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It remains a major challenge to identify the genes and mutations that lead to plant sexual differentiation. Here, we study the structure and evolution of the sex-determining region (SDR) in Vitis species. We report an improved, chromosome-scale Cabernet Sauvignon genome sequence and the phased assembly of nine wild and cultivated grape genomes. By resolving twenty Vitis SDR haplotypes, we compare male, female, and hermaphrodite haplotype structures and identify sex-linked regions. Coupled with gene expression data, we identify a candidate male-sterility mutation in the VviINP1 gene and potential female-sterility function associated with the transcription factor VviYABBY3 . Our data suggest that dioecy has been lost during domestication through a rare recombination event between male and female haplotypes. This work significantly advances the understanding of the genetic basis of sex determination in Vitis and provides the information necessary to rapidly identify sex types in grape breeding programs.

Biodiversity research is becoming increasingly dependent on genomics, which allows the unprecedented digitization and understanding of the planet's biological heritage. The use of genetic markers i.e. DNA barcoding, has proved to be a powerful tool in species identification. However, full exploitation of this approach is hampered by the high sequencing costs and the absence of equipped facilities in biodiversity-rich countries. In the present work, we developed a portable sequencing laboratory based on the portable DNA sequencer from Oxford Nanopore Technologies, the MinION. Complementary laboratory equipment and reagents were selected to be used in remote and tough environmental conditions. The performance of the MinION sequencer and the portable laboratory was tested for DNA barcoding in a mimicking tropical environment, as well as in a remote rainforest of Tanzania lacking electricity. Despite the relatively high sequencing error-rate of the MinION, the development of a suitable pipeline for data analysis allowed the accurate identification of different species of vertebrates including amphibians, reptiles and mammals. In situ sequencing of a wild frog allowed us to rapidly identify the species captured, thus confirming that effective DNA barcoding in the field is possible. These results open new perspectives for real-time-on-site DNA sequencing thus potentially increasing opportunities for the understanding of biodiversity in areas lacking conventional laboratory facilities.

The long non-coding RNAs (lncRNAs), despite lacking the ability to encode proteins, have become essential players in regulating gene expression in crops. Yaghooti grape in addition to its good flavor, is highly regarded by consumers due to its high nutritional value. However, the compact clusters and small berries are notable features that negatively impact its marketability. Gibberellin is widely used to reduce cluster density. This research aimed to identify lncRNAs involved in cluster formation and examine how their expression is influenced by gibberellin treatment. The expression of lncRNAs is spatiotemporally specific, and external stimuli can influence their expression. However, the role of lncRNA in modulating the transcriptional pathway of gibberellin is unknown. The length of grape clusters increased from 107 to 184 mm under gibberellin treatment, accompanied by a corresponding decrease in cluster density. RNA-seq data related to Sistan Yaghooti grape clusters were examined at three stages of formation and in response to gibberellin to identify lncRNA transcripts. A total of 2021 lncRNAs were identified, of which 262 lncRNAs showed differential expression. The numbers of lncRNAs and target genes that exhibited significant differential expression were 76, 100, and 86 lncRNAs and 146, 143, and 138 target genes, respectively, in stage2 vs. stage1, stage3 vs. stage2, and stage3 vs. stage1. The target genes of lncRNAs were significantly associated with (Catabolic Process, hydrolase activity, Phosphorylation, ATP binding, response to abiotic stimulus). Furthermore, pathway analysis indicated that majority of genes in the treated samples were primarily linked to metabolic pathways and secondary metabolite biosynthesis in comparison to the control group. Specifically, genes such as cytokinin (CK), Indole-3-acetic acid (IAA), squamosa-promoter binding  protein -like2 ( SPL2), LATERAL ORGAN BOUNDARIES DOMAIN (LBD), Domain of Unknown Function 1218 (DUF1218), the non-specific phospholipase C2 (NPC2), Cytochrome P450 (P450 CYP), pectin methylesterases (PMEs), and AGAMOUS (AG) showed significantly increased expression in response to gibberellin. Some of these genes are targets of lncRNAs that interact with microRNAs (miRNAs) vvi-miR156, vvi-miR159, vvi-miR172, and vvi-miR319. Among the differentially expressed non-coding RNAs, lncRNA LOC100257036 and vvi-miR156 may contribute to gibberellin-mediated regulation of AG , potentially influencing cluster architecture through a lncRNA–miRNA–mRNA regulatory pathway.

