The domesticated sunflower, Helianthus annuus L, is a global oil crop that has promise for climate change adaptation, because it can maintain stable yields across a wide variety of environmental conditions, including drought Even greater resilience is achievable through the mining of resistance alleles from compatible wild sunflower relatives, including numerous extremophile species Here we report a high-quality reference for the sunflower genome (36 gigabases), together with extensive transcriptomic data from vegetative and floral organs The genome mostly consists of highly similar, related sequences and required single-molecule real-time sequencing technologies for successful assembly Genome analyses enabled the reconstruction of the evolutionary history of the Asterids, further establishing the existence of a whole-genome triplication at the base of the Asterids II clade and a sunflower-specific whole-genome duplication around 29 million years ago An integrative approach combining quantitative genetics, expression and diversity data permitted development of comprehensive gene networks for two major breeding traits, flowering time and oil metabolism, and revealed new candidate genes in these networks We found that the genomic architecture of flowering time has been shaped by the most recent whole-genome duplication, which suggests that ancient paralogues can remain in the same regulatory networks for dozens of millions of years This genome represents a cornerstone for future research programs aiming to exploit genetic diversity to improve biotic and abiotic stress resistance and oil production, while also considering agricultural constraints and human nutritional needs

/pdf/the-sunflower-genome-provides-insights-into-oil-metabolism-5g0bkrftgc.pdf

The sunflower genome provides insights into oil metabolism, flowering and Asterid evolution

Wild relatives of crops are an important source of genetic diversity for agriculture, but their gene repertoire remains largely unexplored. We report the establishment and analysis of a pan-genome of Glycine soja, the wild relative of cultivated soybean Glycine max, by sequencing and de novo assembly of seven phylogenetically and geographically representative accessions. Intergenomic comparisons identified lineage-specific genes and genes with copy number variation or large-effect mutations, some of which show evidence of positive selection and may contribute to variation of agronomic traits such as biotic resistance, seed composition, flowering and maturity time, organ size and final biomass. Approximately 80% of the pan-genome was present in all seven accessions (core), whereas the rest was dispensable and exhibited greater variation than the core genome, perhaps reflecting a role in adaptation to diverse environments. This work will facilitate the harnessing of untapped genetic diversity from wild soybean for enhancement of elite cultivars.

/pdf/de-novo-assembly-of-soybean-wild-relatives-for-pan-genome-4b7icy5cd3.pdf

De novo assembly of soybean wild relatives for pan-genome analysis of diversity and agronomic traits

The sharp increase of plant genome and transcriptome data provide valuable resources to investigate evolutionary consequences of gene duplication in a range of taxa, and unravel common principles underlying duplicate gene retention. We survey 141 sequenced plant genomes to elucidate consequences of gene and genome duplication, processes central to the evolution of biodiversity. We develop a pipeline named DupGen_finder to identify different modes of gene duplication in plants. Genes derived from whole-genome, tandem, proximal, transposed, or dispersed duplication differ in abundance, selection pressure, expression divergence, and gene conversion rate among genomes. The number of WGD-derived duplicate genes decreases exponentially with increasing age of duplication events—transposed duplication- and dispersed duplication-derived genes declined in parallel. In contrast, the frequency of tandem and proximal duplications showed no significant decrease over time, providing a continuous supply of variants available for adaptation to continuously changing environments. Moreover, tandem and proximal duplicates experienced stronger selective pressure than genes formed by other modes and evolved toward biased functional roles involved in plant self-defense. The rate of gene conversion among WGD-derived gene pairs declined over time, peaking shortly after polyploidization. To provide a platform for accessing duplicated gene pairs in different plants, we constructed the Plant Duplicate Gene Database. We identify a comprehensive landscape of different modes of gene duplication across the plant kingdom by comparing 141 genomes, which provides a solid foundation for further investigation of the dynamic evolution of duplicate genes.

/pdf/gene-duplication-and-evolution-in-recurring-polyploidization-1tk6fsc37e.pdf

Gene duplication and evolution in recurring polyploidization-diploidization cycles in plants.

