About 8,000 years ago in the Fertile Crescent, a spontaneous hybridization of the wild diploid grass Aegilops tauschii (2n = 14; DD) with the cultivated tetraploid wheat Triticum turgidum (2n = 4x = 28; AABB) resulted in hexaploid wheat (T. aestivum; 2n = 6x = 42; AABBDD). Wheat has since become a primary staple crop worldwide as a result of its enhanced adaptability to a wide range of climates and improved grain quality for the production of baker's flour. Here we describe sequencing the Ae. tauschii genome and obtaining a roughly 90-fold depth of short reads from libraries with various insert sizes, to gain a better understanding of this genetically complex plant. The assembled scaffolds represented 83.4% of the genome, of which 65.9% comprised transposable elements. We generated comprehensive RNA-Seq data and used it to identify 43,150 protein-coding genes, of which 30,697 (71.1%) were uniquely anchored to chromosomes with an integrated high-density genetic map. Whole-genome analysis revealed gene family expansion in Ae. tauschii of agronomically relevant gene families that were associated with disease resistance, abiotic stress tolerance and grain quality. This draft genome sequence provides insight into the environmental adaptation of bread wheat and can aid in defining the large and complicated genomes of wheat species.

/pdf/aegilops-tauschii-draft-genome-sequence-reveals-a-gene-419xy3vezl.pdf

Aegilops tauschii draft genome sequence reveals a gene repertoire for wheat adaptation

The most represented group of resistance genes are those of the nucleotide binding site–leucine-rich repeat (NBS-LRR) class. These genes are very numerous in the plant genome, and they often occur in clusters at speciﬁc loci following gene duplication and ampliﬁcation events. To date, hundreds of resistance genes and relatively few quantitative trait loci for plant resistance to pathogens have been mapped in different species, with some also cloned. When these NBS-LRR genes have been physically or genetically mapped, many cases have shown co-localization between resistance loci and NBS-LRR genes. This has allowed the identification of candidate genes for resistance, and the development of molecular markers linked to R genes. This review is focused on recent genomics studies that have described the abundance, distribution and evolution of NBS-LRR genes in plant genomes. Furthermore, in terms of their expression, NBS-LRR genes are under fine regulation by cis- and trans-acting elements. Recent findings have provided insights into the roles of alternative splicing, the ubiquitin/ proteasome system, and miRNAs and secondary siRNAs in the regulation of NBS-LRR gene expression at the post-transcriptional, post-translational and epigenetic levels. The possibility to use this knowledge for genetic improvement of plant resistance to pathogens is discussed.

/pdf/plant-nucleotide-binding-site-leucine-rich-repeat-nbs-lrr-209eqj5kfc.pdf

Plant Nucleotide Binding Site–Leucine-Rich Repeat (NBS-LRR) Genes: Active Guardians in Host Defense Responses

Nucleotide-binding site-leucine-rich repeat (NBS-LRR) genes make up the largest plant disease resistance gene family (R genes), with hundreds of copies occurring in individual angiosperm genomes. However, the expansion history of NBS-LRR genes during angiosperm evolution is largely unknown. By identifying more than 6,000 NBS-LRR genes in 22 representative angiosperms and reconstructing their phylogenies, we present a potential framework of NBS-LRR gene evolution in the angiosperm. Three anciently diverged NBS-LRR classes (TNLs, CNLs, and RNLs) were distinguished with unique exon-intron structures and DNA motif sequences. A total of seven ancient TNL, 14 CNL, and two RNL lineages were discovered in the ancestral angiosperm, from which all current NBS-LRR gene repertoires were evolved. A pattern of gradual expansion during the first 100 million years of evolution of the angiosperm clade was observed for CNLs. TNL numbers remained stable during this period but were eventually deleted in three divergent angiosperm lineages. We inferred that an intense expansion of both TNL and CNL genes started from the Cretaceous-Paleogene boundary. Because dramatic environmental changes and an explosion in fungal diversity occurred during this period, the observed expansions of R genes probably reflect convergent adaptive responses of various angiosperm families. An ancient whole-genome duplication event that occurred in an angiosperm ancestor resulted in two RNL lineages, which were conservatively evolved and acted as scaffold proteins for defense signal transduction. Overall, the reconstructed framework of angiosperm NBS-LRR gene evolution in this study may serve as a fundamental reference for better understanding angiosperm NBS-LRR genes.

/pdf/large-scale-analyses-of-angiosperm-nucleotide-binding-site-31tgifgo9g.pdf

Large-Scale Analyses of Angiosperm Nucleotide-Binding Site-Leucine-Rich Repeat Genes Reveal Three Anciently Diverged Classes with Distinct Evolutionary Patterns

Plant immune receptors of the class of nucleotide-binding and leucine-rich repeat domain (NLR) proteins can contain additional domains besides canonical NB-ARC (nucleotide-binding adaptor shared by APAF-1, R proteins, and CED-4 (NB-ARC)) and leucine-rich repeat (LRR) domains. Recent research suggests that these additional domains act as integrated decoys recognizing effectors from pathogens. Proteins homologous to integrated decoys are suspected to be effector targets and involved in disease or resistance. Here, we scrutinized 31 entire plant genomes to identify putative integrated decoy domains in NLR proteins using the Interpro search. The involvement of the Zinc Finger-BED type (ZBED) protein containing a putative decoy domain, called BED, in rice (Oryza sativa) resistance was investigated by evaluating susceptibility to the blast fungus Magnaporthe oryzae in rice over-expression and knock-out mutants. This analysis showed that all plants tested had integrated various atypical protein domains into their NLR proteins (on average 3.5% of all NLR proteins). We also demonstrated that modifying the expression of the ZBED gene modified disease susceptibility. This study suggests that integration of decoy domains in NLR immune receptors is widespread and frequent in plants. The integrated decoy model is therefore a powerful concept to identify new proteins involved in disease resistance. Further in-depth examination of additional domains in NLR proteins promises to unravel many new proteins of the plant immune system.

https://nph.onlinelibrary.wiley.com/doi/pdf/10.1111/nph.13869

Integration of decoy domains derived from protein targets of pathogen effectors into plant immune receptors is widespread.

