The draft genome reveals early duplication event in Pterocarpus santalinus: an endemic timber species.

MAIN CONCLUSION: A 541 Mb draft genome of Pterocarpus santalinus is presented and evidence of whole-genome duplication in the Eocene period with expansion of drought responsive gene families is documented. Pterocarpus santalinus Linn. f., popularly known as Red Sanders, is a deciduous tree, endemic to southern parts of Eastern Ghats in India. The heartwood is highly valued in the international market due to its deep red colour, fragrant heartwood and wavy grained texture. In the present study, a high-quality draft genome of P. santalinus was assembled using short and long reads generated from Illumina and Oxford Nanopore Sequencing platforms, respectively. The haploid genome size was estimated at 541 Mb and the hybrid assembly showed 99.60% genome completeness. A total of 51,713 consensus gene set were predicted with 31,437 annotated genes. The age of the whole-genome duplication event in the species was dated at 30-39 mya with 95% confidence suggesting early genome duplication event during the Eocene period. Concurrently, phylogenomic assessment of seven Papilionoideae members including P. santalinus grouped the species based on the tribal classification and established divergence of the tribe Dalbergieae from tribe Trifolieae at ~ 54.20 mya. A significant expansion of water deprivation/drought responsive gene families documented in the study probably explains the occurrence of the species in dry rocky patches. Additionally, re-sequencing of six diverse genotypes predicted one variant every 27 bases. This report presents the first draft genome in the genus Pterocarpus and the unprecedented genomic information generated is expected to accelerate population divergence studies in the species in relation to its endemic nature, support trait-based breeding programme and aid in development of diagnostic tools for timber forensics.

Identification of potential MTAs and candidate genes for juice quality- and yield-related traits in Saccharum clones: a genome-wide association and comparative genomic study.

Sugarcane is an economically important commercial crop which provides raw material for the production of sugar, jaggery, bioethanol, biomass and other by-products. Sugarcane breeding till today heavily relies on conventional breeding approaches which is time consuming, laborious and costly. Integration of marker-assisted selection (MAS) in sugarcane genetic improvement programs for difficult to select traits like sucrose content, resistance to pests and diseases and tolerance to abiotic stresses will accelerate varietal development. In the present study, association mapping approach was used to identify QTLs and genes associated with sucrose and other important yield-contributing traits. A mapping panel of 110 diverse sugarcane genotypes and 148 microsatellite primers were used for structured association mapping study. An optimal subpopulation number (ΔK) of 5 was identified by structure analysis. GWAS analysis using TASSEL identified a total of 110 MTAs which were localized into 27 QTLs by GLM and MLM (Q + K, PC + K) approaches. Among the 24 QTLs sequenced, 12 were able to identify potential candidate genes, viz., starch branching enzyme, starch synthase 4, sugar transporters and G3P-DH related to carbohydrate metabolism and hormone pathway-related genes ethylene insensitive 3-like 1, reversion to ethylene sensitive1-like, and auxin response factor associated to juice quality- and yield-related traits. Six markers, NKS 5_185, SCB 270_144, SCB 370_256, NKS 46_176 and UGSM 648_245, associated with juice quality traits and marker SMC31CUQ_304 associated with NMC were validated and identified as significantly associated to the traits by one-way ANOVA analysis. In conclusion, 24 potential QTLs identified in the present study could be used in sugarcane breeding programs after further validation in larger population. The candidate genes from carbohydrate and hormone response pathway presented in this study could be manipulated with genome editing approaches to further improve sugarcane crop.

Reference-based assembly of chloroplast genome from leaf transcriptome data of Pterocarpus santalinus.

Chloroplast genome sequencing is an essential tool to understand genome evolution and phylogenetic relationship. The available methods for constructing chloroplast genome include chloroplast enrichment followed by long overlapping PCR or extraction and assembly of chloroplast-specific reads from whole-genome datasets. In the present study, we propose an alternate strategy of extraction and assembly of chloroplast-specific reads from leaf transcriptome data of Pterocarpus santalinus using bowtie2 aligner program. The assembled genome was compared with the published chloroplast genome of P. santalinus for genome size, number of predicted genes, microsatellite repeat motifs, and nucleotide repeats. A near-complete chloroplast genome was assembled from the transcriptome reads. The proposed method requires less computational time and know-how, limited virtual memory, and is cost-effective when compared to whole-genome sequencing. Assembly of Cp genome from transcriptome data will enhance the resolution of phylogenetic studies through comparative plastome analysis, facilitate accurate species/genotype discrimination and accelerate the development of transplastomic plants with enhanced biotic and abiotic tolerance. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s13205-021-02943-0.