کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
1975817 | 1060656 | 2009 | 6 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Single nucleotide polymorphisms within the estrogen receptor beta gene are linked with reproductive indices in Japanese flounder, Paralichthys olivaceus
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کلمات کلیدی
موضوعات مرتبط
علوم زیستی و بیوفناوری
بیوشیمی، ژنتیک و زیست شناسی مولکولی
زیست شیمی
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چکیده انگلیسی
The objectives of this study were to characterize polymorphisms within the coding region of estrogen receptor β (ERβ) gene in a population of 57 female Japanese flounder (Paralichthys olivaceus) and to analyze the association of ERβ polymorphisms with reproductive indices by polymerase chain reaction single-strand conformation polymorphism (PCR-SSCP). Two single nucleotide polymorphisms (SNPs), SNP1 (c.577delC) and SNP2 [c.A891T (p.Gln114Leu)], were identified in the ERβ gene. A one-way ANOVA revealed that SNP1 was significantly associated with the gonadosomatic index (GSI) in female Japanese flounder (P < 0.05). And SNP2 was significantly associated with the serum 17β-estradiol (E2) level and GSI (P < 0.05). Individuals with genotype AB of SNP2 had significantly higher serum E2 level and GSI than those of genotype AA (P < 0.05). Moreover, the hepatosomatic index (HSI), a marker for genetic effects, was significantly higher for diplotype D2 compared with the other three diplotypes (P < 0.05). These results obtained in this study suggested that SNP2 could influence reproductive endocrinology of female Japanese flounder and be useful as a potential candidate genetic marker for the selection of reproductive indices in female Japanese flounder.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Comparative Biochemistry and Physiology Part B: Biochemistry and Molecular Biology - Volume 154, Issue 1, September 2009, Pages 62-67
Journal: Comparative Biochemistry and Physiology Part B: Biochemistry and Molecular Biology - Volume 154, Issue 1, September 2009, Pages 62-67
نویسندگان
Bao Shi, Hai Shen Wen, Feng He, Shuang Lin Dong, Shen Ma, Cai Fang Chen, Xiao Yan Chen, Jia Ren, Zhang Zhang, Guo Xiong Jin,