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Abstract Effective utilization of wild relatives is key to overcoming challenges in genetic improvement of cultivated tomato, which has a narrow genetic basis; however, current efforts to decipher high-quality genomes for tomato wild species are insufficient. Here, we report chromosome-scale tomato genomes from nine wild species and two cultivated accessions, representative of Solanum section Lycopersicon , the tomato clade. Together with two previously released genomes, we elucidate the phylogeny of Lycopersicon and construct a section-wide gene repertoire. We reveal the landscape of structural variants and provide entry to the genomic diversity among tomato wild relatives, enabling the discovery of a wild tomato gene with the potential to increase yields of modern cultivated tomatoes. Construction of a graph-based genome enables structural-variant-based genome-wide association studies, identifying numerous signals associated with tomato flavor-related traits and fruit metabolites. The tomato super-pangenome resources will expedite biological studies and breeding of this globally important crop.
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A super-pangenome of the North American wild grape species
Abstract BackgroundCapturing the genetic diversity of wild relatives is crucial for improving crops because wild species are valuable sources of agronomic traits that are essential to enhance the sustainability and adaptability of domesticated cultivars. Genetic diversity across a genus can be captured in super-pangenomes, which provide a framework for interpreting genomic variations. ResultsHere we report the sequencing, assembly, and annotation of nine wild North American grape genomes, which are phased and scaffolded at chromosome scale. We generate a reference-unbiased super-pangenome using pairwise whole-genome alignment methods, revealing the extent of the genomic diversity among wild grape species from sequence to gene level. The pangenome graph captures genomic variation between haplotypes within a species and across the different species, and it accurately assesses the similarity of hybrids to their parents. The species selected to build the pangenome are a great representation of the genus, as illustrated by capturing known allelic variants in the sex-determining region and for Pierce’s disease resistance loci. Using pangenome-wide association analysis, we demonstrate the utility of the super-pangenome by effectively mapping short reads from genus-wide samples and identifying loci associated with salt tolerance in natural populations of grapes. ConclusionsThis study highlights how a reference-unbiased super-pangenome can reveal the genetic basis of adaptive traits from wild relatives and accelerate crop breeding research.
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- Award ID(s):
- 1741627
- PAR ID:
- 10508270
- Publisher / Repository:
- Springer
- Date Published:
- Journal Name:
- Genome Biology
- Volume:
- 24
- Issue:
- 1
- ISSN:
- 1474-760X
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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Abstract BackgroundPrioritizing wild relative diversity for improving crop adaptation to emerging drought-prone environments is challenging. Here, we combine the genome-wide environmental scans (GWES) in wheat diploid ancestorAegilops tauschii(Ae. tauschii) with allele testing in the genetic backgrounds of adapted cultivars to identify diversity for improving wheat adaptation to water-limiting conditions. ResultsWe evaluate the adaptive allele effects inAe. tauschii-wheat introgression lines phenotyped for multiple traits under irrigated and water-limiting conditions using both unmanned aerial system-based imaging and conventional approaches. The GWES show that climatic gradients alone explain more than half of genomic variation inAe. tauschii, with many alleles associated with climatic factors inAe. tauschiibeing linked with improved performance of introgression lines under water-limiting conditions. We find that the most significant GWES signals associated with temperature annual range in the wild relative are linked with reduced canopy temperature in introgression lines and increased yield. ConclusionsOur results suggest that introgression of climate-adaptive alleles fromAe. tauschiihas the potential to improve wheat performance under water-limiting conditions, and that variants controlling physiological processes responsible for maintaining leaf temperature are likely among the targets of adaptive selection in a wild relative. Adaptive variation uncovered by GWES in wild relatives has the potential to improve climate resilience of crop varieties.more » « less
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Abstract Polyploidy, also known as whole-genome duplication (WGD), is a significant evolutionary force in green plants, especially angiosperms. The dynamic nature of polyploid genomes generates genetic diversity and drives the evolution of novel traits and adaptations. Pangenomics is emerging as a major frontier in plant genome research, with a rapidly growing number of pangenomes for individual species and associated analyses providing novel agronomic and evolutionary insights. Polyploid genome analysis can be confounded by intraspecific variation when relying on a single reference genome assembly. The use of pangenomes that better represent the genomic diversity of a species helps overcome this limitation. However, a major gap remains between the number of pangenomic studies in polyploid compared to diploid species, despite the widespread prevalence of WGD, limiting the potential of the pangenome framework for characterizing and understanding polyploid genomes. Furthermore, most polyploid pangenome studies have focused on domesticated crop species, and natural populations have rarely been examined. In addition to applications in crop improvement, pangenomes can provide insights into the ecological and evolutionary impact of polyploidy. Here, we summarize recent pangenome studies in polyploid plants and highlight promising topics for future research. We hope this article will encourage the growth of pangenomic studies in polyploid systems, particularly in natural populations.more » « less
- Free Publicly Accessible Full Text
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Accepted Manuscript
- Journal Article:
- https://doi.org/10.1186/s13059-023-03133-2