Yaghooti grape, as the earliest grape variety in Iran, is considered as more resistant to heat, drought, and salinity than other cultivars. Cluster compactness is regarded as an inappropriate feature for the productivity of Yaghooti grape as a critical commercial and nutritional product. In plants, lncRNAs play a critical role in regulating biological processes related to growth and development. However, the potential role of lncRNAs was not assessed in cluster compactness. Totally, 1549 lncRNAs were identified by RNA-Seq data analysis in three steps of cluster formation, berry formation, and final cluster size after a thorough screening process. In addition, 229 lncRNAs were differentially expressed in the cluster development steps. Based on the functional analysis, lncRNAs are related to AG and MYB , bHLH, LBD, NAC , and WRKY TFs. Further, the target genes enrichment analysis revealed a relationship between lncRNAs with grape growth and development, as well as resistance to abiotic stresses such as heat and drought, plant defense against pathogens, and early grapes ripening. The study identified four lncRNAs as precursors of miRNAs, predicting that 112 other lncRNAs could potentially be targeted by 166 miRNAs. The results provide new insights into the regulatory functions of lncRNAs in Yaghooti grape to improve overall understanding of the molecular mechanisms related to grape compactness.

With approximately 450 species, spiny Solanum species constitute the largest monophyletic group in the Solanaceae family, but a high-quality genome assembly from this group is presently missing. We obtained a chromosome-anchored genome assembly of eggplant ( Solanum melongena ), containing 34,916 genes, confirming that the diploid gene number in the Solanaceae is around 35,000. Comparative genomic studies with tomato ( S . lycopersicum ), potato ( S . tuberosum ) and pepper ( Capsicum annuum ) highlighted the rapid evolution of miRNA:mRNA regulatory pairs and R-type defense genes in the Solanaceae, and provided a genomic basis for the lack of steroidal glycoalkaloid compounds in the Capsicum genus. Using parsimony methods, we reconstructed the putative chromosomal complements of the key founders of the main Solanaceae clades and the rearrangements that led to the karyotypes of extant species and their ancestors. From 10% to 15% of the genes present in the four genomes were syntenic paralogs (ohnologs) generated by the pre-γ, γ and T paleopolyploidy events, and were enriched in transcription factors. Our data suggest that the basic gene network controlling fruit ripening is conserved in different Solanaceae clades, and that climacteric fruit ripening involves a differential regulation of relatively few components of this network, including CNR and ethylene biosynthetic genes.

The development of massively parallel sequencing technologies enables the sequencing of total cDNA (RNA-Seq) to derive accurate measure of individual gene expression, differential splicing activity, and to discover novel regions of transcription, dramatically changing the way that the functional complexity of transcriptomes can be studied. Here we report on the first use of RNA-Seq to gain insight into the wide range of transcriptional responses that are associated with berry development in Vitis vinifera 'Corvina'. More than 59 million sequence reads, 36 to 44 bp in length, were generated from three developmental stages: post setting, véraison, and ripening. The sequence reads were aligned onto the 8.4-fold draft sequence of the Pinot Noir 40024 genome and then analyzed to measure gene expression levels, to detect alternative splicing events, and expressed single nucleotide polymorphisms. We detected 17,324 genes expressed during berry development, 6,695 of which were expressed in a stage-specific manner, suggesting differences in expression for genes in numerous functional categories and a significant transcriptional complexity. This exhaustive overview of gene expression dynamics demonstrates the utility of RNA-Seq for identifying single nucleotide polymorphisms and splice variants and for describing how plant transcriptomes change during development.

Background Nannochloropsis gaditana is a photosynthetic unicellular microalgae considered one of the most interesting marine algae to produce biofuels and food additive due to its rapid growth rate and high lipid accumulation. Although microalgae are attractive platforms for solar energy bioconversion, the overall efficiency of photosynthesis is reduced due to the steep light gradient in photobioreactors. Moreover, accumulation of lipids in microalgae for biofuels production is usually induced in a two-phase cultivation process by nutrient starvation, with additional time and costs associated. In this work, a biotechnological approach was directed for the isolation of strains with improved light penetration in photobioreactor combined with increased lipids productivity. Results Mutants of Nannochloropsis gaditana were obtained by chemical mutagenesis and screened for having both a reduced chlorophyll content per cell and increased affinity for Nile red, a fluorescent dye which binds to cellular lipid fraction. Accordingly, one mutant, called e8, was selected and characterized for having a 30% reduction of chlorophyll content per cell and an almost 80% increase of lipid productivity compared to WT in nutrient-replete conditions, with C16:0 and C18:0 fatty acids being more than doubled in the mutant. Whole-genome sequencing revealed mutations in 234 genes in e8 mutant among which there is a non-conservative mutation in the dgd1 synthase gene. This gene encodes for an enzyme involved in the biosynthesis of DGDG, one of the major lipids found in the thylakoid membrane and it is thus involved in chloroplast biogenesis. Lipid biosynthesis is strongly influenced by light availability in several microalgae species, including Nannochloropsis gaditana: reduced chlorophyll content per cell and more homogenous irradiance in photobioreactor is at the base for the increased lipid productivity observed in the e8 mutant. Conclusions The results herein obtained presents a promising strategy to produce algal biomass enriched in lipid fraction to be used for biofuel and biodiesel production in a single cultivation process, without the additional complexity of the nutrient starvation phase. Genome sequencing and identification of the mutations introduced in e8 mutant suggest possible genes responsible for the observed phenotypes, identifying putative target for future complementation and biotechnological application.

