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Pangenome of Soybean Generated to Capture Genomic Diversity

Wednesday, August 26, 2020

A pangenome identifies which portions of the genome are unique and which overlap and are therefore core to the species.

It has recently become apparent how important it is to sequence more than one individual to characterize the genomic variation within a species. This makes sense if you consider that sexually reproducing organisms are a mix of their parents and, therefore, not identical. This is just as true in crops as it is in humans. So, it’s not surprising that when a group of researchers from several institutions in China embarked on de novo genome assemblies of several accessions of wild and cultivated soybeans, they captured thousands of variants.

In what one reviewer described as “a landmark paper for genomics,” the Cell study describes 26 PacBio-based de novo assemblies selected from 2,898 globally collected soybean germplasms for their phylogenetic relationships and geographic distributions.

Soybeans have an astounding 60,000 accessions adapted to different ecoregions, and intergenomic comparisons have shown extensive genetic diversities between wild and cultivated soybeans, as well as among cultivated soybeans from different geographic areas.

There are ~60,000 accessions of wild and cultivated soybeans ripe for genomics analyses of variation

A previous soybean reference genome (Wm82, released in 2010) only identified single nucleotide polymorphisms (SNPs) and small indels, leaving the larger structural variants (SVs) almost overlooked. This limited the capture of the full landscape of genetic variations and the pinpoint of causal variations in QTL cloning and genome-wide association studies, the authors stated.

Two other reference genomes were released in 2018 and 2019, one from  ‘‘Zhonghuang 13’’ (ZH13), the most widely planted soybean cultivar in China, and another from a wild soybean. Comparisons between Wm82 and these two genomes further demonstrated that a considerable amount of CNVs and PAVs exist in different accessions.

Through a comparative genome analysis of the 26 genomes, plus three previously reported genomes, Zhixi’s team identified a total of 14,604,953 SNPs and 12,716,823 small insertions and deletions; 723,862 present and absent variations; 27,531 copy number variations; 21,886 translocation events; and 3,120 inversion events.

“The high-quality genomes enabled the identification of numerous complex variations that cannot be detected by simply mapping the short reads to a single genome,” the authors wrote.   

They said de novo construction of the pangenome using long-read technology was valuable in identifying larger structural variants; most of the PAVs had a length from 1 kb to 2 kb, translocations were concentrated from 10 kb to 30 kb, inversions mainly ranged from 100 kb to 200 kb, and the CNVs varied from 2 to >10 with an enrichment of 2 and 3.

“The large number of SVs from dozens of independently de novo assembled genomes enabled us to clarify clearer evolutionary processes that cannot be detected from one or a few genomes,” the authors wrote.

This will be key in the creation of new experimental populations for both functional studies and breeding, especially as genetic diversity bottlenecks during soybean domestication and improvement has resulted in narrowed genetic diversity among modern cultivars of the important crop, they added. 

In order to overcome some of the limits of conventional linear references, which are unable to show the genotypes of different alleles from each locus, the team devised a way to represent it graphically, creating the first reported graph-based plant genome.

“The graph-based genome offers a new platform to map short-read data to determine the genetic variations at the pan-genome level instead of a single genome and prevent erroneous variation calls around SVs,” they wrote. 

Coupled with RNA sequencing data from individual accessions, the platform will make it possible to link SVs with gene expression, which could greatly promote gene discovery. The graph-based genome could also provide an opportunity to re-analyze and “rejuvenate” previous sequencing data to generate more comprehensive information than ever, they said. 

This pangenome collection, along with the methods of generating a graph-based representation of the soybean pangenome, will serve the genomics community greatly as we embark on larger projects to characterize all variation within a species for better breeding programs and conservation efforts.

 

To learn more about pangenomes, register for our upcoming webinar on September 16: Beyond a Single Reference Genome – The Advantages of Sequencing Multiple Individuals.

 

See additional examples of the use of SMRT Sequencing for the generation of pangenomes: 

 

 

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