immune gene expression
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Author(s):  
Annabelle M. Watts ◽  
Nicholas P. West ◽  
Peter K. Smith ◽  
Ping Zhang ◽  
Allan W. Cripps ◽  
...  

2021 ◽  
pp. 106823
Author(s):  
Monika Mochol ◽  
Paul Whatmore ◽  
Erik Taubøll ◽  
Cecilie Johannessen Landmark ◽  
Erik Ropstad ◽  
...  

2021 ◽  
Vol 99 (Supplement_3) ◽  
pp. 189-190
Author(s):  
Godstime A Taiwo ◽  
Ibukun M Ogunade

Abstract We examined the effects of dietary supplementation of a blend of mannan and glucan on the growth performance, diet digestibility, and whole-blood immune gene expression of newly weaned beef steers during a 42-d receiving period. Forty-eight newly weaned Angus crossbred steers (2 d post-weaning; 199 ± 13 kg of initial BW) were randomly assigned to 1 of 2 treatments: basal diet with no additive (CON; n = 24) or a basal diet top-dressed with 5 g of a blend of mannan and glucan (MANGLU; n = 24). Average daily gain (ADG) was calculated from weekly BW. Blood samples were collected on days 0, 14, and 42 for measurement of plasma glucose and NEFA. Expression of 84 immune-related genes was analyzed on blood samples collected on day 42. Beginning on days 37 to 42, total mixed ration, refusals, and fecal samples were collected once daily to determine apparent total tract digestibility of DM, CP, NDF, and ADF using indigestible NDF as an internal marker. Immune gene expression data was analyzed using a GeneGlobe Data Analysis Center. All other data were analyzed as a randomized complete block design using the GLIMMIX procedure of SAS. Over the 42-d feeding trial, MANGLU tended to increase final BW (P = 0.07) and ADG (P = 0.06). Compared to CON, beef steers fed supplemental MANGLU had greater DM digestibility (P = 0.03) and tended to have greater NDF digestibility (P = 0.09). No treatment effects (P > 0.10) on plasma glucose and NEFA on d 14 and 42 were detected. Compared with CON, MANGLU increased (P ≤ 0.05) the expression of five immune-related genes involved in recognition of and mounting immune defense against microbial pathogens. In conclusion, this study demonstrated that supplemental MANGLU enhances beef cattle immunocompetence and productivity during feedlot receiving period.


2021 ◽  
Author(s):  
Jannik Sven Moellmann ◽  
Thomas Joseph Colgan

Insect pollinators provide crucial ecosystem services yet face increasing environmental pressures. The challenges posed by novel and reemerging pathogens on bee health means we need to improve our understanding of the immune system, an important barrier to infections and disease. Despite its importance, for certain ecologically important species, such as solitary bees, our understanding of the genomic basis and molecular mechanisms underlying immune potential, and how intrinsic and extrinsic factors may influence immune gene expression is lacking. Here, to improve our understanding of the genomic architecture underlying immunity of a key solitary bee pollinator, we characterised putative immune genes of the red mason bee, Osmia bicornis. In addition, we used publicly available RNA-seq datasets to determine how sexes differ in immune gene expression and splicing but also how pesticide exposure may affect immune gene expression in females. Through comparative genomics, we reveal an evolutionary conserved set of more than 500 putative immune-related genes. We found genome-wide patterns of sex-biased gene expression, including immune genes involved in antiviral-defence. Interestingly, the expression of certain immune genes were also affected by exposure to common neonicotinoids, particularly genes related to haemocyte proliferation. Collectively, our study provides important insights into the gene repertoire, regulation and expression differences in the sexes of O. bicornis, as well as providing additional support for how neonicotinoids can affect immune gene expression, which may affect the capacity of solitary bees to respond to pathogenic threats.


2021 ◽  
Vol 40 (10) ◽  
pp. 686-691
Author(s):  
Sung-Ha Lee ◽  
Steven W. Cole ◽  
Jiyoung Park ◽  
Incheol Choi

2021 ◽  
Vol Publish Ahead of Print ◽  
Author(s):  
Chun-Hu Wang ◽  
Meng-Jie Shan ◽  
Hao Liu ◽  
Yan Hao ◽  
Ke-Xin Song ◽  
...  

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