Genomic decoding of Theobroma grandiflorum (cupuassu) at chromosomal scale: evolutionary insights for horticultural innovation.

BACKGROUND: Theobroma grandiflorum (Malvaceae), known as cupuassu, is a tree indigenous to the Amazon basin, valued for its large fruits and seed pulp, contributing notably to the Amazonian bioeconomy. The seed pulp is utilized in desserts and beverages, and its seed butter is used in cosmetics. Here, we present the sequenced telomere-to-telomere genome of cupuassu, disclosing its genomic structure, evolutionary features, and phylogenetic relationships within the Malvaceae family. FINDINGS: The cupuassu genome spans 423 Mb, encodes 31,381 genes distributed in 10 chromosomes, and exhibits approximately 65% gene synteny with the Theobroma cacao genome, reflecting a conserved evolutionary history, albeit punctuated with unique genomic variations. The main changes are pronounced by bursts of long-terminal repeat retrotransposons at postspecies divergence, retrocopied and singleton genes, and gene families displaying distinctive patterns of expansion and contraction. Furthermore, positively selected genes are evident, particularly among retained and dispersed tandem and proximal duplicated genes associated with general fruit and seed traits and defense mechanisms, supporting the hypothesis of potential episodes of subfunctionalization and neofunctionalization following duplication, as well as impact from distinct domestication process. These genomic variations may underpin the differences observed in fruit and seed morphology, ripening, and disease resistance between cupuassu and the other Malvaceae species. CONCLUSIONS: The cupuassu genome offers a foundational resource for both breeding improvement and conservation biology, yielding insights into the evolution and diversity within the genus Theobroma.

Comparative analyses of Theobroma cacao and T. grandiflorum mitogenomes reveal conserved gene content embedded within complex and plastic structures.

Unlike the chloroplast genomes (ptDNA), the plant mitochondrial genomes (mtDNA) are much more plastic in structure and size but maintain a conserved and essential gene set related to oxidative phosphorylation. Moreover, the plant mitochondrial genes and mtDNA are good markers for phylogenetic, evolutive, and comparative analyses. The two most known species in Theobroma L. (Malvaceae s.l.) genus are T. cacao, and T. grandiflorum. Besides the economic value, both species also show considerable biotechnology potential due to their other derived products, thus, aggregating additional economic value for the agroindustry. Here, we assembled and compared the mtDNA of Theobroma cacao and T. grandiflorum to generate a new genomics resource and unravel evolutionary trends. Graph-based analyses revealed that both mtDNA exhibit multiple alternative arrangements, confirming the dynamism commonly observed in plant mtDNA. The disentangled assembly graph revealed potential predominant circular molecules. The master circle molecules span 543,794 bp for T. cacao and 501,598 bp for T. grandiflorum, showing 98.9% of average sequence identity. Both mtDNA contains the same set of 39 plant mitochondrial genes, commonly found in other rosid mitogenomes. The main features are a duplicated copy of atp4, the absence of rpl6, rps2, rps8, and rps11, and the presence of two chimeric open-reading frames. Moreover, we detected few ptDNA integrations mainly represented by tRNAs, and no viral sequences were detected. Phylogenomics analyses indicate Theobroma spp. are nested in Malvaceae family. The main mtDNA differences are related to distinct structural rearrangements and exclusive regions associated with relics of Transposable Elements, supporting the hypothesis of dynamic mitochondrial genome maintenance and divergent evolutionary paths and pressures after species differentiation.

Metagenomic Approaches to Analyze Antimicrobial Resistance: An Overview.

Antimicrobial resistance is a major global public health problem, which develops when pathogens acquire antimicrobial resistance genes (ARGs), primarily through genetic recombination between commensal and pathogenic microbes. The resistome is a collection of all ARGs. In microorganisms, the primary method of ARG acquisition is horizontal gene transfer (HGT). Thus, understanding and identifying HGTs, can provide insight into the mechanisms of antimicrobial resistance transmission and dissemination. The use of high-throughput sequencing technologies has made the analysis of ARG sequences feasible and accessible. In particular, the metagenomic approach has facilitated the identification of community-based antimicrobial resistance. This approach is useful, as it allows access to the genomic data in an environmental sample without the need to isolate and culture microorganisms prior to analysis. Here, we aimed to reflect on the challenges of analyzing metagenomic data in the three main approaches for studying antimicrobial resistance: (i) analysis of microbial diversity, (ii) functional gene analysis, and (iii) searching the most complete and pertinent resistome databases.