Dataset Information

TILLING by Sequencing: A Successful Approach to Identify Rare Alleles in Soybean Populations.

ABSTRACT: Soybean seeds produce valuable protein that is a major component of livestock feed. However, soybean seeds also contain the anti-nutritional raffinose family oligosaccharides (RFOs) raffinose and stachyose, which are not digestible by non-ruminant animals. This requires the proportion of soybean meal in the feed to be limited, or risk affecting animal growth rate or overall health. While reducing RFOs in soybean seed has been a goal of soybean breeding, efforts are constrained by low genetic variability for carbohydrate traits and the difficulty in identifying these within the soybean germplasm. We used reverse genetics Targeting Induced Local Lesions in Genomes (TILLING)-by-sequencing approach to identify a damaging polymorphism that results in a missense mutation in a conserved region of the RAFFINOSE SYNTHASE3 gene. We demonstrate that this mutation, when combined as a double mutant with a previously characterized mutation in the RAFFINOSE SYNTHASE2 gene, eliminates nearly 90% of the RFOs in soybean seed as a proportion of the total seeds carbohydrates, and results in increased levels of sucrose. This represents a proof of concept for TILLING by sequencing in soybean.

SUBMITTER: Thapa R

PROVIDER: S-EPMC6947341 | biostudies-literature | 2019 Dec

REPOSITORIES: biostudies-literature

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TILLING by Sequencing: A Successful Approach to Identify Rare Alleles in Soybean Populations.

Thapa Rima R Carrero-Colón Militza M Rainey Katy M KM Hudson Karen K

Genes 20191203 12

Soybean seeds produce valuable protein that is a major component of livestock feed. However, soybean seeds also contain the anti-nutritional raffinose family oligosaccharides (RFOs) raffinose and stachyose, which are not digestible by non-ruminant animals. This requires the proportion of soybean meal in the feed to be limited, or risk affecting animal growth rate or overall health. While reducing RFOs in soybean seed has been a goal of soybean breeding, efforts are constrained by low genetic var ...[more]

PMID: 31817015

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Project description:Targeting Induced Local Lesions in Genomes (TILLING) is a powerful reverse genetics approach for functional genomics studies. We used high-throughput sequencing, combined with a two-dimensional pooling strategy, with either minimum read percentage with non-reference nucleotide or minimum variance multiplier as mutation prediction parameters, to detect genes related to abiotic and biotic stress resistances. In peanut, lipoxygenase genes were reported to be highly induced in mature seeds infected with Aspergillus spp., indicating their importance in plant-fungus interactions. Recent studies showed that phospholipase D (PLD) expression was elevated more quickly in drought sensitive lines than in drought tolerant lines of peanut. A newly discovered lipoxygenase (LOX) gene in peanut, along with two peanut PLD genes from previous publications were selected for TILLING. Additionally, two major allergen genes Ara h 1 and Ara h 2, and fatty acid desaturase AhFAD2, a gene which controls the ratio of oleic to linoleic acid in the seed, were also used in our study. The objectives of this research were to develop a suitable TILLING by sequencing method for this allotetraploid, and use this method to identify mutations induced in stress related genes.We screened a peanut root cDNA library and identified three candidate LOX genes. The gene AhLOX7 was selected for TILLING due to its high expression in seeds and roots. By screening 768 M2 lines from the TILLING population, four missense mutations were identified for AhLOX7, three missense mutations were identified for AhPLD, one missense and two silent mutations were identified for Ara h 1.01, three silent and five missense mutations were identified for Ara h 1.02, one missense mutation was identified for AhFAD2B, and one silent mutation was identified for Ara h 2.02. The overall mutation frequency was 1 SNP/1,066 kb. The SNP detection frequency for single copy genes was 1 SNP/344 kb and 1 SNP/3,028 kb for multiple copy genes.Our TILLING by sequencing approach is efficient to identify mutations in single and multi-copy genes. The mutations identified in our study can be used to further study gene function and have potential usefulness in breeding programs.

Project description:Genome Wide Association Studies (GWAS) have been recently used to dissect complex quantitative traits and identify candidate genes affecting phenotype variation of polygenic traits. In order to map loci controlling variation in tomato marketable and nutritional fruit traits, we used a collection of 96 cultivated genotypes, including Italian, Latin American, and other worldwide-spread landraces and varieties. Phenotyping was carried out by measuring ten quality traits and metabolites in red ripe fruits. In parallel, genotyping was carried out by using the Illumina Infinium SolCAP array, which allows data to be collected from 7,720 single nucleotide polymorphism (SNP) markers.The Mixed Linear Model used to detect associations between markers and traits allowed population structure and relatedness to be evidenced within our collection, which have been taken into consideration for association analysis. GWAS identified 20 SNPs that were significantly associated with seven out of ten traits considered. In particular, our analysis revealed two markers associated with phenolic compounds, three with ascorbic acid, β-carotene and trans-lycopene, six with titratable acidity, and only one with pH and fresh weight. Co-localization of a group of associated loci with candidate genes/QTLs previously reported in other studies validated the approach. Moreover, 19 putative genes in linkage disequilibrium with markers were found. These genes might be involved in the biosynthetic pathways of the traits analyzed or might be implied in their transcriptional regulation. Finally, favourable allelic combinations between associated loci were identified that could be pyramided to obtain new improved genotypes.Our results led to the identification of promising candidate loci controlling fruit quality that, in the future, might be transferred into tomato genotypes by Marker Assisted Selection or genetic engineering, and highlighted that intraspecific variability might be still exploited for enhancing tomato fruit quality.

Dataset Information

TILLING by Sequencing: A Successful Approach to Identify Rare Alleles in Soybean Populations.

Publications

TILLING by Sequencing: A Successful Approach to Identify Rare Alleles in Soybean Populations.

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