Development and characterization of non-coding RNA based simple sequence repeat markers in Capsicum species

Modern day breeding approaches for improvement of castor

Castor (Ricinus communis L.) is an industrially important oil producing crop belongs to Euphorbiaceae family. Castor oil has unique chemical properties make it industrially important crop. It is a member of monotypic genus even though it has ample amount of variability. Using this variability, conventionally many varieties and hybrids have been developed. But, like other crops, the modern and unconventional methods of crop improvement has not fully explored in castor. This article discusses the use of polyploidy induction, distant/wide hybridization and mutation breeding as tools for generating variety. Modern approaches accelerate the speed of crop breeding as an alternative tool. To achieve this goal, molecular markers are employed in breeding to capture the genetic variability through molecular analysis and population structuring. Allele mining is used to trace the evolution of alleles, identify new haplotypes and produce allele specific markers for use in marker aided selection using Genome wide association studies (GWAS) and quantitative trait loci (QTL) mapping. Plant genetic transformation is a rapid and effective mode of castor improvement is also discussed here. The efforts towards developing stable regeneration protocol provide a wide range of utility like embryo rescue in distant crosses, development of somaclonal variation, haploid development using anther culture and callus development for stable genetic transformation has reviewed in this article. Omics has provided intuitions to the molecular mechanisms of (a)biotic stress management in castor along with dissected out the possible genes for improving the yield. Relating genes to traits offers additional scientific inevitability leading to enhancement and sympathetic mechanisms of yield improvement and several stress tolerance.

A comprehensive review on genomic resources in medicinally and industrially important major spices for future breeding programs: Status, utility and challenges

In the global market, spices possess a high-value but low-volume commodities of commerce. The food industry depends largely on spices for taste, flavor, and therapeutic properties in replacement of cheap synthetic ones. The estimated growth rate for spices demand in the world is ∼3.19%. Since spices grow in limited geographical regions, India is one of the leading producer of spices, contributing 25-30 percent of total world trade. Hitherto, there has been no comprehensive review of the genomic resources of industrially important major medicinal spices to overcome major impediments in varietal improvement and management. This review focuses on currently available genomic resources of 24 commercially significant spices, namely, Ajwain, Allspice, Asafoetida, Black pepper, Cardamom large, Cardamom small, Celery, Chillies, Cinnamon, Clove, Coriander, Cumin, Curry leaf, Dill seed, Fennel, Fenugreek, Garlic, Ginger, Mint, Nutmeg, Saffron, Tamarind, Turmeric and Vanilla. The advent of low-cost sequencing machines has contributed immensely to the voluminous data generation of these spices, cracking the complex genomic architecture, marker discovery, and understanding comparative and functional genomics. This review of spice genomics resources concludes the perspective and way forward to provide footprints by uncovering genome assemblies, sequencing and re-sequencing projects, transcriptome-based studies, non-coding RNA-mediated regulation, organelles-based resources, developed molecular markers, web resources, databases and AI-directed resources in candidate spices for enhanced breeding potential in them. Further, their integration with molecular breeding could be of immense use in formulating a strategy to protect and expand the production of the spices due to increased global demand.

Diversity and expression analysis of ZIP transporters and associated metabolites under zinc and iron stress in Capsicum

The members of ZRT, IRT-like protein (ZIP) family are involved in the uptake and transportation of several metal ions. Here, we report a comprehensive identification of ZIP transporter genes from Capsicum annuum, C. chinense, and C. baccatum, and their expression analysis under Zn and Fe stress. Changes in root morphology and differential accumulation of several metabolites from sugars, amino acids, carboxylic acids, and fatty acids in root and leaf tissues of plants in the absence of Zn and Fe were observed. Further, metabolites such as L-aspartic acid, 2-ketoglutaric acids, β-L-fucopyranose, quininic acid, chlorogenic acid, and aucubin were significantly upregulated in root and leaf tissues under Zn/Fe deprived conditions. qRT-PCR analysis of 17 CaZIPs in different tissues revealed tissue-specific expression of CaZIP1-2, CaZIP4-8, CaZIP13, and CaZIP16-17 under normal conditions. However, the absence of Zn and Fe significantly induced the expression of CaZIP4-5, CaZIP7-9, and CaZIP14 genes in root and leaf tissues. Additionally, in the absence of Fe, upregulation of CaZIP4-5 and CaZIP8 and increased uptake of mineral elements Cu, Zn, Mg, P, and S were observed in roots, suggesting their potential role in metal-ion uptake in Capsicum. The identified genes provide the basis for future studies of mineral uptake and their biofortification to increase the nutritional values in Capsicum.

