Infuenza-specific Amino Acid Substitution Model

Author(s):  
Dang Cao Cuong ◽  
Le Si Quang ◽  
Le Sy Vinh
1992 ◽  
Vol 1 (2) ◽  
pp. 216-226 ◽  
Author(s):  
John Overington ◽  
Dan Donnelly ◽  
Mark S. Johnson ◽  
Andrej Šali ◽  
Tom L. Blundell

2020 ◽  
Author(s):  
Huihui Chang ◽  
Yimeng Nie ◽  
Nan Zhang ◽  
Xue Zhang ◽  
Huimin Sun ◽  
...  

Abstract Background Amino acid substitution models play an important role in inferring phylogenies from mitochondrial proteins. Although different amino acid substitution models have been proposed, only a few were estimated from mitochondrial protein sequences for specific taxa such as the mtArt model for Arthropoda. The increasing of mitochondrial genome data from broad Orthoptera taxa provides an opportunity to estimate the Orthoptera-specific mitochondrial amino acid empirical model. Results We sequenced complete mitochondrial genomes of 54 Orthoptera species, and then estimated an amino acid substitution model (named mtOrt) by maximum likelihood method based on the 283 complete mitochondrial genomes available currently. The results indicated that there are obvious differences between mtOrt and the existing model, and the new model can better fit the Orthoptera mitochondrial protein datasets. Moreover, topologies of trees constructed using mtOrt and existing models are frequently different. MtOrt does indeed have an impact on likelihood improvement as well as tree topologies. The comparisons between the topologies of trees constructed using mtOrt and existing models show that the new model outperforms the existing models in inferring phylogenies from Orthoptera mitochondrial protein data. Conclusions The new mitochondrial amino acid substitution model of Orthoptera shows obvious differences from the existing models, and outperforms the existing models in inferring phylogenies from Orthoptera mitochondrial protein sequences.


Blood ◽  
2007 ◽  
Vol 110 (11) ◽  
pp. 44-44 ◽  
Author(s):  
Takakazu Kawase ◽  
Keitaro Matsuo ◽  
Koichi Kashiwase ◽  
Hidetoshi Inoko ◽  
Hiroh Saji ◽  
...  

Abstract Graft-versus-leukemia (GVL) effect is considered to reduce relapse rate due to eradication of residual leukemia cells after allogeneic hematopoietic stem cell transplantation (HSCT). Segregation it from graft-versus-host disease (GVHD) has been main issue clinically. We recently clarified 16 high-risk HLA mismatch combinations and eight high-risk specific amino acid substitution positions for severe acute GVHD in six HLA loci. In the current study, we clarified HLA allele mismatch combinations and amino acid substitution positions associated with GVL effect. Consecutive 4643 patients transplanted for hematological malignancy (ALL, AML, CML, MDS, MM and ML) with T cell replete marrow from a serologically HLA-A, -B and -DR antigen-matched donor through Japan Marrow Donor Program were registered in this cohort study. All HLA-A, -B, -C, -DRB1, -DQB1 and -DPB1 alleles were retrospectively typed. The effect of HLA locus mismatch in allele level, the HLA allele mismatch combinations in HLA six loci and amino acid substitution positions on reduced relapse rate was analyzed using a multivariable competing risk regression model. As results (1) Mismatches of HLA-C (Odds ratio (OR)=0.69; p<0.0001) and HLA-DPB1 (OR=0.78; p<0.0001) were strongly reduced leukemia relapse, and HLA-A (OR=0.99; p=0.9), HLA-B (OR=0.98; p=0.91), HLA-DRB1 (OR=0.93; p=0.54) and HLA-DQB1 (OR=1.06; p=0.54) were not. (2) Total 10 HLA mismatch combinations were significantly associated with GVL effect; four in HLA-C allele (donor Cw*0303- patient Cw*1502 (n=25) OR=0.23, Cw*0102-Cw*1402 (n=16) OR=0, Cw*0801-Cw*0102 (n=10) OR=0 and Cw*1402-Cw*0304 (n=23) OR=0), six in HLA-DPB1 allele (DP*0402-DP*0201 (n=66) OR=0.41,?DP*0501-DP*0201 (n=351) OR=0.7,?DP*0501-DP*0401 (n=53) OR=0.45,?DP*0501-DP*0402?(n=121) OR=0.59, DP*0901-DP*0201 (n=50) OR=0.38 and DP*1301-DP*0201 (n=21) OR=0), but none in HLA-A, -B, -DRB1 and -DQB1 allele. Except two of four combinations in HLA-C, the other two in HLA-C and all six in HLA-DPB1 were different from high-risk one for severe acute GVHD. (3) Specific amino acid substitution at positions 9, 99, 156 in HLA-C molecule was elucidated as significant factors responsible for GVL effect and one of three was different from substitutions responsible for severe acute GVHD. As for HLA-DPB1, no significant association between the positions of specific amino acid substitution and GVL were found. In conclusion, large scale comprehensive analysis made it possible to identify 4 HLA-C and 6 HLA-DPB1 mismatch combinations responsible for GVL effects, some of which are different from one responsible for acute GVHD. Responsible amino acid substitutions on specific position were also elucidated in HLA-C, but not in HLA-DPB1. These findings suggest that donor selection according to these results could segregate GVL from acute GVHD, therefore these strategies might be beneficial for the selection of suitable donor for HSCT. And that, we speculate that the molecular base of GVL caused by the HLA-DPB1 mismatch might be different from that in HLA-C.


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