTOL1 homologs associated with root morphology, biomass accumulation and phosphorus content in maize seedlings under low-P.h[electronic resource]  c2015  aBackground: Modifications in root morphology are important strategies to maximize soil exploitation under phosphorus starvation in plants. Here, we used two multiple interval models to map QTLs related to root traits, biomass accumulation and Pcontent in amaize RIL population cultivated in nutrient solution. In addition, we searched for putative maize homologs to PSTOL1, a gene responsible to enhance early root growth, Puptake and grain yield in rice and sorghum. Results: Based on path analysis, root surface area was the root morphology component that most strongly contributed to total dry weight and to Pcontent in maize seedling under low-Pavailability.Multiple interval mapping modelsfor single (MIM) and multiple traits (MT-MIM) were combined and revealed 13 genomic regions significantly associated with the target traits in a complementary way. The phenotypic variances explained by all QTLs and their epistatic interactions using MT-MIM (23.4 to 35.5%) were higher than in previous studies, and presented superior statistical power.Some of theseQTLswere coincident with QTLsfor root morphology traitsand grain yield previously mapped,whereasothersharbored ZmPSTOLcandidate genes,which shared more than 55%of amino acid sequence identity and a conserved serine/threonine kinase domain with OsPSTOL1.Additionally, four ZmPSTOLcandidate genes co-localized with QTLsfor root morphology, biomassaccumulation and/or Pcontent were preferentially expressed in rootsof the parental lines that contributed the allelesenhancing the respective phenotypes. Conclusions: QTLmapping strategies adopted in this study revealed complementary results for single and multiple traitswith high accuracy. Some QTLs,mainly the ones that were also associated with yield performance in other studies, can be good targets for marker-assisted selection to improve P-use efficiency in maize. Based on the co-localization with QTLs, the protein domain conservation and the coincidence of gene expression,we selected novel maize genesasputative homologs to PSTOL1 that will require further validation studies.  aZea mays  aAquisição de fósforo  aProteína quinase1 aCHEAVEGATTI-GANOTTO, A.1 aNEGRI, B. F.1 aHUFNAGEL, B.1 aSILVA, L. da C. e1 aMAGALHAES, J. V.1 aGARCIA, A. A. F.1 aLANA, U. G. P.1 aSOUSA, S. M. de1 aGUIMARAES, C. T.  tBMC Plant Biologygv. 15, n. 172, p. 1-17, 2015.