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1.
J Zhejiang Univ Sci B ; 8(5): 314-7, 2007 May.
Article in English | MEDLINE | ID: mdl-17542058

ABSTRACT

The protein encoded by CC chemokine receptor 7 (CCR7) is a member of the G protein-coupled receptor family. This receptor was identified as a gene induced by the Epstein-Barr virus (EBV), and is thought to be a mediator of EBV effects on B lymphocytes. This receptor is expressed in various lymphoid tissues and activates B and T lymphocytes. It has been shown to control the migration of memory T cells to inflamed tissues, as well as stimulate dendritic cell maturation. To map the CCR7 gene in chicken chromosome, a 6 000 rads chicken-hamster radiation hybrid panel (ChickRH6) was used. PCR of samples from ChickRH6 revealed that the location of CCR7 gene is linked to the maker SEQ0347 (6 cR away) with LOD score of 16.6 and that the marker SEQ0347 is located on chromosome 27 at 27 cR of RH (radiation hydrid) map. We compared the corresponding human mRNA sequence with the predicted coding sequence of chicken CCR7 gene, and found that the assembled contig shared a high percentage of similarity with that of the human gene.


Subject(s)
Chickens/genetics , Chromosomes/genetics , Radiation Hybrid Mapping/methods , Receptors, Chemokine/genetics , Sequence Analysis, DNA/methods , Animals , Base Sequence , Humans , Molecular Sequence Data , Receptors, CCR7 , Sequence Homology, Nucleic Acid
2.
Guang Pu Xue Yu Guang Pu Fen Xi ; 26(8): 1553-6, 2006 Aug.
Article in Chinese | MEDLINE | ID: mdl-17058971

ABSTRACT

A method for the determination of trace arsenic and mercury in antimony concentrates by hydride generation atomic fluorescence spectrometry was investigated. The method of dissolving sample and the effect of concomitant ion were studied. It was found that aqua regia can be used to dissolve the sample completely, with maximum quantities of dissolved arsenic and mercury. The interference of chemical elements in antimony concentrates was avoided by adding thiourea-Vc. The matrix of antimony was vaporized with tartaric acid during sample pre-treatment. Trace arsenic and mercury were determined in real samples. The detection limits of 0.220 ng x mL(-1) and 0.002 ng x mL(-1) were obtained, the relative standard deviations(RSD% = 11) are 1.47% and 0.52%, and the recoveries are 94.0%-103.0% and 98.7%-102.8% for As and Hg respectively. This method has proved rapid, accurate and highly sensitive.


Subject(s)
Antimony/chemistry , Arsenic/analysis , Mercury/analysis , Spectrometry, Fluorescence/methods , Spectrophotometry, Atomic/methods , Hydrochloric Acid/chemistry , Nitric Acid/chemistry , Reproducibility of Results
3.
Yi Chuan ; 28(7): 893-8, 2006 Jul.
Article in Chinese | MEDLINE | ID: mdl-16825180

ABSTRACT

Chicken is a main poultry in China. Molecular breeding for disease resistance plays an important role in the control of diseases, especially infectious diseases. Choice of genes for disease resistance is the key technology of molecular breeding. The MHC is of great interest to poultry breeding scientists for its extraordinary polymorphism and close relation with traits of resistance against infectious diseases. The article gives a detailed introduction about the association of MHC gene polymorphisms with traits of resistance against infectious diseases in chickens and looks towards the future of application of MHC in molecular breeding of chicken for disease resistance.


Subject(s)
Chickens/genetics , Immunity, Innate , Major Histocompatibility Complex , Polymorphism, Genetic , Poultry Diseases/genetics , Quantitative Trait, Heritable , Animals , Breeding , Chickens/immunology , Poultry Diseases/immunology , Poultry Diseases/microbiology , Poultry Diseases/virology
4.
Yi Chuan Xue Bao ; 30(10): 899-906, 2003 Oct.
Article in Chinese | MEDLINE | ID: mdl-14669505

ABSTRACT

Plant height (PH), heading date (HD) and productive panicle number (PN) are important agronomic trait in rice. Appropriate plant height, heading date and panicle number are prerequisites for the desired high and stable yield level in rice breeding programs. A recombinant inbred line (RIL) population consisting of 304 individuals was derived from a cross between indica varieties Zhong156 and Gumei2, from which a linkage map consisting of 168 RFLP, SSLP, RAPD and RGA markers that distribute on all the 12 rice chromosomes was constructed, and covers 1447.9 cM of the rice genome. The parents and 304 F9 lines were grown in the paddy field in China National Rice Research Institute (CNRRI), Hangzhou, China in 2001. The experiments were carried out in two seasons followed a randomized complete block design. QTLMapper 1.01 was applied to detect QTLs and QTL x environment (QE) interaction for HD (heading data), PH (plant height) and PN (panicle number), and conditional mapping for PH and PN was performed as well. A total of 15 QTLs with significant additive effects were detected, among which 4 QTLs had significant QE interaction. Ten QTLs with additive x additive epistatic effects for PH, HD and PN were detected, among which none showed significant epistatisis x environment interaction. These QTLs explained 12.12%, 1.38% and 5.00% of the total phenotypic variance for PH, HD and PN, respectively, and contributions were generally lower due to the strong epistatic effects. In conditional QTL analysis, the numbers of QTLs showing significant additive and epistatic effects were 7 and 6 for PH, and 3 and 3 for PN, respectively. Among the QTLs having significant additive effects for PH, qPH7-2 showed both additive effects and QE interaction, qPH7-1 and qPH10 showed QE interaction only, and the remaining 4 QTLs showed additive effects only. Each of the 3 QTLs having significant additive effects for PN did not display significant QE interaction. No epistatic QE interactions was detected. In addition, conditional QTL analysis indicated that the expression of QTLs for PH and PN may vary depending on the QTLs for HD.


Subject(s)
Chromosomes, Plant/genetics , Oryza/growth & development , Oryza/genetics , Quantitative Trait Loci , Breeding , Chromosome Mapping , Epistasis, Genetic , Gene Expression Regulation, Plant , Genetic Markers , Genome, Plant
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