Phenotypic and transcriptomics characterization uncovers genes underlying tuber yield traits and gene expression marker development in potato under aeroponics.

MAIN CONCLUSION: Transcriptome analysis in potato varieties revealed genes associated with tuber yield-related traits and developed gene expression markers. This study aimed to identify genes involved in high tuber yield and its component traits in test potato varieties (Kufri Frysona, Kufri Khyati, and Kufri Mohan) compared to control (Kufri Sutlej). The aeroponic evaluation showed significant differences in yield-related traits in the varieties. Total RNA sequencing was performed using tuber and leaf tissues on the Illumina platform. The high-quality reads (QV > 25) mapping with the reference potato genomes revealed statistically significant (P < 0.05) differentially expressed genes (DEGs) into two categories: up-regulated (> 2 Log2 fold change) and down-regulated (< -2 Log2 fold change). DEGs were characterized by Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways. Collectively, we identified genes participating in sugar metabolism, stress response, transcription factors, phytohormones, kinase proteins, and other genes greatly affecting tuber yield and its related traits. A few selected genes were UDP-glucose glucosyltransferase, glutathion S-transferase, GDSL esterase/lipase, transcription factors (MYB, WRKY, bHLH63, and BURP), phytohormones (auxin-induced protein X10A, and GA20 oxidase), kinase proteins (Kunitz-type tuber invertase inhibitor, BRASSINOSTEROID INSENSITIVE 1-associated receptor kinase 1) and laccase. Based on the selected 17 peptide sequences representing 13 genes, a phylogeny tree and motifs were analyzed. Real time-quantitative polymerase chain reaction (RT-qPCR) analysis was used to validate the RNA-seq results. RT-qPCR based gene expression markers were developed for the genes such as 101 kDa heat shock protein, catechol oxidase B chloroplastic, cysteine protease inhibitor 1, Kunitz-type tuber invertase inhibitor, and laccase to identify high yielding potato genotypes. Thus, our study paved the path for potential genes associated with tuber yield traits in potato under aeroponics.

KASP: a high-throughput genotyping system and its applications in major crop plants for biotic and abiotic stress tolerance.

Advances in plant molecular breeding have resulted in the development of new varieties with superior traits, thus improving the crop germplasm. Breeders can screen a large number of accessions without rigorous and time-consuming phenotyping by marker-assisted selection (MAS). Molecular markers are one of the most imperative tools in plant breeding programmes for MAS to develop new cultivars possessing multiple superior traits. Single nucleotide polymorphisms (SNPs) are ideal for MAS due to their low cost, low genotyping error rates, and reproducibility. Kompetitive Allele Specific PCR (KASP) is a globally recognized technology for SNP genotyping. KASP is an allele-specific oligo extension-based PCR assay that uses fluorescence resonance energy transfer (FRET) to detect genetic variations such as SNPs and insertions/deletions (InDels) at a specific locus. Additionally, KASP allows greater flexibility in assay design, which leads to a higher success rate and the capability to genotype a large population. Its versatility and ease of use make it a valuable tool in various fields, including genetics, agriculture, and medical research. KASP has been extensively used in various plant-breeding applications, such as the identification of germplasm resources, quality control (QC) analysis, allele mining, linkage mapping, quantitative trait locus (QTL) mapping, genetic map construction, trait-specific marker development, and MAS. This review provides an overview of the KASP assay and emphasizes its validation in crop improvement related to various biotic and abiotic stress tolerance and quality traits.

Preoperative evaluation of red blood cell distribution width as a promising biomarker for discriminating between benign and malignant breast tumors and assessing breast cancer activity.

