Bioinformatic analysis of coding regions of Foxl2 gene among species

2012 ◽  
Vol 11 (21) ◽  
Author(s):  
Liying Zhang
Keyword(s):  
Bioinformatic Analysis ◽  
Coding Regions ◽  
Foxl2 Gene

Bioinformatic Analysis on Jellyfish Hematoxin

2009 ◽  
Vol 7 (2) ◽  
pp. 145-149 ◽  
Author(s):  
Chun-Lei OUYANG ◽  
Jia-Dong GAO ◽  
Yu-Kun REN ◽  
Liang XIAO ◽  
Qian-Qian WANG ◽  
...  
Keyword(s):  
Bioinformatic Analysis

New Nucleotide Polymorphisms in the BTC1 gene of Sugar Beet

2020 ◽  
Vol 36 (6) ◽  
pp. 49-54
Author(s):  
A.A. Nalbandyan ◽  
T.P. Fedulova ◽  
I.V. Cherepukhina ◽  
T.I. Kryukova ◽  
N.R. Mikheeva ◽  
...  
Keyword(s):  
Sugar Beet ◽  
Flowering Time ◽  
Molecular Genetic ◽  
Bioinformatic Analysis ◽  
Early Flowering ◽  
Nucleotide Polymorphisms ◽  
Nucleotide Substitutions ◽  
Time Control ◽  
Flowering Time Control ◽  
Exon 10

The flowering time control gene of various sugar beet plants has been studied. The BTC1 gene is a regulator for the suppressor (flowering time 1) and inducer (flowering time 2) genes of this physiological process. The F9/R9 primer pair was used for polymerase chain reaction; these primers are specific to the BTC1 gene region containing exon 9, as well as intron and exon 10. For the first time, nucleotide substitutions in exon 10 of BTC1 gene were identified in bolting sensitive samples (HF1 and BF1), which led to a change in the amino acid composition of the coded polypeptide chain. Based on the results of bioinformatic analysis, it can be assumed that certain nucleotide polymorphisms in the BTC1 gene may determine with a high probability the predisposition of sugar beet genotypes to early flowering. The use of the Geneious Prime tool for the analysis of the BTC1 gene sequences may allow the culling of genotypes prone to early flowering at early stages of selection. sugar beet, flowering gene, BTC1, genetic polymorphism, PCR, molecular genetic markers, selection

Proteomic and Bioinformatic Analysis of Trypanosoma cruzi Chemotherapy and Potential Drug Targets: New Pieces for an Old Puzzle

2014 ◽  
Vol 15 (3) ◽  
pp. 255-271 ◽  
Author(s):  
Rubem Sadok Menna-Barreto ◽  
Kele Belloze ◽  
Jonas Perales ◽  
Floriano Silva-Jr
Keyword(s):  
Trypanosoma Cruzi ◽  
Drug Targets ◽  
Bioinformatic Analysis ◽  
Potential Drug ◽  
Potential Drug Targets
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