Integrated analysis of DNA methylation, transcriptome, and global metabolites in interspecific heterotic Capsicum F1 hybrid

Hybrid breeding is one of the efficacious methods of crop improvement. Here, we report our work towards understanding the molecular basis of F1 hybrid heterosis from Capsicum chinense and C. frutescens cross. Bisulfite sequencing identified a total of 70597 CG, 108797 CHG, and 38418 CHH differentially methylated regions (DMRs) across F₁ hybrid and parents, and of these, 4891 DMRs showed higher methylation in F₁ compared to the mid-parental methylation values (MPMV). Transcriptome analysis showed higher expression of 46–55% differentially expressed genes (DE-Gs) in the F₁ hybrid. The qRT-PCR analysis of 24 DE-Gs with negative promoter methylation revealed 91.66% expression similarity with the transcriptome data. A few metabolites and 65–72% enriched genes in metabolite biosynthetic pathways showed overall increased expression in the F₁ hybrid compared to parents. These findings, taken together, provided insights into the integrated role of DNA methylation, and genes and metabolites expression in the manifestation of heterosis in Capsicum.

•

Global methylation identified significantly different proportions of mCs in hybrid

•

Of common DMRs, 33.08% showed different methylation in hybrid from the mid-parental value

•

Negatively correlated DEG pDMR-genes were enriched in metabolic pathways

•

Significant higher expression of metabolites and DE-Gs were identified in the F₁ hybrid

NCodR: A multi-class support vector machine classification to distinguish non-coding RNAs in Viridiplantae

Non-coding RNAs (ncRNAs) are major players in the regulation of gene expression. This study analyses seven classes of ncRNAs in plants using sequence and secondary structure-based RNA folding measures. We observe distinct regions in the distribution of AU content along with overlapping regions for different ncRNA classes. Additionally, we find similar averages for minimum folding energy index across various ncRNAs classes except for pre-miRNAs and lncRNAs. Various RNA folding measures show similar trends among the different ncRNA classes except for pre-miRNAs and lncRNAs. We observe different k-mer repeat signatures of length three among various ncRNA classes. However, in pre-miRs and lncRNAs, a diffuse pattern of k-mers is observed. Using these attributes, we train eight different classifiers to discriminate various ncRNA classes in plants. Support vector machines employing radial basis function show the highest accuracy (average F1 of ~96%) in discriminating ncRNAs, and the classifier is implemented as a web server, NCodR.

Capsicum chinense MYB Transcription Factor Genes: Identification, Expression Analysis, and Their Conservation and Diversification With Other Solanaceae Genomes

