RNA Sequencing-Based Bulked Segregant Analysis Facilitates Efficient D-genome Marker Development for a Specific Chromosomal Region of Synthetic Hexaploid Wheat

Transcript profiling of hairy vetch (Vicia villosa Roth) identified interesting genes for seed dormancy

Hairy vetch, a diploid annual legume species, has a robust growth habit, high biomass yield, and winter hardy characteristics. Seed hardness is a major constraint for growing hairy vetch commercially. Hard seeded cultivars are valuable as forages, whereas soft seeded and shatter resistant cultivars have advantages for their use as a cover crop. Transcript analysis of hairy vetch was performed to understand the genetic mechanisms associated with important hairy vetch traits. RNA was extracted from leaves, flowers, immature pods, seed coats, and cotyledons of contrasting soft and hard seeded "AU Merit" plants. A range of 31.22-79.18 Gb RNA sequence data per tissue sample were generated with estimated coverage of 1040-2639×. RNA sequence assembly and mapping of the contigs against the Medicago truncatula (V4.0) genome identified 76,422 gene transcripts. A total of 24,254 transcripts were constitutively expressed in hairy vetch tissues. Key genes, such as KNOX4 (a class II KNOTTED-like homeobox KNOXII gene), qHs1 (endo-1,4-β-glucanase), GmHs1-1 (calcineurin-like metallophosphoesterase), chitinase, shatterproof 1 and 2 (SHP1, SHP2), shatter resistant 1-5 (SHAT1-5)(NAC transcription factor), PDH1 (prephenate dehydrogenase 1), and pectin methylesterases with a potential role in seed hardness and pod shattering, were further explored based on genes involved in seed hardness from other species to query the hairy vetch transcriptome data. Identification of interesting candidate genes in hairy vetch can facilitate the development of improved cultivars with desirable seed characteristics for use as a forage and as a cover crop.

Comparative Analysis of Chloroplast Genome in Saccharum spp. and Related Members of ‘Saccharum Complex’

High ploids of the sugarcane nuclear genome limit its genomic studies, whereas its chloroplast genome is small and conserved, which is suitable for phylogenetic studies and molecular marker development. Here, we applied whole genome sequencing technology to sequence and assemble chloroplast genomes of eight species of the ‘Saccharum Complex’, and elucidated their sequence variations. In total, 19 accessions were sequenced, and 23 chloroplast genomes were assembled, including 6 species of Saccharum (among them, S. robustum, S. sinense, and S. barberi firstly reported in this study) and 2 sugarcane relative species, Tripidium arundinaceum and Narenga porphyrocoma. The plastid phylogenetic signal demonstrated that S. officinarum and S. robustum shared a common ancestor, and that the cytoplasmic origins of S. sinense and S. barberi were much more ancient than the S. offcinarum/S. robustum linage. Overall, 14 markers were developed, including 9 InDel markers for distinguishing Saccharum from its relative species, 4 dCAPS markers for distinguishing S. officinarum from S. robustum, and 1 dCAPS marker for distinguishing S. sinense and S. barberi from other species. The results obtained from our studies will contribute to the understanding of the classification and plastome evolution of Saccharinae, and the molecular markers developed have demonstrated their highly discriminatory power in Saccharum and relative species.

Candidate sex-associated gene identification in Trachinotus ovatus (Carangidae) using an integrated SLAF-seq and bulked segregant analysis approach

It is difficult to distinguish the sexes of Trachinotus ovatus based on appearance, and little data about sex-determining genes are available for this species. Here, we generated 200 F2 individuals using the parents R404 and R403. DNA samples were collected from 50 individuals of each sex and aggregated into sex-specific DNA pools. Specific-locus amplified fragment sequencing was integrated with bulked segregant analysis to detect candidate sex-associated genes. Approximately 3,153,153 high-quality single-nucleotide polymorphism (SNP) markers and 135,363 high-quality insertion-deletion (Indel) markers were generated. Six candidate regions within chromosome 14, encompassing 132 candidate genes, were identified as closely related to sex. Based on annotations, six genes (EVM0019817, EVM0004192, EVM0001445, EVM0005260, EVM0014734, and EVM0009626) were predicted to be closely associated with sex. These results present an efficient genetic mapping approach that lays a foundation for molecular sex discrimination in T. ovatus.

