Baobab Index

Climatic changes are heavily affecting the sustainability of vegetable crops crucial for food supply worldwide, mainly in subtropical countries. One of the main threats to food security is the spread of diseases caused by plant viruses, favored by irregular rains and extreme temperatures, which reduce crop yield and quality. During a preliminary field survey carried out in two provinces of Angola in 2024, a few symptomatic plants of tomato, habanero pepper, common bean and a wild weed were sampled. These plants generally showed dwarfing, yellowing and leaf curl and were submitted to high-throughput sequencing to detect any viral agent. The evidence of mixed infections of several polyphagous viruses with RNA or DNA genomes, variously affecting the selected plants, was assessed from the sequence analysis and further confirmed for most samples by molecular tests, like (RT)-PCR or qPCR. Emerging polero-, begomo and tobamoviruses were denoted as infecting these plants. A novel, previously unknown carlavirus was also described in a wild weed. Most of those viruses are efficiently mechanically transmitted or airborne vehiculated by insect vectors. Although based on a limited number of samples, this study provides a first insight into the diversity of viruses infecting vegetable crops in Angola. It also highlights the pressing need for a broader monitoring to better understand virus distribution and epidemiology, and suggests the use of virus-free seeds to reduce the potential risk to crop production.

Sorghum is a strategic food-security and livestock-feed crop in Africa, and molecular characterization of its germplasm underpins genetic diversity assessment and hybrid parent selection. This study evaluated 106 sorghum accessions (23 A-lines, 28 B-lines, 32 R-lines, and 23 hybrids) from ICRISAT and Seed Co gene banks using 79 single nucleotide polymorphism (SNP)-based Kompetitive Allele-Specific PCR (KASP) markers. Genetic diversity, population structure, cluster analysis, and analysis of molecular variance (AMOVA) were assessed to support heterotic grouping. Gene diversity ranged from 0.23 in R-lines to 0.32 in hybrids, and polymorphic information content from 0.19 to 0.26, indicating moderate marker discriminatory power. Population structure analysis identified an optimum of K = 3: Cluster 1 comprised paired A- and B-lines forming a putative maintainer pool, Cluster 2 was dominated by R-lines forming a divergent restorer pool, and Cluster 3 formed a second seed-parent subgroup. AMOVA confirmed highly significant differentiation (ΦST = 0.55;

(1) Background: The Hepatitis B virus (HBV) is characterized by extensive genetic diversity, including low-frequency variants that contribute to disease progression. We aimed to characterize low-frequency variants and evaluate their potential clinical impact. (2) Methods: We utilized 104 HBV near-full-length sequences generated using next-generation sequencing (NGS) from people living with HIV (PLHIV). We used an in-house bioinformatics suite (HBVgenomeR v5.9.7) to filter for low-frequency variants (5-50%), which were compared to escape and drug resistance mutations (DRMs) and hepatocellular carcinoma (HCC)-associated mutations reported at the consensus level. Unclassified variants were characterized by HBV open reading frames (ORFs) to determine mutation frequency per genomic region. (3) Results: A total of six escape mutations were detected in 8/104 (7.7%) sequences, with

Here we report the draft genome sequences of three

Genome sequencing has improved rare disease diagnosis and is now part of routine clinical care in the National Health Service in England. Automated prioritisation pipelines narrow millions of variants per patient to a small subset for clinical review, a process that relies on allele frequency resources that do not fully represent human genetic diversity. We assessed ancestry-related differences in variant prioritisation and diagnostic outcomes in patients from the UK 100,000 Genomes Project. We analysed 29,405 rare disease probands with genome sequencing and linked clinical outcomes data. We used multivariable regression to assess ancestry-related differences in the number of variants prioritised for clinical review, the proportion of prioritised variants that were recorded as diagnostic, and diagnostic yield. We also evaluated the use of ancestry-stratified allele frequency filters derived from an independent, diverse UK cohort (n = 33,724). Compared with the European ancestry group, the East African group had nearly three times more variants prioritised for clinical review (IRR 2.77, 95% CI 2.33-3.29). Other non-European groups also had significantly higher counts. Diagnostic yield was similar across ancestry groups after adjustment (LRT p = 0.1650). Prioritised variants were less likely to be recorded as diagnostic in East African (OR 0.32, 95% CI 0.22-0.46), West African (0.47, 0.39-0.57), South Asian (0.65, 0.58-0.73), and Middle Eastern (0.68, 0.54-0.86) groups. Applying ancestry-stratified allele-frequency filters removed 3.1% of prioritised variants overall-24.3% in the East African group-without loss of diagnostic sensitivity, including 29.5% of recorded VUS in this group. Differences in the likelihood of prioritised variants being recorded as diagnostic partly reflect limitations of current allele frequency resources, which use broad population groupings that mask within-group diversity. Increased representation of diverse ancestries in reference databases and better estimation of ancestry-appropriate allele frequencies will help reduce inefficiencies and improve equity in variant prioritisation for rare disease diagnosis. The UK Department of Health and Social Care and the EU's Horizon 2020 Research and Innovation Programme.

Zoonotic tuberculosis (TB) remains a persistent public health challenge worldwide. It is particularly common in settings with close human-livestock-environment interactions. In Tanzania, progress toward TB control is increasingly threatened by multidrug-resistant tuberculosis (MDR-TB), yet genomic data from regions characterized by pastoralist and mining activities remain scarce. This study employed whole-genome sequencing (WGS) to characterize This cross-sectional study was conducted between September 2024 and February 2025. A total of 178 presumptive human TB cases provided sputum samples. From cattle, 161 samples were collected (110 milk samples and 51 lymph node aspirates), with each animal contributing only one type of sample. Specimen were analyzed using GeneXpert MTB/RIF, Lowenstein-Jensen culture, and WGS. Phylogenetic reconstruction was performed using SNP-based methods and IQ-TREE2 version 2.2.0. Among human participants, 14 (7.8%) sputum samples were GeneXpert positive and were confirmed as members of MTBC by LJ culture. In cattle, one (0.62%) lymph node aspirate was positive for MTBC. Significant predictors of MTBC positivity included previous TB history, weight loss, and occupation involving mining and cattle keeping. WGS of five human isolates identified Lineages 1, 3, and 4. One isolate (Sample 98) harbored mutations associated with XDR-TB. WGS revealed