BACKGROUND: The red cell distribution width (RDW) has been recognized as a new prognostic factor in various pathophysiological states including breast cancers. The aim of this study was to compare the RDW values between patients diagnosed with benign and malignant breast tumors and to evaluate the potential of elevated RDW as a biomarker for breast cancer activity. MATERIALS AND METHODS: A cross-sectional study compared RDW values in age-matched cohorts diagnosed with benign and malignant breast lesions and correlated them with prognostic factors for malignant breast tumors. The study excluded individuals with inflammatory disorders, pre-neoplastic disease, hematological disorders, or those taking immunosuppressive or anti-inflammatory medications. The RDW values were measured using an automated hematology analyzer. The study's statistical analysis was conducted using SPSS software at a significance level of 0.05. RESULTS: RDW demonstrated a statistically significant elevation in the cohort of patients with malignant breast tumors, those with metastatic breast tumors, a greater number of infiltrated axillary lymph nodes, larger tumor diameter, and a higher grade of the primary tumor mass. CONCLUSIONS: The findings of this study suggest that RDW has the potential to serve as a biomarker for assessing breast cancer activity and could offer substantial advantages in clinical contexts. The present study is not without limitations, and the authors suggest that a larger multicenter prospective study be conducted to further validate it's efficacy over an extended duration.

Transcriptome profiling and characterization of genes associated with tuberization under high temperature in aeroponics in potato cv. Kufri Anand.

BACKGROUND: High temperature stress is an important abiotic factor, which affects tuberization and ultimately causes heavy yield reduction in potato. OBJECTIVES: Identification and characterization of genes associated with tuberization under high temperature stress is essential for future management through biotechnology. METHODOLOGY: Two contrasting potato varieties Kufri Anand (profuse tuber-bearing) versus Kufri Frysona (very less/scanty tuber-bearing, control) were cultivated in aeroponics under high temperature stress, and transcriptomes were analyzed. RESULTS: Potato cv. Kufri Anand was found superior over control (Kufri Frysona) for tuber yield and its component traits along with root morphology under aeroponics. Transcriptomes of tuber and leaf tissues were analyzed. Statistically significant (p < 0.05) differentially expressed genes (DEGs) were categorised into up-regulated (> 2 log2 fold change, FC) and down-regulated (< -2 log2 FC) genes. DEGs were annotated by gene ontology and KEGG pathways. A few selected up-regulated genes of both tissues were identified, and phylogeny tree and motif analysis were analysed based on 36 peptide sequences representing 15 selected DEGs in this study. Further, gene expression markers were developed and validated by real time qPCR analysis for the identification of high temperature tolerant genotypes. CONCLUSION: A few key genes associated in tuberization under high temperature conditions were heat shock proteins (e.g. 18.5 kDa class I heat shock protein), sugar metabolism (e.g. glucosyltransferase), transcription factor (e.g. WRKY), and phytohormones (e.g. auxin-induced beta-glucosidase). Our study provides an overview of key genes involved in tuberization under high temperature stress in potato cv. Kufri Anand under aeroponics.

Transcriptome analysis reveals genes associated with late blight resistance in potato.

Late blight is a serious disease of potato worldwide. Our study aimed to unveil genes involved in late blight resistance in potato by RNA-seq analysis after artificial inoculation under controlled conditions. In this study, two potato somatic hybrids (P7 and Crd6) and three varieties such as Kufri Girdhari, Kufri Jyoti and Kufri Bahar (control) were used. Transcriptiome analysis revealed statistically significant (p < 0.05) differentially expressed genes (DEGs), which were analysed into up-regulated and down-regulated genes. Further, DEGs were functionally characterized by the Gene Ontology annotations and the Kyoto Encyclopedia of Genes and Genomes pathways. Overall, some of the up-regulated genes in resistant genotypes were disease resistance proteins such as CC-NBS-LRR resistance protein, ankyrin repeat family protein, cytochrome P450, leucine-rich repeat family protein/protein kinase family, and MYB transcription factor. Sequence diversity analysis based on 38 peptide sequences representing 18 genes showed distinct variation and the presence of three motifs in 15 amino acid sequences. Selected genes were also validated by real-time quantitative polymerase chain reaction analysis. Interestingly, gene expression markers were developed for late blight resistant genotypes. Our study elucidates genes involved in imparting late blight resistance in potato, which will be beneficial for its management strategies in the future.