RNA-Seq-based DNA marker analysis of the genetics and molecular evolution of Triticeae species

The release of high-quality chromosome-level genome sequences of members of the Triticeae tribe has greatly facilitated genetic and genomic analyses of important crops such as wheat (Triticum aestivum) and barley (Hordeum vulgare). Due to the large diploid genome size of Triticeae plants (ca. 5 Gbp), transcript analysis is an important method for identifying genetic and genomic differences among Triticeae species. In this review, we summarize our results of RNA-Seq analyses of diploid wheat accessions belonging to the genera Aegilops and Triticum. We also describe studies of the molecular relationships among these accessions and provide insight into the evolution of common hexaploid wheat. DNA markers based on polymorphisms within species can be used to map loci of interest. Even though the genome sequence of diploid Aegilops tauschii, the D-genome donor of common wheat, has been released, the diploid barley genome continues to provide key information about the physical structures of diploid wheat genomes. We describe how a series of RNA-Seq analyses of wheat relatives has helped uncover the structural and evolutionary features of genomic and genetic systems in wild and cultivated Triticeae species.

BSR-Seq analysis provides insights into the cold stress response of Actinidia arguta F1 populations

BACKGROUND

Freezing injury, which is an important abiotic stress in horticultural crops, influences the growth and development and the production area of kiwifruit (Actinidia Lind1). Among Actinidia species, Actinidia arguta has excellent cold resistance, but knowledge relevant to molecular mechanisms is still limited. Understanding the mechanism underlying cold resistance in kiwifruit is important for breeding cold resistance.

RESULTS

In our study, a population resulting from the cross of A. arguta 'Ruby-3' × 'Kuilv' male was generated for kiwifruit hardiness study, and 20 cold-tolerant and 20 cold-sensitive populations were selected from 492 populations according to their LT50. Then, we performed bulked segregant RNA-seq combined with single-molecule real-time sequencing to identify differentially expressed genes that provide cold hardiness. We found that the content of soluble sucrose and the activity of β-amylase were higher in the cold-tolerant population than in the cold-sensitive population. Upon - 30 °C low-temperature treatment, 126 differentially expressed genes were identify; the expression of 59 genes was up-regulated and that of 67 genes was down-regulated between the tolerant and sensitive pools, respectively. KEGG pathway analysis showed that the DEGs were primarily related to starch and sucrose metabolism, amino sugar and nucleotide sugar metabolism. Ten major key enzyme-encoding genes and two regulatory genes were up-regulated in the tolerant pool, and regulatory genes of the CBF pathway were found to be differentially expressed. In particular, a 14-3-3 gene was down-regulated and an EBF gene was up-regulated. To validate the BSR-Seq results, 24 DEGs were assessed via qRT-PCR, and the results were consistent with those obtained by BSR-Seq.

CONCLUSION

Our research provides valuable insights into the mechanism related to cold resistance in Actinidia and identified potential genes that are important for cold resistance in kiwifruit.

Next Generation Sequencing Based Forward Genetic Approaches for Identification and Mapping of Causal Mutations in Crop Plants: A Comprehensive Review

The recent advancements in forward genetics have expanded the applications of mutation techniques in advanced genetics and genomics, ahead of direct use in breeding programs. The advent of next-generation sequencing (NGS) has enabled easy identification and mapping of causal mutations within a short period and at relatively low cost. Identifying the genetic mutations and genes that underlie phenotypic changes is essential for understanding a wide variety of biological functions. To accelerate the mutation mapping for crop improvement, several high-throughput and novel NGS based forward genetic approaches have been developed and applied in various crops. These techniques are highly efficient in crop plants, as it is relatively easy to grow and screen thousands of individuals. These approaches have improved the resolution in quantitative trait loci (QTL) position/point mutations and assisted in determining the functional causative variations in genes. To be successful in the interpretation of NGS data, bioinformatics computational methods are critical elements in delivering accurate assembly, alignment, and variant detection. Numerous bioinformatics tools/pipelines have been developed for such analysis. This article intends to review the recent advances in NGS based forward genetic approaches to identify and map the causal mutations in the crop genomes. The article also highlights the available bioinformatics tools/pipelines for reducing the complexity of NGS data and delivering the concluding outcomes.

Appraisal of wheat genomics for gene discovery and breeding applications: a special emphasis on advances in Asia

We discussed the most recent efforts in wheat functional genomics to discover new genes and their deployment in breeding with special emphasis on advances in Asian countries. Wheat research community is making significant progress to bridge genotype-to-phenotype gap and then applying this knowledge in genetic improvement. The advances in genomics and phenomics have intrigued wheat researchers in Asia to make best use of this knowledge in gene and trait discovery. These advancements include, but not limited to, map-based gene cloning, translational genomics, gene mapping, association genetics, gene editing and genomic selection. We reviewed more than 57 homeologous genes discovered underpinning important traits and multiple strategies used for their discovery. Further, the complementary advancements in wheat phenomics and analytical approaches to understand the genetics of wheat adaptability, resilience to climate extremes and resistance to pest and diseases were discussed. The challenge to build a gold standard reference genome sequence of bread wheat is now achieved and several de novo reference sequences from the cultivars representing different gene pools will be available soon. New pan-genome sequencing resources of wheat will strengthen the foundation required for accelerated gene discovery and provide more opportunities to practice the knowledge-based breeding.