PLAZA (https://bioinformatics.psb.ugent.be/plaza) is a plant-oriented online resource for comparative, evolutionary and functional genomics. The PLAZA platform consists of multiple independent instances focusing on different plant clades, while also providing access to a consistent set of reference species. Each PLAZA instance contains structural and functional gene annotations, gene family data and phylogenetic trees and detailed gene colinearity information. A user-friendly web interface makes the necessary tools and visualizations accessible, specific for each data type. Here we present PLAZA 4.0, the latest iteration of the PLAZA framework. This version consists of two new instances (Dicots 4.0 and Monocots 4.0) providing a large increase in newly available species, and offers access to updated and newly implemented tools and visualizations, helping users with the ever-increasing demands for complex and in-depth analyzes. The total number of species across both instances nearly doubles from 37 species in PLAZA 3.0 to 71 species in PLAZA 4.0, with a much broader coverage of crop species (e.g. wheat, palm oil) and species of evolutionary interest (e.g. spruce, Marchantia). The new PLAZA instances can also be accessed by a programming interface through a RESTful web service, thus allowing bioinformaticians to optimally leverage the power of the PLAZA platform.

https://biblio.ugent.be/publication/8558157/file/8558161.pdf

PLAZA 4.0 : an integrative resource for functional, evolutionary and comparative plant genomics

Crop Breeding Chips and Genotyping Platforms: Progress, Challenges, and Perspectives

Synchronous pod maturity is critical for increasing grain yield. The candidate genes involved in synchronous pod maturity were identified through RNA-seq and HPLC.
 Mungbean (Vigna radiata [L.] Wilczek), an important source of carbohydrate and protein in Asia, is characterized by nonsynchronous pod maturity; consequently, harvesting is labor intensive. Because pod maturity is associated with synthesis and remobilization of sucrose, we examined changes in sucrose levels and transcriptome in leaf (source) tissues after pod (sink) removal using two genotypes, VC1973A and V2984; VC1973A had higher synchronicity in pod maturity than V2984. After pod removal, much higher number of pods were produced in V2984 than VC1973A. The sucrose content of leaf tissues significantly decreased in V2984 because it continued to utilize assimilates from leaves for producing new pods, but significantly increased in VC1973A because of the loss of sink. Transcriptome analysis revealed that the number of differentially expressed genes was approximately fourfold higher in VC1973A than in those of V2984 after pod removal. The expression of two paralogous genes (Vradi01g05010 and Vradi10g08240), encoding beta-glucosidase enzymes, significantly decreased in VC1973A after pod removal and was significantly lower in depodded VC1973A than depodded V2984, indicating these two genes may participate in sucrose utilization for seed development by regulating the level of glucose. The results of this study will help elucidate the genetic basis of synchronous pod maturity in mungbean and facilitate the development of new cultivars with synchronous pod maturity.

Transcriptomic and biochemical analyses of the accumulation of sucrose in mungbean (Vigna radiata (L.) Wilczek) leaves after pod removal

The availability of next generation sequencing instruments has made large-scale and genome-wide sequence analysis more feasible in a wild variety of species with large complex genomes, especially crops. This report suggested an approach for characterizing large complex genomes of less-studied/orphan crops. Degenerate oligonucleotide primed PCR (DOP-PCR) is a useful tool for the survey of genomes in less-studied/orphan crops, as prior sequence information is not necessary. Here, four different degenerate primers were redesigned from previously described DOP-PCR primers. The degeneracy of these primers was increased with the addition of two more ‘Ns’. The amplified DOP-PCR products from Sinpaldalkong 2, a soybean genotype, were applied to GS-FLX and the reads from Sinpaldalkong 2 were mapped against Williams 82 as a reference (http://www.phytozome.net/soybean.php), using the Burrows-Wheeler Aligner (http://bio-bwa.sourceforge.net/). These results suggest the identification of 4 single nucleotide polymorphisms between Sinpaldalkong 2 and Williams 82 and recent duplication of the soybean genome. The sequenced reads were subsequently assembled into contigs by Newbler under default conditions. A total of 29 Sinpaldalkong 2 contigs exhibited 95% similarity and < E-100 when mega-blasted with Williams 82 reference sequences. These contigs were mapped to the soybean chromosomes and positioned as clusters within each chromosome. Most of the contigs also showed similarity with the Arabidopsis RNase H domain-containing protein, suggesting a potential way to study retrotransposons in less-studied/orphan crops. Using these modified DOP-PCR primers and GS-FLX, it is possible to obtain insight into the large complex genomes of less-studied/orphan crops.

