Pan-genomes from large natural populations can capture genetic diversity and reveal genomic complexity. Using de novo long-read assembly, we generated a graph-based super pan-genome of rice consisting of a 251-accession panel comprising both cultivated and wild species of Asian and African rice. Our pan-genome reveals extensive structural variations (SVs) and gene presence/absence variations. Additionally, our pan-genome enables the accurate identification of nucleotide-binding leucine-rich repeat genes and characterization of their inter- and intraspecific diversity. Moreover, we uncovered grain weight-associated SVs which specify traits by affecting the expression of their nearby genes. We characterized genetic variants associated with submergence tolerance, seed shattering and plant architecture and found independent selection for a common set of genes that drove adaptation and domestication in Asian and African rice. This super pan-genome facilitates pinpointing of lineage-specific haplotypes for trait-associated genes and provides insights into the evolutionary events that have shaped the genomic architecture of various rice species.

In this study we systematically identified and classified PKs in Triticum aestivum, Triticum urartu and Aegilops tauschii. Domain distribution and exon-intron structure analyses of PKs were performed, and we found conserved exon-intron structures within the exon phases in the kinase domain. Collinearity events were determined, and we identified various T. aestivum PKs from polyploidizations and tandem duplication events. Global expression pattern analysis of T. aestivum PKs revealed that some PKs might participate in the signaling pathways of stress response and developmental processes. QRT-PCR of 15 selected PKs were performed under drought treatment and with infection of Fusarium graminearum to validate the prediction of microarray. The protein kinase (PK) gene superfamily is one of the largest families in plants and participates in various plant processes, including growth, development, and stress response. To better understand wheat PKs, we conducted genome-wide identification, classification, evolutionary analysis and expression profiles of wheat and Ae. tauschii PKs. We identified 3269, 1213 and 1448 typical PK genes in T. aestivum, T. urartu and Ae. tauschii, respectively, and classified them into major groups and subfamilies. Domain distributions and gene structures were analyzed and visualized. Some conserved intron-exon structures within the conserved kinase domain were found in T. aestivum, T. urartu and Ae. tauschii, as well as the primitive land plants Selaginella moellendorffii and Physcomitrella patens, revealing the important roles and conserved evolutionary history of these PKs. We analyzed the collinearity events of T. aestivum PKs and identified PKs from polyploidizations and tandem duplication events. Global expression pattern analysis of T. aestivum PKs revealed tissue-specific and stress-specific expression profiles, hinting that some wheat PKs may regulate abiotic and biotic stress response signaling pathways. QRT-PCR of 15 selected PKs were performed under drought treatment and with infection of F. graminearum to validate the prediction of microarray. Our results will provide the foundational information for further studies on the molecular functions of wheat PKs.

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