Biology subjects

De Marchi, B. R.

Publications and source records attributed to De Marchi, B. R..

2 recordsLinked to original sources

bioRxiv2019

Recombination detected in the Heat Shock Protein 90 (HSP90) of the Bemisia tabaci species complex

BackgroundBemisia tabaci (whiteflies) are a global insect pest causing billions of dollars in damage each year, leaving farmers with low yields. In East Africa, whiteflies are superabundant and present on cassava plants throughout the year. Whiteflies do not decrease in number in the hot dry seasons in East Africa, therefore, it has been suggested that the synthesis of Heat Shock Protein (HSP) may protect the whitefly from heat stress and other biotic factors. In this study we used data sequence generated from individual whiteflies to assess variability and recombination of the HSP90 gene in members of the B. tabaci species complex.\n\nResultsA total of 21 samples were sequenced on Illumina Hiseq 2500 and Hiseq 4000. These included eight genetic groups of B. tabaci: 7 SSA1, 5 SSA2, 2 Australia I (AUSI), 2 New World Africa (NWAfrica), B. afer, Uganda, Mediterranean (MED), and Middle East Asia Minor 1 (MEAM1). An alignment of 21 HSP90 sequences was generated after mapping and de novo assembly. Recombination analysis was performed on an alignment of 27 HSP90 sequences (we added an additional 6 sequences from GenBank). There were 18 recombination events detected in the HSP90 gene of the B. tabaci species complex, 7 of which were regarded as events that could be caused by evolutionary mechanisms such as gene duplication other than recombination. The phylogenetic analysis carried out on dataset without recombination events revealed a tree pattern with short terminal branches.\n\nConclusionRecombination events were detected for members of the B. tabaci species complex in the HSP90 gene. This could explain the variability in the HSP90 gene of the B. tabaci species complex and highlight the phenomenon of the increased chance of survival and reproductive abundance of whiteflies in hot conditions in East Africa, since recombination is a major driving force of evolution.

evolutionary biology↗

bioRxiv2018

Real time portable genome sequencing for global food security

The United Nations has listed Zero Hunger as one of the 17 global sustainable development goals to end extreme poverty by 2030. Plant viruses are a major constraint to crop production globally causing an estimated $30 billion in damage 1 leaving millions of people food insecure 2. In Africa, agriculture employs up to 50% of the workforce, yet only contributes 15% to the GDP on average 3, suggesting that there is low productivity and limited value addition. This can be addressed through continued innovation in the fields of science and technology as suggested in the Science Agenda for Agriculture in Africa (S3A) 4. Sustainable management of plant viruses and their associated vectors must include efficient diagnostics for surveillance, detection and identification to inform disease management, including the development and strategic deployment of virus resistant varieties. To date, researchers have been utilizing conventional methods such as; PCR, qPCR, high throughput sequencing (RNA-Seq, DNA-Seq) and Sanger sequencing for pathogen identification. However, these methods are both costly and time consuming, delaying timely control actions. The emergence of new tools for real-time diagnostics, such as the Oxford Nanopore MinION, have recently proven useful for early detection of Ebola 6 and Zika 7,8, even in low resourced laboratories. For the first time globally, the MinION portable pocket DNA sequencer was used to sequence whole plant virus genomes. We used this technology to identify the begomoviruses causing the devastating CMD which is ravaging smallholder farmers crops in sub-Saharan Africa. Cassava, a carbohydrate crop from which tapioca originates, is a major source of calories for over eight hundred (800) million people worldwide. With this technology, farmers struggling with diseased crops can take immediate, restorative action to improve their livelihoods based on information about the health of their plants, generated using a portable, real-time DNA sequencing device.

plant biology↗