Transcriptome Sequencing and WGCNA Reveal Key Genes in Response to Leaf Blight in Poplar

Combining whole genome and transcriptome sequencing to analyze the pathogenic mechanism of Diplodia sapinea blight in Pinus sylvestris var. mongolica Litv

Diplodia sapinea (= Sphaeropsis sapinea) is an opportunistic pathogen that usually lives in symbiosis (the coexistence of dissimilar organisms) with its host and can cause disease under extreme climatic or physiological stress. In this study, we generated a high-quality genome map of D. sapinea using PacBio Circular Consensus Sequencing (CCS) technology and analysed the key disease-causing genes of D. sapinea by RNA sequencing (RNA-seq). In the study, a number of cell wall degrading enzyme genes were identified to be up-regulated during pathogen infection, which may be involved in biotic stress response in P. sylvestris var. mongolica Litv. It was also found that the expression of antioxidant-related genes, such as those involved in carotenoid biosynthesis, ascorbate and glutathione metabolism, was up-regulated in the P. s. var. mongolica Litv. after fungus infection. Differently expressed genes (DEGs) -based protein-protein interaction (PPI) network was constructed that included 163 pairs of significantly positively correlated proteins, forming three highly interacting gene clusters, and the PPI network was predicted to be associated with the replication and propagation processes of the fungus. These results provide important information for understanding the pathogenic mechanisms of Diplodia tip blight and developing control strategies in P. s. var. mongolica Litv.

Study of red vine phenotypic plasticity across central-southern Italy sites: an integrated analysis of the transcriptome and weather indices through WGCNA

The grapevine (Vitis spp., family Vitaceae) is characterized by marked phenotypic plasticity. Its ability to withstand specific environmental conditions depends on the activation of highly coordinated responses resulting from interactions among genotypes (G) and environmental factors (E). In this study, the transcriptomes of commercially ripe berries of the Cabernet Sauvignon and Aglianico genotypes grown in open fields at three different sites in central-southern Italy (Campania, Molise and Sicily) were analyzed with RNA sequencing. These transcriptomic data were integrated with a comprehensive set of weather course indices through weighted gene co-expression network analysis (WGCNA). A total of 11,887 differentially expressed genes (DEGs) were retrieved, most of which were associated with the Aglianico genotype. The plants from the Sicilian site presented the greatest number of DEGs for both genotypes. Most of the weather course data (daily maximum air temperature, relative humidity, air pressure, dew point, and hours of sun radiation) were significantly correlated with the "lightcyan1" module, confirming WGCNA as a powerful method for identifying genes of high biological interest. Within this module, the gene encoding the ACA10 cation transporter was highly expressed in plants of both genotypes from Campania, where the lowest anthocyanin content was recorded. The transcriptome was also correlated with quality traits, such as total soluble solids and polyphenol content. This approach could lead to the identification of a transcriptomic profile that may specifically identify a genotype and its growing site and to the discovery of hub genes that might function as markers of wine quality.

RNA-Seq and WGCNA Analyses Reveal Key Regulatory Modules and Genes for Salt Tolerance in Cotton

The problem of soil salinization has seriously hindered agricultural development. Cotton is a pioneering salinity-tolerant crop, so harvesting its key salinity-tolerant genes is important for improving crop salt tolerance. In this study, we analyzed changes in the transcriptome expression profiles of the salt-tolerant cultivar Lu Mian 28 (LM) and the salt-sensitive cultivar Zhong Mian Suo 12 (ZMS) after applying salt stress, and we constructed weighted gene co-expression networks (WGCNA). The results indicated that photosynthesis, amino acid biosynthesis, membrane lipid remodeling, autophagy, and ROS scavenging are key pathways in the salt stress response. Plant-pathogen interactions, plant hormone signal transduction, the mitogen-activated protein kinase (MAPK) signaling pathway, and carotenoid biosynthesis are the regulatory networks associated with these metabolic pathways that confer cotton salt tolerance. The gene-weighted co-expression network was used to screen four modules closely related to traits, identifying 114 transcription factors, including WRKYs, ERFs, NACs, bHLHs, bZIPs, and MYBs, and 11 hub genes. This study provides a reference for acquiring salt-tolerant cotton and abundant genetic resources for molecular breeding.

