Characterization of open reading frame-expressed sequence tags generated from Bos indicus and B. taurus mammary gland cDNA libraries

Non-classical major histocompatibility complex class makes a crucial contribution to reproduction in the dairy cow

The aim of this study was to evaluate the effect of classical and non-classical major histocompatibility complex (MHC) on the reproduction in the dairy cow. Nine pairs of MHC-I genes were chosen according to their homology and possible function, and their transcription levels in maternal peripheral blood mononuclear cells (PBMCs) from all three trimesters and transcription levels in fetal tissues were compared to evaluate their contributions to cattle reproduction. The results showed that three non-classical genes were variably expressed in PBMCs of pregnant cows. MICB was downregulated in the first and second trimesters (P<0.05), but recovered back to the level in replacement heifers in the last trimester (P>0.05). BoLA-NC1* was upregulated in the first and last trimesters (P<0.001) but no different in the second trimester (P>0.05). BoLA-NC3* was upregulated in all trimesters (P<0.001). On the other hand, MICB was upregulated in fetal ear tissues (P<0.001), and BoLA-NC1* was almost silent in both fetal placenta and ear tissues (P<0.001); however, BoLA-NC3* was upregulated in both the fetal placenta and ear tissues (P<0.001). These results suggested that non-classical gene BoLA-NC1* increased maternal immunity against the fetus, which was inhibited by BoLA-NC3*. BoLA-NC3* also inhibited fetal autoimmunity. Apoptosis of the fetal placenta could reduce itself expressing MICB, and upregulated expression of MICB in ear tissues was favorable for the fetus to escape autoimmunity. On the other hand, downregulated expression of MICB in the fetal placenta allows for placental decoherence from the maternal placentome, which was beneficial to fetus delivery. Although classical genes were expressed differentially, their effects were restricted because of heavy chain deficiency.

Generation and analysis of expressed sequence tags from the bone marrow of Chinese Sika deer

Sika deer is one of the best-known and highly valued animals of China. Despite its economic, cultural, and biological importance, there has not been a large-scale sequencing project for Sika deer to date. With the ultimate goal of sequencing the complete genome of this organism, we first established a bone marrow cDNA library for Sika deer and generated a total of 2,025 reads. After processing the sequences, 2,017 high-quality expressed sequence tags (ESTs) were obtained. These ESTs were assembled into 1,157 unigenes, including 238 contigs and 919 singletons. Comparative analyses indicated that 888 (76.75%) of the unigenes had significant matches to sequences in the non-redundant protein database, In addition to highly expressed genes, such as stearoyl-CoA desaturase, cytochrome c oxidase, adipocyte-type fatty acid-binding protein, adiponectin and thymosin beta-4, we also obtained vascular endothelial growth factor-A and heparin-binding growth-associated molecule, both of which are of great importance for angiogenesis research. There were 244 (21.09%) unigenes with no significant match to any sequence in current protein or nucleotide databases, and these sequences may represent genes with unknown function in Sika deer. Open reading frame analysis of the sequences was performed using the getorf program. In addition, the sequences were functionally classified using the gene ontology hierarchy, clusters of orthologous groups of proteins and Kyoto encyclopedia of genes and genomes databases. Analysis of ESTs described in this paper provides an important resource for the transcriptome exploration of Sika deer, and will also facilitate further studies on functional genomics, gene discovery and genome annotation of Sika deer.

Using genomic approaches to unravel livestock (host)-tick-pathogen interactions

Ticks and tick-borne diseases are a major constraint on livestock farming in many developing countries, which has a huge impact on their economies. Genomic information is becoming more abundant for many of the species involved, which if exploited successfully could be used to develop new control strategies. Here, we review the genomic resources that are now available and discuss how this information is currently being harnessed or can be used in the future to explore the complex interplay that occurs between livestock hosts, tick vectors and tick-borne pathogens.