Myeloblastosis (MYB) genes are important transcriptional regulators of plant growth, development, and secondary metabolic biosynthesis pathways, such as capsaicinoid biosynthesis in Capsicum. Although MYB genes have been identified in Capsicum annuum, no comprehensive study has been conducted on other Capsicum species. We identified a total of 251 and 240 MYB encoding genes in Capsicum chinense MYBs (CcMYBs) and Capsicum baccatum MYBs (CbMYBs). The observation of twenty tandem and 41 segmental duplication events indicated expansion of the MYB gene family in the C. chinense genome. Five CcMYB genes, i.e., CcMYB101, CcMYB46, CcMYB6, CcPHR8, and CcRVE5, and two CaMYBs, i.e., CaMYB3 and CaHHO1, were found within the previously reported capsaicinoid biosynthesis quantitative trait loci. Based on phylogenetic analysis with tomato MYB proteins, the Capsicum MYBs were classified into 24 subgroups supported by conserved amino acid motifs and gene structures. Also, a total of 241 CcMYBs were homologous with 225 C. annuum, 213 C. baccatum, 125 potato, 79 tomato, and 23 Arabidopsis MYBs. Synteny analysis showed that all 251 CcMYBs were collinear with C. annuum, C. baccatum, tomato, potato, and Arabidopsis MYBs spanning over 717 conserved syntenic segments. Using transcriptome data from three fruit developmental stages, a total of 54 CcMYBs and 81 CaMYBs showed significant differential expression patterns. Furthermore, the expression of 24 CcMYBs from the transcriptome data was validated by quantitative real-time (qRT) PCR analysis. Eight out of the 24 CcMYBs validated by the qRT-PCR were highly expressed in fiery hot C. chinense than in the lowly pungent C. annuum. Furthermore, the co-expression analysis revealed several MYB genes clustered with genes from the capsaicinoid, anthocyanin, phenylpropanoid, carotenoid, and flavonoids biosynthesis pathways, and related to determining fruit shape and size. The homology modeling of 126 R2R3 CcMYBs showed high similarity with that of the Arabidopsis R2R3 MYB domain template, suggesting their potential functional similarity at the proteome level. Furthermore, we have identified simple sequence repeat (SSR) motifs in the CcMYB genes, which could be used in Capsicum breeding programs. The functional roles of the identified CcMYBs could be studied further so that they can be manipulated for Capsicum trait improvement.

Identification of lncRNAs in response to infection by Plasmodiophora brassicae in Brassica napus and development of lncRNA-based SSR markers

Clubroot resistance in spring canola has been introgressed from different Brassica sources; however, molecular mechanism underlying this resistance, especially the involvement of long non-coding RNAs (lncRNAs), is yet to be understood. We identified 464 differentially expressed (DE) lncRNAs from the roots of clubroot-resistant canola, carrying resistance on chromosome BnaA03, and susceptible canola lines challenged with Plasmodiophora brassicae pathotype 3. Pathway enrichment analysis showed that most of the target genes regulated by these DE lncRNAs belonged to plant-pathogen interaction and hormone signaling, as well as primary and secondary metabolic pathways. Comparative analysis of these lncRNAs with 530 previously reported DE lncRNAs, identified using resistance located on BnaA08, detected 12 lncRNAs that showed a similar trend of upregulation in both types of resistant lines; these lncRNAs probably play a fundamental role in clubroot resistance. We identified SSR markers within 196 DE lncRNAs. Genotyping of two DH populations carrying resistance on BnaA03 identified a marker capable of detecting the resistance in 98% of the DH lines. To our knowledge, this is the first report of the identification of SSRs within lncRNAs responsive to P. brassicae infection, demonstrating the potential use of lncRNAs in the breeding of Brassica crops.

Genome-wide identification and characterization of novel non-coding RNA-derived SSRs in wheat

Expression of eukaryotic genes is largely regulated by non-coding RNAs (ncRNA). Sequence variations in the regulatory RNAs may have critical biological consequences including transcriptional and post-transcriptional gene regulation. ncRNA-derived markers thus can be proved useful in molecular breeding, QTL mapping and association studies for trait dissection. In present study, we identified a total of 661 SSRs dwelling in pre-miRNA (15), small nuclear RNA (25) and lncRNA (621). Of these, 46 were validated and 100% amplification success was observed in selected wheat genotypes. A set of 36 ncRNA-SSRs markers was utilized for genetic variability assessment in forty-eight Indian wheat genotypes (which includes bread wheat, durum wheat and relatives). Number of alleles ranged from 1 to 4 with an average of two alleles per SSR locus. Mean PIC, observed heterozygosity and Shannon information index were found to be 0.258, 0.37 and 0.476 which suggests ncRNA-SSRs show higher polymorphism compared to genic SSRs but lower polymorphism compared to genomic SSRs. Thirty-six ncRNA-SSRs showed transferability ranging from 42.1% to 100%. Average genetic dissimilarity among wheat genotypes was found to be 0.29 based on Jaccard's dissimilarity. This is the first report of ncRNA-SSRs in wheat which will be useful for molecular breeding and genetic improvement of wheat.