Plants have developed effective mechanisms to recognize and respond to infections caused by pathogens. Plant resistance gene analogs (RGAs), as resistance (R) gene candidates, have conserved domains and motifs that play specific roles in pathogens’ resistance. Well-known RGAs are nucleotide binding site leucine rich repeats, receptor like kinases, and receptor like proteins. Others include pentatricopeptide repeats and apoplastic peroxidases. RGAs can be detected using bioinformatics tools based on their conserved structural features. Thousands of RGAs have been identified from sequenced plant genomes. High-density genome-wide RGA genetic maps are useful for designing diagnostic markers and identifying quantitative trait loci (QTL) or markers associated with plant disease resistance. This review focuses on recent advances in structures and mechanisms of RGAs, and their identification from sequenced genomes using bioinformatics tools. Applications in enhancing fine mapping and cloning of plant disease resistance genes are also discussed.

/pdf/disease-resistance-gene-analogs-rgas-in-plants-4hsvxugepa.pdf

Disease Resistance Gene Analogs (RGAs) in Plants

The proper use of resistance genes (R genes) requires a comprehensive understanding of their genomics and evolution. We analyzed genes encoding nucleotide-binding sites and leucine-rich repeats in the genomes of rice (Oryza sativa), maize (Zea mays), sorghum (Sorghum bicolor), and Brachypodium distachyon. Frequent deletions and translocations of R genes generated prevalent presence/absence polymorphism between different accessions/species. The deletions were caused by unequal crossover, homologous repair, nonhomologous repair, or other unknown mechanisms. R gene loci identified from different genomes were mapped onto the chromosomes of rice cv Nipponbare using comparative genomics, resulting in an integrated map of 495 R loci. Sequence analysis of R genes from the partially sequenced genomes of an African rice cultivar and 10 wild accessions suggested that there are many additional R gene lineages in the AA genome of Oryza. The R genes with chimeric structures (termed type I R genes) are diverse in different rice accessions but only account for 5.8% of all R genes in the Nipponbare genome. In contrast, the vast majority of R genes in the rice genome are type II R genes, which are highly conserved in different accessions. Surprisingly, pseudogene-causing mutations in some type II lineages are often conserved, indicating that their conservations were not due to their functions. Functional R genes cloned from rice so far have more type II R genes than type I R genes, but type I R genes are predicted to contribute considerable diversity in wild species. Type I R genes tend to reduce the microsynteny of their flanking regions significantly more than type II R genes, and their flanking regions have slightly but significantly lower G/C content than those of type II R genes.

/pdf/dynamic-nucleotide-binding-site-and-leucine-rich-repeat-2exfariu0m.pdf

Dynamic Nucleotide-Binding Site and Leucine-Rich Repeat-Encoding Genes in the Grass Family

The proper use of resistance genes (R genes) requires a comprehensive understanding of their genomics and evolution. We analyzed genes encoding nucleotide-binding sites and leucine-rich repeats in the genomes of rice (Oryza sativa), maize (Zea mays), sorghum (Sorghum bicolor), and Brachypodium distachyon. Frequent deletions and translocations of R genes generated prevalent presence/absence polymorphism between different accessions/species. The deletions were caused by unequal crossover, homologous repair, nonhomologous repair, or other unknown mechanisms. R gene loci identified from different genomes were mapped onto the chromosomes of rice cv Nipponbare using comparative genomics, resulting in an integrated map of 495 R loci. Sequence analysis of R genes from the partially sequenced genomes of an African rice cultivar and 10 wild accessions suggested that there are many additional R gene lineages in the AA genome of Oryza. The R genes with chimeric structures (termed type I R genes) are diverse in different rice accessions but only account for 5.8% of all R genes in the Nipponbare genome. In contrast, the vast majority of R genes in the rice genome are type II R genes, which are highly conserved in different accessions. Surprisingly, pseudogene-causing mutations in some type II lineages are often conserved, indicating that their conservations were not due to their functions. Functional R genes cloned from rice so far have more type II R genes than type I R genes, but type I R genes are predicted to contribute considerable diversity in wild species. Type I R genes tend to reduce the microsynteny of their flanking regions significantly more than type II R genes, and their flanking regions have slightly but significantly lower G/C content than those of type II R genes. The grass family (Poaceae) provides the main food for humans, directly or indirectly. The major threat to the crops in the grass family is diseases caused by various pathogens, including fungi, bacteria, and viruses. A reliable, economical, and environmentally friendly approach for disease control is to use resistant cultivars. As a matter of fact, the resistance trait is an

Hui Liu

Papers

Dynamic Nucleotide-Binding Site and Leucine-Rich Repeat-Encoding Genes in the Grass Family

Dynamic Nucleotide-Binding Site and Leucine-Rich Repeat-Encoding Genes in the