Abstract
The basic helix–loop–helix (bHLH) transcription factors (TFs) form a huge superfamily and play crucial roles in many essential developmental, genetic, and physiological–biochemical processes of eukaryotes. In total, 109 putative bHLH TFs were identified and categorized successfully in the genomic databases of cattle, Bos Taurus, after removing redundant sequences and merging genetic isoforms. Through phylogenetic analyses, 105 proteins among these bHLH TFs were classified into 44 families with 46, 25, 14, 3, 13, and 4 members in the high-order groups A, B, C, D, E, and F, respectively. The remaining 4 bHLH proteins were sorted out as ‘orphans.’ Next, these 109 putative bHLH proteins identified were further characterized as significantly enriched in 524 significant Gene Ontology (GO) annotations (corrected P value ≤ 0.05) and 21 significantly enriched pathways (corrected P value ≤ 0.05) that had been mapped by the web server KOBAS 2.0. Furthermore, 95 bHLH proteins were further screened and analyzed together with two uncharacterized proteins in the STRING online database to reconstruct the protein–protein interaction network of cattle bHLH TFs. Ultimately, 89 bHLH proteins were fully mapped in a network with 67 biological process, 13 molecular functions, 5 KEGG pathways, 12 PFAM protein domains, and 25 INTERPRO classified protein domains and features. These results provide much useful information and a good reference for further functional investigations and updated researches on cattle bHLH TFs.
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We are grateful to the anonymous reviewers for their suggestions. This work is supported by National Natural Science Foundation of China (No. 31301965), 2014 Annual Anhui Provincial Project of Outstanding Young Talents Fund in Colleges and Universities (No.[2014]181), and Anhui Provincial Educational Commission Natural Science Foundation (No. KJ2016SD47).
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Li, F., Liu, W. Genome-wide identification, classification, and functional analysis of the basic helix–loop–helix transcription factors in the cattle, Bos Taurus . Mamm Genome 28, 176–197 (2017). https://doi.org/10.1007/s00335-017-9683-x
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DOI: https://doi.org/10.1007/s00335-017-9683-x