Biology subjects

de Almeida, F. A. N.

Publications and source records attributed to de Almeida, F. A. N..

3 recordsLinked to original sources

bioRxiv2026

A haplotype-resolved, near telomere-to-telomere genome assembly of the desiccation-tolerant plant Vellozia tubiflora

Vegetative desiccation tolerance allows plants to survive the loss of up to 95% of their cellular water content and recover upon rehydration. The family Velloziaceae contains the largest number of desiccation-tolerant species among flowering plants, yet genomic resources for this lineage remain extremely limited. Here we report the first reference genome of the genus Vellozia, the most species-rich genus of the family. Using PacBio HiFi sequencing and Omni-C chromatin conformation data, we generated a haplotype-resolved genome assembly of Vellozia tubiflora with near telomere-to-telomere continuity. Hap1 and Hap2 span 423.2 Mb and 426.4 Mb, respectively, with both assemblies successfully anchored into nine chromosome-length scaffolds. The former presents a scaffold N50 of 49.8 Mb and 96.5% BUSCO completeness, while the latter reaches 50.0 Mb and 96.8%. Genome annotation predicted 23,352 and 23,549 protein-coding genes in Hap1 and Hap2, respectively. This resource is anticipated to foster new insights for comparative and evolutionary studies of vegetative desiccation tolerance across angiosperms and expands the genomic representation of plants from the Brazilian campos rupestres, a threatened biodiversity hotspot characterized by extreme environmental conditions.

plant biology↗

bioRxiv2026

High-Resolution Melting Analysis of Chloroplast Markers for Species Authentication and Fraud Detection in Commercial Acai and Jucara Products

Authentication of acai products is increasingly important due to the risk of species substitution among morphologically similar Euterpe taxa, with implications for food quality, labeling accuracy, and consumer trust. Despite advances in molecular methods, rapid and cost-effective tools for discriminating closely related Euterpe species in processed commercial matrices remain limited. This study evaluated High-Resolution Melting (HRM) analysis targeting two complementary chloroplast markers -- psbK-I and ycf1b -- as a practical approach for species-level authentication of acai (Euterpe oleracea and E. precatoria) and jucara (E. edulis) products. In silico specificity analysis confirmed that the ycf1b primer pair shows amplification restricted to the Arecaceae family, supporting the analytical robustness of the method. The combined markers enabled reliable differentiation of all target species, including closely related taxa, with a detection limit of approximately 10% in admixed samples. When applied to 50 commercial products, HRM successfully authenticated 46 samples, substantially outperforming DNA sequencing, which was limited by amplification failure and mixed chromatograms. Mislabeling was detected in one acai sorbet and three frozen acai pulps marketed as acai but molecularly identified as E. edulis, constituting a violation of Brazilian food labeling regulations. These findings demonstrate that HRM analysis provides a robust, rapid, and scalable strategy for routine species authentication in processed plant-based matrices, with potential for integration into food quality control workflows and large-scale commercial monitoring programs.

genomics↗

bioRxiv2022

Single and Multi-trait Genomic Prediction for agronomic traits in Euterpe edulis

Popularly known as jucaizeiro, Euterpe edulis has been gaining prominence in the fruit growing sector and has demanded the development of superior genetic materials. As it is a native species and still little studied, the application of more sophisticated techniques can result in higher gains with less time. Until now, there are no studies that apply genomic prediction for this crop, especially in multi-trait analysis. In this sense, this study aimed to apply new methods and breeding techniques for the jucaizeiro, to optimize this breeding program through the application of genomic selection. This data consisted of 275 jucaizeiro genotypes from a population of Rio Novo do Sul-ES, Brazil. The genomic prediction was performed using the multi-trait (G-BLUP MT) and single-trait (G-BLUP ST) models and the selection of superior matrices was based on the selection index of Mulamba and Mock. Similar results for predictive ability were observed for both models. However, the G-BLUP ST model provided greater selection gains when compared to the G-BLUP MT. For this reason, the genomic estimated breeding values (GEBVs) from the G-BLUP ST were used to select the six superior genotypes (UFES.A.RN.390, UFES.A.RN.386, UFES.A.RN.080, UFES.A.RN.383, UFES.S.RN.098, and UFES.S.RN.093), to provide superior genetic materials for the development of seedlings and implantation of productive orchards, which will meet the demands of the productive, industrial and consumer market. Key messageIn the first genomic selection study for Euterpe edulis, substantial gains for multiple traits of fruit production was reported. This is a key factor for the sustainable use of the species in the Atlantic Forest.

genetics↗