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Registro Completo |
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Biblioteca(s): |
Embrapa Recursos Genéticos e Biotecnologia. |
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Data corrente: |
07/01/2010 |
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Data da última atualização: |
24/01/2023 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
MENDONÇA, G.; MENDONÇA, D. B. S.; SIMÕES, L. G. P.; ARAÚJO, A. L.; LEITE, E. R.; DUARTE, W. R.; ARAGAO, F. J. L.; COOPER, L. F. |
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Afiliação: |
UCB; UCB; UFSCAR; UFSCAR; UFSCAR; EBO; FRANCISCO JOSE LIMA ARAGAO, CENARGEN; UNIVERSITY OF NORTH CAROLINA. |
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Título: |
The effects of implant surface nanoscale features on osteoblast-specific gene expression. |
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Ano de publicação: |
2009 |
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Fonte/Imprenta: |
Biomaterials, v. 30, n. 25, p. 4053-4062, 2009. |
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DOI: |
doi:10.1016/j.biomaterials.2009.04.010 doi: 10.1016/j.biomaterials.2009.04.010 |
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Idioma: |
Português |
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Palavras-Chave: |
Dental implant; Nanotopography; Óxido de titânio; Óxido de zircônio; Surface treatment; Titanium oxide; Zirconium oxide. |
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Thesagro: |
Oxido de Alumínio. |
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Thesaurus Nal: |
aluminum oxide. |
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Categoria do assunto: |
-- |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/doc/579877/1/1-s2.0-S0142961209004116-main.pdf
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Marc: |
LEADER 00985naa a2200313 a 4500
001 1579877
005 2023-01-24
008 2009 bl uuuu u00u1 u #d
024 7 $adoi:10.1016/j.biomaterials.2009.04.010 doi: 10.1016/j.biomaterials.2009.04.010$2DOI
100 1 $aMENDONÇA, G.
245 $aThe effects of implant surface nanoscale features on osteoblast-specific gene expression.$h[electronic resource]
260 $c2009
650 $aaluminum oxide
650 $aOxido de Alumínio
653 $aDental implant
653 $aNanotopography
653 $aÓxido de titânio
653 $aÓxido de zircônio
653 $aSurface treatment
653 $aTitanium oxide
653 $aZirconium oxide
700 1 $aMENDONÇA, D. B. S.
700 1 $aSIMÕES, L. G. P.
700 1 $aARAÚJO, A. L.
700 1 $aLEITE, E. R.
700 1 $aDUARTE, W. R.
700 1 $aARAGAO, F. J. L.
700 1 $aCOOPER, L. F.
773 $tBiomaterials$gv. 30, n. 25, p. 4053-4062, 2009.
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Registro original: |
Embrapa Recursos Genéticos e Biotecnologia (CENARGEN) |
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 | Acesso ao texto completo restrito à biblioteca da Embrapa Milho e Sorgo. Para informações adicionais entre em contato com cnpms.biblioteca@embrapa.br. |
Registro Completo
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Biblioteca(s): |
Embrapa Milho e Sorgo. |
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Data corrente: |
26/08/2015 |
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Data da última atualização: |
19/02/2016 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
A - 1 |
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Autoria: |
AZEVEDO, G. C.; CHEAVEGATTI-GANOTTO, A.; NEGRI, B. F.; HUFNAGEL, B.; SILVA, L. da C. e; MAGALHAES, J. V.; GARCIA, A. A. F.; LANA, U. G. P.; SOUSA, S. M. de; GUIMARAES, C. T. |
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Afiliação: |
JURANDIR VIEIRA DE MAGALHAES, CNPMS; UBIRACI GOMES DE PAULA LANA, CNPMS; SYLVIA MORAIS DE SOUSA TINOCO, CNPMS; CLAUDIA TEIXEIRA GUIMARAES, CNPMS. |
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Título: |
Multiple interval QTL mapping and searching for PSTOL1 homologs associated with root morphology, biomass accumulation and phosphorus content in maize seedlings under low-P. |
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Ano de publicação: |
2015 |
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Fonte/Imprenta: |
BMC Plant Biology, v. 15, n. 172, p. 1-17, 2015. |
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DOI: |
10.1186/s12870-015-0561-y |
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Idioma: |
Inglês |
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Conteúdo: |
Background: 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. MenosBackground: 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 c... Mostrar Tudo |
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Palavras-Chave: |
Aquisição de fósforo; Proteína quinase. |
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Thesagro: |
Zea mays. |
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Categoria do assunto: |
-- |
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Marc: |
LEADER 03000naa a2200277 a 4500
001 2022698
005 2016-02-19
008 2015 bl uuuu u00u1 u #d
024 7 $a10.1186/s12870-015-0561-y$2DOI
100 1 $aAZEVEDO, G. C.
245 $aMultiple interval QTL mapping and searching for PSTOL1 homologs associated with root morphology, biomass accumulation and phosphorus content in maize seedlings under low-P.$h[electronic resource]
260 $c2015
520 $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.
650 $aZea mays
653 $aAquisição de fósforo
653 $aProteína quinase
700 1 $aCHEAVEGATTI-GANOTTO, A.
700 1 $aNEGRI, B. F.
700 1 $aHUFNAGEL, B.
700 1 $aSILVA, L. da C. e
700 1 $aMAGALHAES, J. V.
700 1 $aGARCIA, A. A. F.
700 1 $aLANA, U. G. P.
700 1 $aSOUSA, S. M. de
700 1 $aGUIMARAES, C. T.
773 $tBMC Plant Biology$gv. 15, n. 172, p. 1-17, 2015.
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