Genome-wide scan of the soybean genome using degenerate oligonucleotide primed PCR: an example for studying large complex genome structure

Plant somatic cells can be reprogrammed into a pluripotent cell mass, called callus, which can be subsequently used for de novo shoot regeneration through a two-step in vitro tissue culture method. MET1-dependent CG methylation has been implicated in plant regeneration in Arabidopsis, because the met1-3 mutant exhibits increased shoot regeneration compared with the wild-type. To understand the role of MET1 in de novo shoot regeneration, we compared the genome-wide DNA methylomes and transcriptomes of wild-type and met1-3 callus and leaf. The CG methylation patterns were largely unchanged during leaf-to-callus transition, suggesting that the altered regeneration phenotype of met1-3 was caused by the constitutively hypomethylated genes, independent of the tissue type. In particular, MET1-dependent CG methylation was observed at the blue light receptor genes, CRYPTOCHROME 1 (CRY1) and CRY2, which reduced their expression. Coexpression network analysis revealed that the CRY1 gene was closely linked to cytokinin signaling genes. Consistently, functional enrichment analysis of differentially expressed genes in met1-3 showed that gene ontology terms related to light and hormone signaling were overrepresented. Overall, our findings indicate that MET1-dependent repression of light and cytokinin signaling influences plant regeneration capacity and shoot identity establishment.

MET1-Dependent DNA Methylation Represses Light Signaling and Influences Plant Regeneration in Arabidopsis.

Gene expression is delicately controlled via multilayered genetic and/or epigenetic regulatory mechanisms. Rapid development of the high-throughput sequencing (HTS) technology and its derivative methods including chromatin immunoprecipitation sequencing (ChIP-seq) and DNA affinity purification sequencing (DAP-seq) have generated a large volume of data on DNA-protein interactions (DPIs) and histone modifications on a genome-wide scale. However, the ability to comprehensively retrieve empirically validated upstream regulatory networks of genes of interest (GOIs) and genomic regions of interest (ROIs) remains limited. Here, we present integrative Regulatory Network (iRegNet), a web application that analyzes the upstream regulatory network for user-queried GOIs or ROIs in the Arabidopsis (Arabidopsis thaliana) genome. iRegNet covers the largest empirically proven DNA-binding profiles of Arabidopsis transcription factors (TFs) and non-TF proteins, and histone modifications obtained from all currently available Arabidopsis ChIP-seq and DAP-seq data. iRegNet not only catalogs upstream regulomes and epigenetic chromatin states for single-query gene/genomic region but also suggests significantly overrepresented upstream genetic regulators and epigenetic chromatin states of user-submitted multiple query genes/genomic regions. Furthermore, gene-to-gene coexpression index and protein-protein interaction information were also integrated into iRegNet for a more reliable identification of upstream regulators and realistic regulatory networks. Thus, iRegNet will help discover upstream regulators as well as molecular regulatory networks of GOI(s) and/or ROI(s), and is freely available at http://chromatindynamics.snu.ac.kr:8082/iRegNet_main.

iRegNet: an integrative Regulatory Network analysis tool for Arabidopsis thaliana.

EAT-UpTF (Enrichment Analysis Tool for Upstream Transcription Factors of a gene group) is an open-source Python script that analyzes the enrichment of upstream transcription factors (TFs) in a group of genes-of-interest (GOIs). EAT-UpTF utilizes genome-wide lists of TF-target genes generated by DNA affinity purification followed by sequencing (DAP-seq) or chromatin immunoprecipitation followed by sequencing (ChIP-seq). Unlike previous methods based on the two-step prediction of cis-motifs and DNA-element-binding TFs, our EAT-UpTF analysis enabled a one-step identification of enriched upstream TFs in a set of GOIs using lists of empirically determined TF-target genes.

/pdf/eat-uptf-enrichment-analysis-tool-for-upstream-transcription-1ogqtwlrws.pdf

Sangrea Shim

Papers

Transcriptomic and biochemical analyses of the accumulation of sucrose in mungbean (Vigna radiata (L.) Wilczek) leaves after pod removal

Genome-wide scan of the soybean genome using degenerate oligonucleotide primed PCR: an example for studying large complex genome structure

MET1-Dependent DNA Methylation Represses Light Signaling and Influences Plant Regeneration in Arabidopsis.

iRegNet: an integrative Regulatory Network analysis tool for Arabidopsis thaliana.

EAT-UpTF: Enrichment Analysis Tool for Upstream Transcription Factors of a gene group