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Tuberculosis (TB) is caused by Mycobacterium tuberculosis (Mtb), leading to pulmonary and extrapulmonary TB, whereby Mtb is disseminated to many other organs and tissues. Dissemination occurs early during the disease, and bacteria can be found first in the lymph nodes adjacent to the lungs and then later in the extrapulmonary organs, including the spleen. The early global gene expression response of human tissue macrophages and intracellular clinical isolates of Mtb has been poorly studied. Using dual RNA-seq, we have explored the mRNA profiles of two closely related clinical strains of the Latin American and Mediterranean (LAM) family of Mtb in infected human splenic macrophages (hSMs). This work shows that these pathogens mediate a distinct host response despite their genetic similarity. Using a genome-scale host–pathogen metabolic reconstruction to analyze the data further, we highlight that the infecting Mtb strain also determines the metabolic response of both the host and pathogen. Thus, macrophage ontogeny and the genetic-derived program of Mtb direct the host–pathogen interaction.

Spiders (Araneae) are the most abundant terrestrial predators and megadiverse on earth. In recent years, the mitochondrial genome of a great diversity of species has been sequenced, mainly for ecological and commercial purposes. These studies have uncovered the existence of a variety of mitochondrial genome rearrangements. However, there is poor genetic information in several taxonomic families of spiders. We have sequenced the complete genome of Phoneutria depilata (Ctenidae) and, based on this, extract the mitogenomes of other ctenid species from published transcriptomes to perform a comparative study among spider species to determine the relationship between the level of mitochondrial rearrangements and its possible relationship with molecular variability in spiders. Complete mitochondrial genomes of eighteen spiders (including eight Ctenidae species) were obtained by two different methodologies (sequencing and transcriptome extraction). Fifty-eight spider mitochondrial genomes were downloaded from the NCBI database for gene order analysis. After verifying the annotation of each mitochondrial gene, a phylogenetic and a gene order analysis from 76 spider mitochondrial genomes were carried out. Our results show a high rate of annotation error in the published spider mitochondrial genomes, which could lead to errors in phylogenetic inference. Moreover, to provide new mitochondrial genomes in spiders by two different methodologies to obtain them, our analysis identifies six different mitochondrial architectures among all spiders. Translocation or tandem duplication random loss (TDRL) events in tRNA genes were identified to explain the evolution of the spider mitochondrial genome. In addition, our findings provide new insights into spider mitochondrial evolution.