Population structure, genetic diversity and global migration of the banana Fusarium wilt pathogen, Fusarium oxysporum f. sp. cubense tropical race 4
Wicker, E. P.; Matthews, M. C.; Ravel, S.; Aguayo, J.; Fabre, S.; Adjanoh-Lubin, N.; Lopez-Roques, C.; Sabban, J.; LLEDO, J.; Raman, T.; O'Neill, W.; Alkaabi, S. M.; Elkakhy, M.; Li, C.; Liu, S.; Yi, G.; Amisse, J.; Coetzee, B.; Viljoen, A.; Mostert, D.
Show abstract
O_LIThe current epidemic of banana Fusarium wilt is caused by Fusarium oxysporum f. sp. cubense tropical race 4 (Foc TR4). Foc TR4 originates in Asia and was first reported in the early 1990s, whereafter it was restricted to five Asian countries and the Northern Territory of Australia for two decades. Since 2013, the fungus was detected in the Middle East, the Indian subcontinent, Africa and Latin America. Its recent spread may be caused by the expansion of Cavendish banana production and the movement of contaminated planting materials. C_LIO_LIWhole genome sequences of 119 Foc TR4 isolates were compared based on single nucleotide polymorphisms (SNPs) to assess the population structure, genetic diversity and relation among isolates from 20 countries to reveal the evolutionary origin and likely migration. C_LIO_LIFoc TR4 is a monophyletic lineage divided into four clusters. Two of the clusters included isolates mostly from eastern Indonesia and seem to be ancestral with many rare alleles and high genetic diversity supporting this region as centre of origin. The remaining clusters were less diverse and associated with pandemic expansion. C_LIO_LIKnowledge on Foc TR4 emergence and dispersal can be used to inform more effective biosecurity and management practice. C_LI
Matching journals
The top 6 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Means, motive, and opportunity for biological invasions: genetic introgression in a fungal pathogen 98%
- Phylogenomics of Plasmopara halstedii reveals genomic regions associated with the breakdown of sunflower downy mildew resistance genes 96%
- Host "cleansing zone" at secondary contact: a new pattern in host-parasite population genetics. 96%
Similar papers in this journal
- Whole genome sequencing elucidates the species-wide diversity and evolution of fungicide resistance in the early blight pathogen Alternaria solani 97%
- Transposable Elements are an evolutionary force shaping genomic plasticity in the parthenogenetic root-knot nematode Meloidogyne incognita 95%
- Migration dynamics of an important rice pest: the brown planthopper (Nilaparvata lugens) across Asia - insights from population genomics 95%
Similar papers in this journal
- Large-scale geographic survey provides insights into the colonization history of a major aphid pest on its cultivated apple host in Europe, North America and North Africa 96%
- Chromosomal rearrangements with stable repertoires of genes and transposable elements in an invasive forest-pathogenic fungus 95%
- Genome of Trichoderma gamsii strain T035 a promising beneficial fungus in agriculture 94%
Similar papers in this journal
- Genetic diversity and connectivity of the Ostreid herpesvirus 1 populations in France: a first attempt to phylogeographic inference for a marine mollusc disease 92%
- Dynamics of the rice yellow mottle disease in western Burkina Faso: epidemic monitoring, spatio-temporal variation of viral diversity and pathogenicity in a disease hotspot 92%
- Genome evolution and early introductions of the SARS-CoV-2 Omicron Variant in Mexico 92%
Similar papers in this journal
- A New Case Of Diploidy Within A Haploid Genus Of Entomopathogenic Fungi 96%
- High-quality genome assemblies of four members of the Podospora anserina species complex 96%
- Whole genome comparisons of ergot fungi reveals the divergence and evolution of species within the genus Claviceps are the result of varying mechanisms driving genome evolution and host range expansion 95%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.