Pathogens deliver effectors into plant cells to suppress immunity-related signaling. However, effector recognition by the host elicits a hypersensitive response (HR) that overcomes the inhibition of host signaling networks, restoring disease resistance. Signaling components are shared between the pathogen-associated molecular pattern-triggered immunity and effector-triggered immunity, and it is unclear how plants inactivate these effectors to execute the HR. Here, we report that, in Arabidopsis thaliana, during the onset of the HR, the bacterial effector HopAI1 is S-nitrosylated and that this modification inhibits its phosphothreonine lyase activity. HopAI1 targets and suppresses mitogen-activated protein kinases (MAPKs). The S-nitrosylation of HopAI1 restores MAPK signaling and is required during the HR for activation of the associated cell death. S-nitrosylation is therefore revealed here as a nitric oxide-dependent host strategy involved in plant immunity that works by directly disarming effector proteins.

Myotonic dystrophy type 2 (DM2) is caused by CCTG repeat expansions in the CNBP gene, comprising 75 to >11,000 units and featuring extensive mosaicism, making it challenging to sequence fully expanded alleles. To overcome these limitations, we used PCR-free Cas9-mediated nanopore sequencing to characterize CNBP repeat expansions at the single-nucleotide level in nine DM2 patients. The length of normal and expanded alleles can be assessed precisely using this strategy, agreeing with traditional methods, and revealing the degree of mosaicism. We also sequenced an entire ~50 kbp expansion, which has not been achieved previously for DM2 or any other repeat-expansion disorders. Our approach precisely counted the repeats and identified the repeat pattern for both short interrupted and uninterrupted alleles. Interestingly, in the expanded alleles, only two DM2 samples featured the expected pure CCTG repeat pattern, while the other seven presented also TCTG blocks at the 3′ end, which have not been reported before in DM2 patients, but confirmed hereby with orthogonal methods. The demonstrated approach simultaneously determines repeat length, structure/motif, and the extent of somatic mosaicism, promising to improve the molecular diagnosis of DM2 and achieve more accurate genotype–phenotype correlations for the better stratification of DM2 patients in clinical trials.

Background Detecting somatic mutations in whole exome sequencing data of cancer samples has become a popular approach for profiling cancer development, progression and chemotherapy resistance. Several studies have proposed software packages, filters and parametrizations. However, many research groups reported low concordance among different methods. We aimed to develop a pipeline which detects a wide range of single nucleotide mutations with high validation rates. We combined two standard tools – Genome Analysis Toolkit (GATK) and MuTect – to create the GATK-LOD N method. As proof of principle, we applied our pipeline to exome sequencing data of hematological (Acute Myeloid and Acute Lymphoblastic Leukemias) and solid (Gastrointestinal Stromal Tumor and Lung Adenocarcinoma) tumors. We performed experiments on simulated data to test the sensitivity and specificity of our pipeline. Results The software MuTect presented the highest validation rate (90 %) for mutation detection, but limited number of somatic mutations detected. The GATK detected a high number of mutations but with low specificity. The GATK-LOD N increased the performance of the GATK variant detection (from 5 of 14 to 3 of 4 confirmed variants), while preserving mutations not detected by MuTect. However, GATK-LOD N filtered more variants in the hematological samples than in the solid tumors. Experiments in simulated data demonstrated that GATK-LOD N increased both specificity and sensitivity of GATK results. Conclusion We presented a pipeline that detects a wide range of somatic single nucleotide variants, with good validation rates, from exome sequencing data of cancer samples. We also showed the advantage of combining standard algorithms to create the GATK-LOD N method, that increased specificity and sensitivity of GATK results. This pipeline can be helpful in discovery studies aimed to profile the somatic mutational landscape of cancer genomes.