Dataset Information

A High-Quality Genome Assembly of Sorghum dochna.

ABSTRACT: Sweet sorghum (Sorghum dochna) is a high-quality bio-energy crop that also serves as food for humans and animals. However, there is little information on the genomic characteristics of S. dochna. In this study, we presented a high-quality assembly of S. dochna with PacBio long reads, Illumina short reads, high-throughput chromosome capture technology (Hi-C) sequencing data, gene annotation, and a comparative genome analysis. The results showed that the genome of S. dochna was assembled to 777 Mb with a contig N50 of 553.47 kb and a scaffold N50 of 727.11 kb. In addition, the gene annotation predicted 37,971 genes and 39,937 transcripts in the genome of S. dochna. A Venn analysis revealed a set of 7,988 common gene annotations by integrating five databases. A Cafe software analysis showed that 191 gene families were significantly expanded, while 3,794 were significantly contracted in S. dochna. A GO enrichment analysis showed that the expanded gene families were primarily clustered in the metabolic process, DNA reconstruction, and DNA binding among others. The high-quality genome map constructed in this study provides a biological basis for the future analysis of the biological characteristics of S. dochna, which is crucial for its breeding.

SUBMITTER: Chen Y

PROVIDER: S-EPMC9412107 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature

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A High-Quality Genome Assembly of Sorghum dochna.

Chen Yu Y Zhang Yongbai Y Wang Hongjie H Sun Juan J Ma Lichao L Miao Fuhong F Zhang Zixin Z Cheng Yang Y Huang Jianwei J Yang Guofeng G Wang Zengyu Z

Frontiers in genetics 20220812

Sweet sorghum (Sorghum dochna) is a high-quality bio-energy crop that also serves as food for humans and animals. However, there is little information on the genomic characteristics of S. dochna. In this study, we presented a high-quality assembly of S. dochna with PacBio long reads, Illumina short reads, high-throughput chromosome capture technology (Hi-C) sequencing data, gene annotation, and a comparative genome analysis. The results showed that the genome of S. dochna ...[more]

PMID: 36035157

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Project description:Sorghum bicolor (L.) Moench is a significant grass crop globally, known for its genetic diversity. High quality genome sequences are needed to capture the diversity. We constructed high-quality, chromosome-level genome assemblies for two vital sorghum inbred lines, Tx2783 and RTx436. Through advanced single-molecule techniques, long-read sequencing and optical maps, we improved average sequence continuity 19-fold and 11-fold higher compared to existing Btx623 v3.0 reference genome and obtained 19 and 18 scaffolds (N50 of 25.6 and 14.4) for Tx2783 and RTx436, respectively. Our gene annotation efforts resulted in 29 612 protein-coding genes for the Tx2783 genome and 29 265 protein-coding genes for the RTx436 genome. Comparative analyses with 26 plant genomes which included 18 sorghum genomes and 8 outgroup species identified around 31 210 protein-coding gene families, with about 13 956 specific to sorghum. Using representative models from gene trees across the 18 sorghum genomes, a total of 72 579 pan-genes were identified, with 14% core, 60% softcore and 26% shell genes. We identified 99 genes in Tx2783 and 107 genes in RTx436 that showed functional enrichment specifically in binding and metabolic processes, as revealed by the GO enrichment Pearson Chi-Square test. We detected 36 potential large inversions in the comparison between the BTx623 Bionano map and the BTx623 v3.1 reference sequence. Strikingly, these inversions were notably absent when comparing Tx2783 or RTx436 with the BTx623 Bionano map. These inversion were mostly in the pericentromeric region which is known to have low complexity regions and harder to assemble and suggests the presence of potential artifacts in the public BTx623 reference assembly. Furthermore, in comparison to Tx2783, RTx436 exhibited 324 883 additional Single Nucleotide Polymorphisms (SNPs) and 16 506 more Insertions/Deletions (INDELs) when using BTx623 as the reference genome. We also characterized approximately 348 nucleotide-binding leucine-rich repeat (NLR) disease resistance genes in the two genomes. These high-quality genomes serve as valuable resources for discovering agronomic traits and structural variation studies.

Dataset Information

A High-Quality Genome Assembly of Sorghum dochna.

Publications

A High-Quality Genome Assembly of <i>Sorghum dochna</i>.

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