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Duitama J, Kafuri L, Tello D, Leiva AM, Hofinger B, Datta S, Lentini Z, Aranzales E, Till B, Ceballos H. Deep Assessment of Genomic Diversity in Cassava for Herbicide Tolerance and Starch Biosynthesis. Comput Struct Biotechnol J 2017; 15:185-194. [PMID: 28179981 PMCID: PMC5295625 DOI: 10.1016/j.csbj.2017.01.002] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2016] [Revised: 12/26/2016] [Accepted: 01/10/2017] [Indexed: 12/16/2022] Open
Abstract
Cassava is one of the most important food security crops in tropical countries, and a competitive resource for the starch, food, feed and ethanol industries. However, genomics research in this crop is much less developed compared to other economically important crops such as rice or maize. The International Center for Tropical Agriculture (CIAT) maintains the largest cassava germplasm collection in the world. Unfortunately, the genetic potential of this diversity for breeding programs remains underexploited due to the difficulties in phenotypic screening and lack of deep genomic information about the different accessions. A chromosome-level assembly of the cassava reference genome was released this year and only a handful of studies have been made, mainly to find quantitative trait loci (QTL) on breeding populations with limited variability. This work presents the results of pooled targeted resequencing of more than 1500 cassava accessions from the CIAT germplasm collection to obtain a dataset of more than 2000 variants within genes related to starch functional properties and herbicide tolerance. Results of twelve bioinformatic pipelines for variant detection in pooled samples were compared to ensure the quality of the variant calling process. Predictions of functional impact were performed using two separate methods to prioritize interesting variation for genotyping and cultivar selection. Targeted resequencing, either by pooled samples or by similar approaches such as Ecotilling or capture, emerges as a cost effective alternative to whole genome sequencing to identify interesting alleles of genes related to relevant traits within large germplasm collections.
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Affiliation(s)
- Jorge Duitama
- Agrobiodiversity Research Area, International Center for Tropical Agriculture (CIAT), Cali, Colombia
- Systems and Computing Engineering Department, Universidad de los Andes, Bogotá, Colombia
| | - Lina Kafuri
- Plant Breeding and Genetics Laboratory, Joint FAO/IAEA Division, International Atomic Energy Agency, Seibersdorf, Austria
- Department of Biological Sciences, School of Natural Sciences, Universidad Icesi, Cali, Colombia
| | - Daniel Tello
- Plant Breeding and Genetics Laboratory, Joint FAO/IAEA Division, International Atomic Energy Agency, Seibersdorf, Austria
- Department of Biological Sciences, School of Natural Sciences, Universidad Icesi, Cali, Colombia
| | - Ana María Leiva
- Agrobiodiversity Research Area, International Center for Tropical Agriculture (CIAT), Cali, Colombia
| | - Bernhard Hofinger
- Plant Breeding and Genetics Laboratory, Joint FAO/IAEA Division, International Atomic Energy Agency, Seibersdorf, Austria
| | - Sneha Datta
- Plant Breeding and Genetics Laboratory, Joint FAO/IAEA Division, International Atomic Energy Agency, Seibersdorf, Austria
| | - Zaida Lentini
- Department of Biological Sciences, School of Natural Sciences, Universidad Icesi, Cali, Colombia
| | - Ericson Aranzales
- Agrobiodiversity Research Area, International Center for Tropical Agriculture (CIAT), Cali, Colombia
| | - Bradley Till
- Plant Breeding and Genetics Laboratory, Joint FAO/IAEA Division, International Atomic Energy Agency, Seibersdorf, Austria
| | - Hernán Ceballos
- Agrobiodiversity Research Area, International Center for Tropical Agriculture (CIAT), Cali, Colombia
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