RNA-Seq of Cyst Nematode Infestation of Potato (Solanum tuberosum L.): A Comparative Transcriptome Analysis of Resistant and Susceptible Cultivars

StCoExpNet: a global co-expression network analysis facilitates identifying genes underlying agronomic traits in potatoes

KEY MESSAGE

We constructed a gene expression atlas and co-expression network for potatoes and identified several novel genes associated with various agronomic traits. This resource will accelerate potato genetics and genomics research. Potato (Solanum tuberosum L.) is the world's most crucial non-cereal food crop and ranks third in food production after wheat and rice. Despite the availability of several potato transcriptome datasets at public databases like NCBI SRA, an effort has yet to be put into developing a global transcriptome atlas and a co-expression network for potatoes. The objectives of our study were to construct a global expression atlas for potatoes using publicly available transcriptome datasets, identify housekeeping and tissue-specific genes, construct a global co-expression network and identify co-expression clusters, investigate the transcriptional complexity of genes involved in various essential biological processes related to agronomic traits, and provide a web server (StCoExpNet) to easily access the newly constructed expression atlas and co-expression network to investigate the expression and co-expression of genes of interest. In this study, we used data from 2299 publicly available potato transcriptome samples obtained from 15 different tissues to construct a global transcriptome atlas. We found that roughly 87% of the annotated genes exhibited detectable expression in at least one sample. Among these, we identified 281 genes with consistent and stable expression levels, indicating their role as housekeeping genes. Conversely, 308 genes exhibited marked tissue-specific expression patterns. We exemplarily linked some co-expression clusters to important agronomic traits of potatoes, such as self-incompatibility, anthocyanin biosynthesis, tuberization, and defense responses against multiple pathogens. The dataset compiled here constitutes a new resource (StCoExpNet), which can be accessed at https://stcoexpnet.julius-kuehn.de . This transcriptome atlas and the co-expression network will accelerate potato genetics and genomics research.

Revitalizing agriculture: next-generation genotyping and -omics technologies enabling molecular prediction of resilient traits in the Solanaceae family

This review highlights -omics research in Solanaceae family, with a particular focus on resilient traits. Extensive research has enriched our understanding of Solanaceae genomics and genetics, with historical varietal development mainly focusing on disease resistance and cultivar improvement but shifting the emphasis towards unveiling resilience mechanisms in genebank-preserved germplasm is nowadays crucial. Collecting such information, might help researchers and breeders developing new experimental design, providing an overview of the state of the art of the most advanced approaches for the identification of the genetic elements laying behind resilience. Building this starting point, we aim at providing a useful tool for tackling the global agricultural resilience goals in these crops.

Identification of genes governing resistance to PCN (Globodera rostochiensis) through transcriptome analysis in Solanum tuberosum

Potato cyst nematodes (PCNs) are major pests worldwide that affect potato production. The molecular changes happening in the roots upon PCN infection are still unknown. Identification of transcripts and genes governing PCN resistance will help in the development of resistant varieties. Hence, differential gene expression of compatible (Kufri Jyoti) and incompatible (JEX/A-267) potato genotypes was studied before (0 DAI) and after (10 DAI) inoculation of Globodera rostochiensis J2s through RNA sequencing (RNA-Seq). Total sequencing reads generated ranged between 33 and 37 million per sample, with a read mapping of 48-84% to the potato reference genome. In the infected roots of the resistant genotype JEX/A-267, 516 genes were downregulated, and 566 were upregulated. In comparison, in the susceptible genotype Kufri Jyoti, 316 and 554 genes were downregulated and upregulated, respectively. Genes encoding cell wall proteins, zinc finger protein, WRKY transcription factors, MYB transcription factors, disease resistance proteins, and pathogenesis-related proteins were found to be majorly involved in the incompatible reaction after PCN infection in the resistant genotype, JEX/A-267. Furthermore, RNA-Seq results were validated through quantitative real-time PCR (qRT-PCR), and it was observed that ATP, FLAVO, CYTO, and GP genes were upregulated at 5 DAI, which was subsequently downregulated at 10 DAI. The genes encoding ATP, FLAVO, LBR, and GP were present in > 1.5 fold before infection in JEX-A/267 and upregulated 7.9- to 27.6-fold after 5 DAI; subsequently, most of these genes were downregulated to 0.9- to 2.8-fold, except LBR, which was again upregulated to 44.4-fold at 10 DAI.

Transcriptome Analysis of Two Tetraploid Potato Varieties under Water-Stress Conditions

Potato (Solanum tuberosum L.) is one of the most important crops worldwide, but due to its sensitivity to drought, its production can be affected by water availability. In this study, the varieties Agria and Zorba were used to determine the expression differences between control and water-stressed plants. For this purpose, they were sequenced by RNAseq, obtaining around 50 million transcripts for each variety and treatment. When comparing the significant transcripts obtained from control and drought-stressed plants of the Agria variety, we detected 931 genes that were upregulated and 2077 genes that were downregulated under stress conditions. When both treatments were compared in Zorba plants, 735 genes were found to be upregulated and 923 genes were found to be downregulated. Significantly more DEGs were found in the Agria variety, indicating a good stress response of this variety. "Abscisic acid and environmental stress-inducible protein TAS14-like" was the most overexpressed gene under drought conditions in both varieties, but expression differences were also found in numerous transcription factors and heat shock proteins. The principal GO term found was "cellular components", more specifically related to the cell membrane and the cell wall, but other metabolic pathways such as carbohydrate metabolism and osmotic adjustment were also identified. These results provide valuable information related to the molecular mechanisms of tolerance to water stress in order to establish the basis for breeding new, more tolerant varieties.