Collecting banana diversity in eastern Indonesia

Major diseases, including Fusarium wilt tropical race 4, threaten banana production systems worldwide. New sources of genetic resistance are considered necessary in the fight against such diseases. The triangular region of Indonesia taking in Sulawesi, the Maluku Islands and Lesser Sunda Islands was prioritized by the Global Musa Genetic Resources Network, MusaNet for exploration and collecting. It is just east of the Wallace Line, which is recognized as a transition zone for flora in southeast Asia, and had been little explored. Bioversity International funded a team of scientists from Indonesia and Australia to make collecting missions in the triangle in October 2012 and February 2013. Suckers and seeds of 35 promising new accessions were collected. About 90% of these are either wild species or diploid cultivars of more direct use to breeding programs. These were morphologically characterized during the collecting missions and included a set of photographs recommended by Bioversitys Taxonomic Advisory Group. Cigar leaf samples were also collected and sent as fresh samples to the International Banana Genotyping Centre in the Czech Republic. Ploidy and DNA (SSR) genotyping determinations from these samples have been invaluable in quickly interpreting and better appreciating what has been discovered. The new accessions have been grown on at Solok field collection, West Sumatra and will be made available by Indonesia to the international community, including breeding programs, for evaluation and utilization. Information on wild Eumusa prompts a rethinking of the phytogeography of Musa acuminata. The variation within the Australimusa species M. lolodensis highlights the need for broader study of this Musa section. French Plantain-like edible AAs and prospects for the generation of African plantains in the region were identified. The mission indicated existence of local edible ABs in eastern Indonesia in association with balbisiana hybrids origins in the region. Further explorations in the region should add to Musa diversity knowledge.

Development of single nucleotide polymorphism (SNP) markers from the mango (Mangifera indica) transcriptome for mapping and estimation of genetic diversity

The development of molecular markers for genomic studies in Mangifera indica (mango) will allow marker-assisted selection and identification of genetically diverse germplasm, greatly aiding mango breeding programs. We report here our identification of thousands of unambiguous molecular markers that can be easily assayed across genotypes of the species. With origin centered in Southeast Asia, mangos are grown throughout the tropics and subtropics as a nutritious fruit that exhibits remarkable intraspecific phenotypic diversity. With the goal of building a high density genetic map, we have undertaken discovery of sequence variation in expressed genes across a broad range of mango cultivars. A transcriptome sequence reference was built de novo from extensive sequencing and assembly of RNA from cultivar 'Tommy Atkins'. Single nucleotide polymorphisms (SNPs) in protein coding transcripts were determined from alignment of RNA reads from 24 mango cultivars of diverse origins: 'Amin Abrahimpur' (India), 'Aroemanis' (Indonesia), 'Burma' (Burma), 'CAC' (Hawaii), 'Duncan' (Florida), 'Edward' (Florida), 'Everbearing' (Florida), 'Gary' (Florida), 'Hodson' (Florida), 'Itamaraca' (Brazil), 'Jakarata' (Florida), 'Long' (Jamaica), 'M. Casturi Purple' (Borneo), 'Malindi' (Kenya), 'Mulgoba' (India), 'Neelum' (India), 'Peach' (unknown), 'Prieto' (Cuba), 'Sandersha' (India), 'Tete Nene' (Puerto Rico), 'Thai Everbearing' (Thailand), 'Toledo' (Cuba), 'Tommy Atkins' (Florida) and 'Turpentine' (West Indies). SNPs in a selected subset of protein coding transcripts are currently being converted into Fluidigm assays for genotyping of mapping populations and germplasm collections. Using an alternate approach, SNPs (144) discovered by sequencing of candidate genes in 'Kensington Pride' have already been converted and used for genotyping.

Assessing and reducing vulnerability to climate change: Moving from theory to practical decision-support

As climate change continues to impact socio-ecological systems, tools that assist conservation managers to understand vulnerability and target adaptations are essential. Quantitative assessments of vulnerability are rare because available frameworks are complex and lack guidance for dealing with data limitations and integrating across scales and disciplines. This paper describes a semi-quantitative method for assessing vulnerability to climate change that integrates socio-ecological factors to address management objectives and support decision-making. The method applies a framework first adopted by the Intergovernmental Panel on Climate Change and uses a structured 10-step process. The scores for each framework element are normalized and multiplied to produce a vulnerability score and then the assessed components are ranked from high to low vulnerability. Sensitivity analyses determine which indicators most influence the analysis and the resultant decision-making process so data quality for these indicators can be reviewed to increase robustness. Prioritisation of components for conservation considers other economic, social and cultural values with vulnerability rankings to target actions that reduce vulnerability to climate change by decreasing exposure or sensitivity and/or increasing adaptive capacity. This framework provides practical decision-support and has been applied to marine ecosystems and fisheries, with two case applications provided as examples: (1) food security in Pacific Island nations under climate-driven fish declines, and (2) fisheries in the Gulf of Carpentaria, northern Australia. The step-wise process outlined here is broadly applicable and can be undertaken with minimal resources using existing data, thereby having great potential to inform adaptive natural resource management in diverse locations.