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1.
J Exp Bot ; 63(10): 3829-42, 2012 Jun.
Artigo em Inglês | MEDLINE | ID: mdl-22442422

RESUMO

The life cycle of flowering plants alternates between a predominant sporophytic (diploid) and an ephemeral gametophytic (haploid) generation that only occurs in reproductive organs. In Arabidopsis thaliana, the female gametophyte is deeply embedded within the ovule, complicating the study of the genetic and molecular interactions involved in the sporophytic to gametophytic transition. Massively parallel signature sequencing (MPSS) was used to conduct a quantitative large-scale transcriptional analysis of the fully differentiated Arabidopsis ovule prior to fertilization. The expression of 9775 genes was quantified in wild-type ovules, additionally detecting >2200 new transcripts mapping to antisense or intergenic regions. A quantitative comparison of global expression in wild-type and sporocyteless (spl) individuals resulted in 1301 genes showing 25-fold reduced or null activity in ovules lacking a female gametophyte, including those encoding 92 signalling proteins, 75 transcription factors, and 72 RNA-binding proteins not reported in previous studies based on microarray profiling. A combination of independent genetic and molecular strategies confirmed the differential expression of 28 of them, showing that they are either preferentially active in the female gametophyte, or dependent on the presence of a female gametophyte to be expressed in sporophytic cells of the ovule. Among 18 genes encoding pentatricopeptide-repeat proteins (PPRs) that show transcriptional activity in wild-type but not spl ovules, CIHUATEOTL (At4g38150) is specifically expressed in the female gametophyte and necessary for female gametogenesis. These results expand the nature of the transcriptional universe present in the ovule of Arabidopsis, and offer a large-scale quantitative reference of global expression for future genomic and developmental studies.


Assuntos
Proteínas de Arabidopsis/genética , Arabidopsis/genética , Perfilação da Expressão Gênica , Óvulo Vegetal/genética , Arabidopsis/crescimento & desenvolvimento , Arabidopsis/metabolismo , Proteínas de Arabidopsis/metabolismo , Regulação da Expressão Gênica no Desenvolvimento , Regulação da Expressão Gênica de Plantas , Sequenciamento de Nucleotídeos em Larga Escala , Óvulo Vegetal/crescimento & desenvolvimento , Óvulo Vegetal/metabolismo
2.
J Agric Food Chem ; 67(44): 12219-12227, 2019 Nov 06.
Artigo em Inglês | MEDLINE | ID: mdl-31613626

RESUMO

Quantification, using an accurate analytical approach, of capsinoids and capsaicinoids was performed on three chili pepper (Capsicum spp.) genotypes: "Chiltepín", "Tampiqueño 74", and "Bhut Jolokia" at various stages of fruit development. The accumulation of capsinoids, in all these peppers started between 10 to 20 days post-anthesis (dpa), increased and reached the highest capsinoid amount at 40 dpa, and then decreased until 60 dpa. Conversely, capsaicinoids could already be determined at 10 dpa in "Bhut Jolokia" and their accumulation pattern was different from that of the capsinoids in this genotype. The capsiate/dihydrocapsiate ratio presented a higher variation between genotypes and developmental stages than the capsaicin/dihydrocapsaicin ratio. Capsinoid ratios (4-24%) and Pun1/pAMT genotyping were determined. These results provide information on the progress of the accumulation of capsinoids in the aforementioned pungent and superhot cultivars and could support future breeding studies toward the understanding of the factors affecting their accumulation.


Assuntos
Capsaicina/análogos & derivados , Capsaicina/metabolismo , Capsicum/genética , Capsicum/metabolismo , Aromatizantes/metabolismo , Frutas/crescimento & desenvolvimento , Proteínas de Plantas/genética , Alelos , Sequência de Aminoácidos , Capsaicina/análise , Capsicum/química , Capsicum/crescimento & desenvolvimento , Aromatizantes/análise , Frutas/química , Frutas/genética , Frutas/metabolismo , Regulação da Expressão Gênica de Plantas , Genótipo , Proteínas de Plantas/química , Proteínas de Plantas/metabolismo , Alinhamento de Sequência
3.
Bioorg Med Chem ; 16(11): 5871-80, 2008 Jun 01.
Artigo em Inglês | MEDLINE | ID: mdl-18485714

