Marine bacteria have recently attracted increasing attention to be harnessed for the production of valuable enzymes, vitamins, and bioactive compounds. Bacteria associated with the surfaces of marine macroalgae, called epibionts, are particularly interes
The exon–intron structures of homologous genes are generally considered to have been conserved during the course of evolution (even among different phyla)17,18,19. Therefore, it is thought to be unusual for intron-loss events to frequently occur in a taxon. However, it has also been reported...
Various proteins and genes primarily having crucial roles in cell division are already mentioned as other important hub genes in multiple types and metastasis of breast cancer. On the other hand, uncontrolled cell division is an undeniable part of the “cancer” definition96. While CDC45 is indire...
Gene structures of TaMET1 genes. A) The two MET1 genes from rice (OsMET1a; [GenBank: Os03g58400] and OsMET1b; [GenBank: Os07g08500]) were used as a reference to define two MET1 lineages (hereafter called MET-1a and MET-1b lineages). OsMET1a and OsMET1b are shown at the ...
occurring through the formation of different skeletal structures mediated by PKS. At present, there are relatively few studies on PKS in basidiomycetes, mainly includingCoprinopsis cinerea[23],Antrodia cinnamomea[24],Laetiporus[25], andUstilago maydis[26]. These can synthesize different skeleton ...
Research on the transcriptome is essential for deciphering the functional elements of the genome and determining when they are expressed and how they are regulated. In the few years since its initial application, next-generation sequencing (NGS, also called high-throughput sequencing or deep ...
The expression status of the DEGs are illustrated in the Venn diagram shown in Figure 2C. Details of the included DEGs are provided in Additional files 3. DEGs between TGMS-Co27 and H1493 at high temperature To elucidate the gene network regulating the temperature-inducible male-sterility of ...
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As stated, statistical dependencies among genes are actually significant. On the technical side, undirected networks based on pairwise statistical dependencies, belong to a class of probabilistic graphical models called Markov random fields (MRFs). As such, MRFs are indeed “learning machines”. In ...
The limitation of this approach is that it first requires the generation of gene expression prediction models based on individual-level variant and transcriptome data, which are not publicly available for most of the 35 transcriptome studies included in our analysis. We used gene expression models ...