What Genomic Sequence Information Has Revealed About Vibrio Ecology in the Ocean—A Review

2009 ◽  
Vol 58 (3) ◽  
pp. 447-460 ◽  
Author(s):  
Darrell Jay Grimes ◽  
Crystal N. Johnson ◽  
Kevin S. Dillon ◽  
Adrienne R. Flowers ◽  
Nicholas F. Noriea ◽  
...  
2015 ◽  
Author(s):  
Sam Penglase ◽  
Kristin Hamre ◽  
Ståle Ellingsen

Selenoprotein P (SEPP1) distributes selenium (Se) throughout the body via the circulatory system. The Se content of SEPP1 varies from 7 to 18 Se atoms depending on the species, but the reason for this variation remains unclear. Herein we provide evidence that vertebrate SEPP1 Sec content correlates positively with Se requirements (R2=0.88). As the Se content of full length SEPP1 is genetically determined, this presents a unique case where a nutrient requirement can be predicted based on genomic sequence information.


Author(s):  
Rose G. Mage ◽  
Claire Rogel-Gaillard

Abstract This chapter on immunogenetics in the rabbit focused on some genes with genetic and genomic sequence information including those encoding: soluble circulating immunoglobulin molecules (Igs) and their surface-bound forms on B lymphocytes (BCRs); T-cell receptors on T lymphocyte surfaces, (TCRs); the rabbit Leukocyte Antigen (RLA) complex (proteins on cells that function to present antigen fragments to TCRs); and some cytokine genes that encode key regulators of T- and B-cell responses.


2013 ◽  
Vol 22 (8) ◽  
pp. 964-968 ◽  
Author(s):  
Leila Jamal ◽  
Julie C Sapp ◽  
Katie Lewis ◽  
Tatiane Yanes ◽  
Flavia M Facio ◽  
...  

2015 ◽  
Author(s):  
Sam Penglase ◽  
Kristin Hamre ◽  
Ståle Ellingsen

Selenoprotein P (SEPP1) distributes selenium (Se) throughout the body via the circulatory system. The Se content of SEPP1 varies from 7 to 18 Se atoms depending on the species, but the reason for this variation remains unclear. Herein we provide evidence that vertebrate SEPP1 Sec content correlates positively with Se requirements (R2=0.88). As the Se content of full length SEPP1 is genetically determined, this presents a unique case where a nutrient requirement can be predicted based on genomic sequence information.


2018 ◽  
Vol 16 (5) ◽  
pp. 368-376 ◽  
Author(s):  
Michael Halewood ◽  
Isabel Lopez Noriega ◽  
Dave Ellis ◽  
Carolina Roa ◽  
Mathieu Rouard ◽  
...  

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