High resolution mapping of QTLs for fruit color and firmness in Amrapali/Sensation mango hybrids

Introduction

Mango (Mangifera indica L.), acclaimed as the 'king of fruits' in the tropical world, has historical, religious, and economic values. It is grown commercially in more than 100 countries, and fresh mango world trade accounts for ~3,200 million US dollars for the year 2020. Mango is widely cultivated in sub-tropical and tropical regions of the world, with India, China, and Thailand being the top three producers. Mango fruit is adored for its taste, color, flavor, and aroma. Fruit color and firmness are important fruit quality traits for consumer acceptance, but their genetics is poorly understood.

Methods

For mapping of fruit color and firmness, mango varieties Amrapali and Sensation, having contrasting fruit quality traits, were crossed for the development of a mapping population. Ninety-two bi-parental progenies obtained from this cross were used for the construction of a high-density linkage map and identification of QTLs. Genotyping was carried out using an 80K SNP chip array.

Results and discussion

Initially, we constructed two high-density linkage maps based on the segregation of female and male parents. A female map with 3,213 SNPs and male map with 1,781 SNPs were distributed on 20 linkages groups covering map lengths of 2,844.39 and 2,684.22cM, respectively. Finally, the integrated map was constructed comprised of 4,361 SNP markers distributed on 20 linkage groups, which consisted of the chromosome haploid number in Mangifera indica (n =20). The integrated genetic map covered the entire genome of Mangifera indica cv. Dashehari, with a total genetic distance of 2,982.75 cM and an average distance between markers of 0.68 cM. The length of LGs varied from 85.78 to 218.28 cM, with a mean size of 149.14 cM. Phenotyping for fruit color and firmness traits was done for two consecutive seasons. We identified important consistent QTLs for 12 out of 20 traits, with integrated genetic linkages having significant LOD scores in at least one season. Important consistent QTLs for fruit peel color are located at Chr 3 and 18, and firmness on Chr 11 and 20. The QTLs mapped in this study would be useful in the marker-assisted breeding of mango for improved efficiency.

Ethrel-induced release of fresh seed dormancy causes remodelling of amylase activity, proteomics, phytohormone and fatty acid profile of groundnut (Arachis hypogaea L.)

It is important to have a short period of fresh seed dormancy in some of the groundnut species to counter pre-harvest sprouting (PHS). One of the main causes of PHS is the activation of ethylene-mediated pathways. To determine the effect of ethylene, the study was conducted and alterations in amylase, proteins and fatty acids were observed at the 0, 6, 12, and 24 h stages after ethrel administration. The result showed an increase in amylase activity, and the fatty acids profile showed a unique alteration pattern at different germination stages. Two-dimensional gel electrophoresis (2DGE) revealed differential expression of proteins at each stage. The trypsin digestion following spectral development through UPLC-MS/MS enabled identification of number of differentially expressed proteins. A total of 49 proteins were identified from 2DGE excised spots. The majority were belonged to seed storage-related proteins like Arah1, Arah2, AAI- domain containing protein, conglutin, Arah3/4, arachin, glycinin. Expression of lipoxygenase1, lipoxygenase9 and Arah2 genes were further confirmed by qRT-PCR which showed its involvement at transcript level. Up-regulation of lipoxygenase9 is correlated with decreased content of fatty acids during germination. Phytohormone detection revealed decrease in ABA, SA and JA content which are generally inhibitor of seed germination while GA, IAA and kinetin concentration increased revealing positive regulation of seed germination. We present an integrated view of proteomics, phytohormone profile, carbohydrate and lipid metabolism to unravel mechanism of fresh seed dormancy.

Supplementary Information

The online version contains supplementary material available at 10.1007/s12298-023-01332-6.

Transcriptome analysis of sesame-Macrophomina phaseolina interactions revealing the distinct genetic components for early defense responses

Sesame (Sesamum indicum L.) is an oilseed crop challenged by many biotic stresses. Charcoal rot caused by Macrophomina phaseolina (MP) is one of the most devastating diseases of sesame. Till date, molecular mechanisms of resistance to charcoal rot in sesame is not yet reported. In this study, two sesame variety GT-10 (resistant) and RT-373 (susceptible) were identified with contrasting disease incidence when infected with MP. To get the molecular insight, root samples were collected at 0, 24, 48- and 72-h post inoculation (hpi) with the pathogen and generated RNAseq data was analyzed. A total of 1153 and 1226 differentially expressed genes (DEGS) were identified in GT-10 and RT-373, respectively. During the inoculation with MP, resistant genotype showed high number DEGs at early time point of 24 hpi and when compared to late expression in susceptible genotype at 48 hpi. Distinct clusters were represented for each time period represented by cytochrome P450 83B1-like, single anchor, hypothetical protein C4D60, kirola like and heat shock proteins in the resistant genotype contributing for resistance. Analysis of differentially expressed genes, catalogued the genes involved in synthesis of pathogenesis-related (PR) proteins, MYB, WRKY, leucine zipper protein, bHLH, bZIP and NAC transcription factors, ABC transporters (B, C and G subfamily), glutathione metabolism, secondary metabolites, fatty acid biosynthesis and phytohormones like auxin, abscisic acid, ethylene and gibberellic acid. Additionally, in the resistant response we have found three unique GO terms including ATP binding, ribonucleotide binding and nucleic acid binding in molecular function category. The molecular clues generated through this work will provide an important resource of genes contributing for disease resistance and could prioritize genes for functional validation in the important oil crop.

SUPPLEMENTARY INFORMATION

The online version contains supplementary material available at 10.1007/s12298-021-01039-6.