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Biology subjects

Gomes, M. S.

Publications and source records attributed to Gomes, M. S..

3 recordsLinked to original sources

The floral development of the allotetraploid Coffea arabica L. correlates with a small RNA dynamic reprogramming.

O_LINon-coding and coding RNAs are key regulators of plant growth, development, and stress responses. To investigate the types of transcripts accumulated during the vegetative to reproductive transition and floral development in the Coffea arabica L., we sequenced small RNA libraries from eight developmental stages, up to anthesis. C_LIO_LIWe combined this data with messenger RNA and PARE sequencing of two important development stages that marks the transition of an apparent latent to a rapid growth stage. In addition, we took advantage of multiple in silico tools to characterize genomic loci producing small RNAs such as phasiRNAs, miRNAs and tRFs. C_LIO_LIOur differential and co-expression analysis showed that some types of small RNAs such as tRNAs, snoRNAs, snRNAs and phasiRNAs preferentially accumulate in a stage- specific manner. C_LIO_LIMembers of the miR482/miR2118 superfamily and their 21-nucleotide phasiRNAs originating from resistance genes show a robust co-expression pattern that is maintained across all the evaluated developmental stages. Finally, the majority of miRNAs accumulate in a family-stage specific manner, related to modulated hormonal responses and transcription factors expression. C_LI Societal Impact StatementThis research holds potential to benefit millions of coffee-producing families in over 60 countries. We uncovered molecular regulatory mechanisms governing flower development, one of the causes for the Coffea arabicas uneven ripening. The absence of uniformity in coffee production, spanning from floral induction to branch senescence, has a detrimental impact on the final products quality. These insights will inform strategies for controlled coffee maturation, leading to improved, uniform harvests.

plant biology↗

Serum Amyloid A proteins reduce bone mass during mycobacterial infections

Osteopenia has been associated to several inflammatory conditions, including mycobacterial infections. How mycobacteria cause bone loss remains elusive, but direct bone infection may not be required. Using genetically engineered mice and morphometric, transcriptomic and functional analyses, we found that infection with Mycobacterium avium impacts bone turnover by decreasing bone formation and increasing bone resorption, in a IFNg- and TNFa-dependent manner. IFNg produced during infection enhanced macrophage TNFa secretion, which in turn increased the production of serum amyloid A (SAA) 3. Saa3 expression was upregulated in the bone of both M. avium- and Mycobacterium tuberculosis-infected mice and SAA proteins were increased in the serum of patients with active tuberculosis. Furthermore, the increased SAA levels seen in active tuberculosis patients correlated with altered serum bone turnover markers. Additionally, human SAA proteins impaired bone matrix deposition and increased osteoclastogenesis in vitro. Overall, we report a novel crosstalk between the cytokine network operating in macrophages and bone homeostasis and disclose SAA proteins as potential biomarkers of bone loss during infection by mycobacteria.

immunology↗

A distinct fingerprint of inflammatory mediators and miRNAs in Plasmodium vivax severe thrombocytopenia

BackgroundSevere thrombocytopenia can be a determinant factor in the morbidity of Plasmodium vivax (Pv), the most widespread human malaria. Although immune mechanisms may drive Pv-induced severe thrombocytopenia (PvST), the current data on the cytokine landscape in PvST is scarce, and often conflicting. The analysis of the bidirectional circuit of inflammatory mediators and miRNAs would lead to a better understanding of the mechanisms underlying PvST. MethodsWe combined Luminex proteomics, NanoString miRNA quantification, and machine learning, to evaluate an extensive array of plasma mediators in uncomplicated Pv patients, whose blood platelet counts varied from reference values to PvST. ResultsUnsupervised clustering analysis identified PvST-linked signatures comprised of both inflammatory (CXCL10, CCL4, and IL-18) and regulatory (IL-10, IL-1Ra, HGF) mediators. As part of PvST signatures, IL-6 and IL-8 were critical to discriminate Pv subgroups, while CCL2 and IFN-{gamma} from healthy controls. Supervised machine learning spotlighted IL-10 in Pv-mediated thrombocytopenia, and provided evidence for a potential signaling route involving IL-8 and HGF. Finally, we identified a set of miRNAs capable of modulating these signaling pathways. ConclusionsThe results place IL-10 and IL-8/HGF in the center of PvST and propose investigating these signaling pathways across the spectrum of malaria infections.

microbiology↗