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1.
Braz. arch. biol. technol ; 52(spe): 225-231, Nov. 2009. ilus, tab
Artigo em Inglês | LILACS | ID: lil-539870

RESUMO

Samples of Pectoralis major m. were collected, and an RT-PCR analysis of the a-Ryanodine receptor (a RYR) from chicken mRNA hotspot region spanning aminoacid residues 386 to 540, numbered according to the turkey sequence, revealed two classes of transcripts. The sequences of the first class were similar to turkey and human with 97 percent and 74 percent of identity, respectively, and included all transcripts with substitutions in the nucleotide sequence. The second class was characterized by the deletion of nucleotides, leading to a premature stop codon and coding for a truncated and nonfunctional protein. These results are to date the first report related to the sequencing of the chicken αRYR hotspot region 1, which will possibility serve as a guide for further studies regarding a solution in the poultry production chain related to the problem of pale, soft and exudative (PSE) meat.


Amostras do músculo Pectoralis major foram coletadas e uma RT-PCR foi conduzida para avaliar a sequência do mRNA do αRYR, região compreendida entre os resíduos de aminoácido 386-540, numerado de acordo com a sequência de perus. Os resultados revelaram duas classes de transcritos. O primeiro teve 97 por cento e 74 por cento de identidade com as sequências de αRyR e RyR1 de perus e humanos, respectivamente, e incluiu todos os transcritos com substituições de nucleotídeos. A segunda classe de transcritos foi caracterizada pela deleção de bases que levaram a um stop códon prematuro e a uma proteína truncada não-funcional. Esses resultados são até o momento, o primeiro relato de sequenciamento do αRYR, região hotspot1 de frangos e podem servir como guia para estudos futuros na tentativa de se encontrar uma solução para os problemas na cadeia de produção de frangos relacionados com as carnes PSE (pálida, flácida e exsudativa).

2.
Genet. mol. biol ; 31(2): 512-521, 2008. ilus, graf, tab
Artigo em Inglês | LILACS | ID: lil-484991

RESUMO

Drought cause serious yield losses in soybean (Glycine max), roots being the first plant organ to detect the water-stress signals triggering defense mechanisms. We used two drought induction systems to identify genes differentially expressed in the roots of the drought-tolerant soybean cultivar MG/BR46 (Conquista) and characterize their expression levels during water deficit. Soybean plants grown in nutrient solution hydroponically and in sand-pots were submitted to water stress and gene expression analysis was conducted using the differential display (DD) and real time polymerase chain reaction (PCR) techniques. Three differentially expressed mRNA transcripts showed homology to the Antirrhinum majus basic helix-loop-helix transcription factor bHLH, the Arabidopsis thaliana phosphatidylinositol transfer protein PITP and the auxin-independent growth regulator 1 (axi 1). The hydroponic experiments showed that after 100 min outside the nutrient solution photosynthesis completely stopped, stomata closed and leaf temperature rose. Both stress induction treatments produced significant decrease in the mitotic indices of root cells. Axi 1, PITP and bHLH were not only differentially expressed during dehydration in the hydroponics experiments but also during induced drought in the pot experiments. Although, there were differences between the two sets of experiments in the time at which up or down regulation occurred, the expression pattern of all three transcripts was related. Similar gene expression and cytological analysis results occurred in both systems, suggesting that hydroponics could be used to simulate drought detection by roots growing in soil and thus facilitate rapid and easy root sampling.

3.
Genet. mol. biol ; 30(1): 85-88, 2007. tab, graf
Artigo em Inglês | LILACS | ID: lil-445688

RESUMO

An understanding of the relationship of geographically different soybean gene pools, based on selectively neutral DNA markers would be useful for the selection of divergent parental cultivars for use in breeding. We assessed the relationships of 194 Chinese, 59 Japanese, and 19 Brazilian soybean cultivars (n = 272) using 12 simple sequence repeat (SSR) markers. Quantification Theory III and clustering analyses showed that the Chinese and Japanese cultivars were genetically quite distant to each other but not independent, while Brazilian cultivars were distantly related to the cultivars from the other two countries and formed a cluster that was distant from the other two gene pool clusters. Our results indicated that the Brazilian soybean gene pool is different from the Chinese and Japanese pool. Exchanges of these gene pools might be useful to increase the genetic variability in soybean breeding.

4.
Genet. mol. res. (Online) ; 3(4): 474-482, 2004. ilus
Artigo em Inglês | LILACS | ID: lil-410892

RESUMO

A lack of pliant software tools that support small- to medium-scale DNA sequencing efforts is a major hindrance for recording and using laboratory workflow information to monitor the overall quality of data production. Here we describe VSQual, a set of Perl programs intended to provide simple and powerful tools to check several quality features of the sequencing data generated by automated DNA sequencing machines. The core program of VSQual is a flexible Perl-based pipeline, designed to be accessible and useful for both programmers and non-programmers. This pipeline directs the processing steps and can be easily customized for laboratory needs. Basically, the raw DNA sequencing trace files are processed by Phred and Cross_match, then the outputs are parsed, reformatted into Web-based graphical reports, and added to a Web site structure. The result is a set of real time sequencing reports easily accessible and understood by common laboratory people. These reports facilitate the monitoring of DNA sequencing as well as the management of laboratory workflow, significantly reducing operational costs and ensuring high quality and scientifically reliable results.


Assuntos
Humanos , Análise de Sequência de DNA/normas , Software/normas , Sistemas de Gerenciamento de Base de Dados/normas , Controle de Qualidade , Análise de Sequência de DNA/métodos
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