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Biology subjects

Edward S Buckler

Publications and source records attributed to Edward S Buckler.

2 recordsLinked to original sources

Cassava HapMap: Managing genetic load in a clonal crop species

Cassava (Manihot esculenta Crantz) is an important staple food crop in Africa and South America, however, ubiquitous deleterious mutations may severely reduce its fitness. To evaluate these deleterious mutations in the cassava genome, we constructed a cassava haplotype map using deep sequencing from 241 diverse accessions and identified over 28 million segregating variants. We found that, 1) while domestication modified starch and ketone metabolism pathways for human consumption, the concomitant bottleneck and clonal propagation resulted in a large proportion of fixed deleterious amino acid changes, raised the number of deleterious mutations by 26%, and shifted the mutational burden towards common variants; 2) deleterious mutations are ineffectively purged due to limited recombination in cassava genome; 3) recent breeding efforts maintained the yield by masking the most damaging recessive mutations in the heterozygous state, but unable to purge the mutation burden, which should be a key target for future cassava breeding.

Genetics

Construction of the third generation Zea mays haplotype map

BackgroundCharacterization of genetic variations in maize has been challenging, mainly due to deterioration of collinearity between individual genomes in the species. An international consortium of maize research groups combined resources to develop the maize haplotype version 3 (HapMap 3), built from whole genome sequencing data from 1,218 maize lines, covering pre-domestication and domesticated Zea mays varieties across the world.\n\nResultsA new computational pipeline was set up to process over 12 trillion bp of sequencing data, and a set of population genetics filters were applied to identify over 83 million variant sites.\n\nConclusionsWe identified polymorphisms in regions where collinearity is largely preserved in the maize species. However, the fact that the B73 genome used as the reference only represents a fraction of all haplotypes is still an important limiting factor.

Bioinformatics