RESUMO

Several pathogen parasite species show different susceptibilities to different antiparasite drugs. Unfortunately, almost all structure-based methods are one-task or one-target Quantitative Structure-Activity Relationships (ot-QSAR) that predict the biological activity of drugs against only one parasite species. Consequently, multi-tasking learning to predict drugs activity against different species by a single model (mt-QSAR) is vitally important. In the two previous works of the present series we reported two single mt-QSAR models in order to predict the antimicrobial activity against different fungal (Bioorg. Med. Chem.2006, 14, 5973-5980) or bacterial species (Bioorg. Med. Chem.2007, 15, 897-902). These mt-QSARs offer a good opportunity (unpractical with ot-QSAR) to construct drug-drug similarity Complex Networks and to map the contribution of sub-structures to function for multiple species. These possibilities were unattended in our previous works. In the present work, we continue this series toward other important direction of chemotherapy (antiparasite drugs) with the development of an mt-QSAR for more than 500 drugs tested in the literature against different parasites. The data were processed by Linear Discriminant Analysis (LDA) classifying drugs as active or non-active against the different tested parasite species. The model correctly classifies 212 out of 244 (87.0%) cases in training series and 207 out of 243 compounds (85.4%) in external validation series. In order to illustrate the performance of the QSAR for the selection of active drugs we carried out an additional virtual screening of antiparasite compounds not used in training or predicting series; the model recognized 97 out of 114 (85.1%) of them. We also give the procedures to construct back-projection maps and to calculate sub-structures contribution to the biological activity. Finally, we used the outputs of the QSAR to construct, by the first time, a multi-species Complex Networks of antiparasite drugs. The network predicted has 380 nodes (compounds), 634 edges (pairs of compounds with similar activity). This network allows us to cluster different compounds and identify on average three known compounds similar to a new query compound according to their profile of biological activity. This is the first attempt to calculate probabilities of antiparasitic action of drugs against different parasites.


Assuntos
Antiprotozoários/química , Antiprotozoários/uso terapêutico , Simulação por Computador , Desenho de Fármacos , Modelos Químicos , Relação Quantitativa Estrutura-Atividade , Animais , Bases de Dados Factuais , Resistência a Medicamentos , Leishmania donovani/efeitos dos fármacos , Leishmania mexicana/efeitos dos fármacos , Cadeias de Markov , Plasmodium falciparum/efeitos dos fármacos , Valor Preditivo dos Testes , Especificidade da Espécie , Integração de Sistemas , Trypanosoma brucei brucei/efeitos dos fármacos
4.
Plant Dis ; 85(3): 252-255, 2001 Mar.
Artigo em Inglês | MEDLINE | ID: mdl-30832037

RESUMO

Phaseolus vulgaris line A193 has been shown to be widely resistant to Colletotrichum lindemuthianum, including race 1472, one of the most virulent races of C. lindemuthianum characterized. Resistance to C. lindemuthianum race 1472 in P. vulgaris line A193 was investigated in segregating F2 and F2.3 populations from a cross between A193 and Flor de Mayo Bajio (a commercial cultivar highly susceptible to C. lindemuthianum). Resistance to 1472 in A193 was determined to be conditioned by a single dominant gene. Inoculation of crosses between A193 and cultivars Michigan Dark Red Kidney and Perry Marrow with race 1472 suggest that resistance in A193 is conditioned by the Co-1 gene. Inoculation of the cross A193 × Perry Marrow with C. lindemuthianum race 2, demonstrated that resistance to race 2 in Perry Marrow is also conditioned by a single dominant gene and is distinct to resistance in A193 or Michigan Dark Red Kidney. Three AFLP markers (ECAG/MACC-1, EACA/MAGA-2, EAGG/MAAC-8) linked in repulsion to the Co-1 locus were identified by screening the A193 × Flor de Mayo F2 population with 314 random amplified polymorphic DNA, amplified fragment length polymorphism, and restriction fragment length polymorphism markers. The two most closely linked markers should be useful in marker-assisted selection for Co-1.

5.
Plant Dis ; 88(2): 152-156, 2004 Feb.
Artigo em Inglês | MEDLINE | ID: mdl-30812421

RESUMO

The pathotypes of 17 isolates of Colletotrichum lindemuthianum from the central region of Mexico were characterized to determine the genetic relationship among isolates from this region and other regions of Mexico, and to evaluate the resistance present in the elite germ plasm collection of Phaseolus vulgaris at INIFAP. Eight pathotypes were identified, including pathotype 292, which is reported for the first time in Mexico. The lack of isolates infecting cultivar TU carrying the Co-5 resistance gene suggests that this cultivar is a useful source of resistance. Six pathotypes produced susceptible reactions on only differential cultivars of Middle American origin, one pathotype on a single cultivar of Andean origin, and one pathotype on cultivars of both Middle American and Andean origin. Comparison of amplified fragment length polymorphism (AFLP) genotypes of 21 isolates confirmed suggestions that populations of C. lindemuthianum are comprised of asexually reproducing clonal lineages. Analysis of five different pathotypes of C. lindemuthianum on 21 elite genotypes of P. vulgaris identified four genotypes from different races of P. vulgaris resistant to all five pathotypes. This information will allow breeders and farmers to select the resistant genotypes most suited to their needs.

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