Biocontrol mechanisms of poplar leaf blight due to Nigrospora oryzae

Nigrospora oryzae, a newly identified pathogen, is responsible for poplar leaf blight, causing significant harm to poplar growth. Here, we describe, for the first time, a biological control method for the control of poplar leaf blight via the applications of 3 dominant Trichoderma strains/species. In this study, dominant Trichoderma species/strains with the potential for biocontrol were identified and then further characterised via dual culture assays, volatile organic compounds (VOCs), and culture filtrates. The biocontrol efficacy of these strains against N. oryzae was found to exceed 60%. Furthermore, the reactive oxygen species (ROS) content in Populus davidiana × P. alba var. pyramidalis (PdPap) leaves pretreated with these Trichoderma strains significantly decreased. Furthermore, pretreatment of PdPap with a combination of these Trichoderma (Tcom) resulted in 9.71-fold and 1.95-fold increases in peroxidase (POD) and superoxide dismutase (SOD) activity, respectively, and 3.87-fold decrease in the MDA content compared to controls. Moreover, Tcom pretreatment activated the salicylic acid (SA) and jasmonic acid (JA) pathway-dependent defence responses of poplar, upregulating pathogenesis-related protein (PR) and MYC proto-oncogene (MYC-R) by more than 12-fold and 17.32-fold, respectively. In addition, Trichoderma treatments significantly increased the number of lateral roots, aboveground biomass, and stomata number and density of PdPap, and Tcom was superior to the single pretreatments. The soil pH also became weakly acidic in these pretreatments, which is beneficial for the growth of PdPap seedlings. These findings indicate that these dominant Trichoderma strains can effectively increase biocontrol and poplar growth promotion.

Chitinase Gene FoChi20 in Fusarium oxysporum Reduces Its Pathogenicity and Improves Disease Resistance in Cotton

Chitinase genes, as a class of cell wall hydrolases, are essential for the development and pathogenesis of Fusarium oxysporum f.sp. vasinfectum (F. ox) in cotton, but related research focused on chitinase genes are limited. This study explored two island cotton root secretions from the highly resistant cultivar Xinhai 41 and sensitive cultivar Xinhai 14 to investigate their interaction with F. ox by a weighted correlation network analysis (WGCNA). As a result, two modules that related to the fungal pathogenicity emerged. Additionally, a total of twenty-five chitinase genes were identified. Finally, host-induced gene silencing (HIGS) of FoChi20 was conducted, and the cotton plants showed noticeably milder disease with a significantly lower disease index than the control. This study illuminated that chitinase genes play crucial roles in the pathogenicity of cotton wilt fungi, and the FoChi20 gene could participate in the pathogenesis of F. ox and host-pathogen interactions, which establishes a theoretical framework for disease control in Sea Island cotton.

Hub Genes and Pathways Related to Lemon (Citrus limon) Leaf Response to Plenodomus tracheiphilus Infection and Influenced by Pseudomonas mediterranea Biocontrol Activity

