Sorghum is considered the fifth most important crop in the world. Despite the potential value of Senegalese germplasm for various traits, such as resistance to fungal diseases, there is limited information on the study of sorghum seed morphology. In this study, 162 Senegalese germplasms were evaluated for seed area size, length, width, length-to-width ratio, perimeter, circularity, the distance between the intersection of length & width (IS) and center of gravity (CG), and seed darkness and brightness by scanning and analyzing morphology-related traits with SmartGrain software at the USDA-ARS Plant Science Research Unit. Correlations between seed morphology-related traits and traits associated with anthracnose and head smut resistance were analyzed. Lastly, genome-wide association studies were performed on phenotypic data collected from over 16,000 seeds and 193,727 publicly available single nucleotide polymorphisms (SNPs). Several significant SNPs were found and mapped to the reference sorghum genome to uncover multiple candidate genes potentially associated with seed morphology. The results indicate clear correlations among seed morphology-related traits and potential associations between seed morphology and the defense response of sorghum. GWAS analysis listed candidate genes associated with seed morphologies that can be used for sorghum breeding in the future.
Aphanomyces cochlioides, the causal agent of damping-off and root rot of sugar beet (Beta vulgaris L.), is a soil-dwelling oomycete responsible for yield losses in all major sugar beet growing regions. Currently, genomic resources for A. cochlioides are limited. Here we report a de novo genome assembly using a combination of long-read MinION (Oxford Nanopore Technologies) and short-read Illumina sequence data for A. cochlioides isolate 103-1, from Breckenridge, MN. The assembled genome was 76.3 Mb, with a contig N50 of 2.6 Mb. The reference assembly was annotated and was composed of 32.1% repetitive elements and 20,274 gene models. This high-quality genome assembly of A. cochlioides will be a valuable resource for understanding genetic variation, virulence factors, and comparative genomics of this important sugar beet pathogen.
Aphanomyces cochlioides, the causal agent of seedling damping-off and Aphanomyces root rot (ARR) of sugar beet, causes yield losses in major sugar beet growing regions. Currently, a 4-week soil bioassay and a 2-day culture-based assay are used to diagnose presence of A. cochlioides. However, these assays can be time-consuming and lack sensitivity. In this study we developed a sensitive, specific, and rapid assay to detect and quantify DNA of A. cochlioides. We developed a TaqMan qPCR assay targeting a region of the mitochondrial genome of A. cochlioides representing a unique gene order for Aphanomyces with genus-specific primers and a species-specific probe. The qPCR assay detected A. cochlioides in 12 naturally infested field soil samples with disease severity index (DSI) values of 48-100, in sugar beet seedlings 5-7 days after planting, and with as little as 1 fg of pure A. cochlioides DNA. Adult sugar beet roots with ARR symptoms were sampled to further validate this qPCR assay. Aphanomyces cochlioides was detected in 95% of these samples using this qPCR assay, while only 23% of the same samples were positive using a culture-based assay. This shows the improved sensitivity of this qPCR assay for disease diagnosis and could provide growers with ARR risk of a field, which would help them make informed disease management decisions. However, further research is required to translate the results of this study to growers’ fields to quantify A. cochlioides with a high degree of accuracy.
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