The lemon industry in the Mediterranean basin is strongly threatened by "mal secco" disease (MSD) caused by the fungus Plenodomus tracheiphlilus. Leaf pretreatments with Pseudomonas mediterranea 3C have been proposed as innovative tools for eco-sustainable interventions aimed at controlling the disease. In this study, by exploiting the results of previously performed RNAseq analysis, WCGNA was conducted among gene expression patterns in both inoculated (Pt) and pretreated and fungus-inoculated lemon plants (Citrus limon L.) (3CPt), and two indicators of fungal infection, i.e., the amount of fungus DNA measured in planta and the disease index (DI). The aims of this work were (a) to identify gene modules significantly associated with those traits, (b) to construct co-expression networks related to mal secco disease; (c) to define the effect and action mechanisms of P. mediterranea by comparing the networks. The results led to the identification of nine hub genes in the networks, with three of them belonging to receptor-like kinases (RLK), such as HERK1, CLAVATA1 and LRR, which play crucial roles in plant-pathogen interaction. Moreover, the comparison between networks indicated that the expression of those receptors is not induced in the presence of P. mediterranea, suggesting how powerful WCGNA is in discovering crucial genes that must undergo further investigation and be eventually knocked out.

Characterization and genetic differences analysis in adventitious roots development of 38 Populus germplasm resources

To select poplar clones with excellent adventitious roots development (ARD) and deepen the understanding of its molecular mechanism, a comprehensive evaluation was conducted on 38 Populus germplasm resources with cuttings cultured in the greenhouse. Genetic differences between poplar clones with good ARD and with poor ARD were explored from the perspectives of genomics and transcriptomics. By cluster analysis of the seven adventitious roots (AR) traits, the materials were classified into three clusters, of which cluster I indicated excellent AR developmental capability and promising breeding potential, especially P.×canadensis 'Guariento', P. 'jingtong1', P. deltoides 'Zhongcheng5', P. deltoides 'Zhongcheng2'. At the genomic level, the cross-population composite likelihood ratio (XP-CLR) analysis identified 1944 positive selection regions related to ARD, and variation detection analysis identified 3426 specific SNPs and 687 specific Indels in the clones with good ARD, 3212 specific SNPs and 583 specific Indels in the clones with poor ARD, respectively. Through XP-CLR, variation detection, and weighted gene co-expression network analysis based on transcriptome data, eight major putative genes associated with poplar ARD were primary identified, and a co-expression network of eight genes was constructed, it was discovered that CSD1 and WRKY6 may be important in the ARD. Subsequently, we confirmed that SWEET17 had a non-synonymous mutation at the site of 928,404 in the clones with poor ARD, resulting in an alteration of the amino acid. After exploring phenotypic differences and the genetic variation of adventitious roots development in different poplar clones, this study provides valuable reference information for future poplar breeding and genetic improvement.

Transcriptome and coexpression network analysis reveals properties and candidate genes associated with grape (Vitis vinifera L.) heat tolerance

Temperature is one of the most important environmental factors affecting grape season growth and geographical distribution. With global warming and the increasing occurrence of extreme high-temperature weather, the impact of high temperatures on grape production has intensified. Therefore, identifying the molecular regulatory networks and key genes involved in grape heat tolerance is crucial for improving the resistance of grapes and promoting sustainable development in grape production. In this study, we observed the phenotypes and cellular structures of four grape varieties, namely, Thompson Seedless (TS), Brilliant Seedless (BS), Jumeigui (JMG), and Shine Muscat (SM), in the naturally high-temperature environment of Turpan. Heat tolerance evaluations were conducted. RNA-seq was performed on 36 samples of the four varieties under three temperature conditions (28°C, 35°C, and 42°C). Through differential expression analysis revealed the fewest differentially expressed genes (DEGs) between the heat-tolerant materials BS and JMG, and the DEGs common to 1890 were identified among the four varieties. The number of differentially expressed genes within the materials was similar, with a total of 3767 common DEGs identified among the four varieties. KEGG enrichment analysis revealed that fatty acid metabolism, starch and sucrose metabolism, plant hormone signal transduction, the MAPK signaling pathway, and plant-pathogen interactions were enriched in both between different temperatures of the same material, and between different materials of the same temperature. We also conducted statistical and expression pattern analyses of differentially expressed transcription factors. Based on Weighted correlation network analysis (WGCNA), four specific modules highly correlated with grape heat tolerance were identified by constructing coexpression networks. By calculating the connectivity of genes within the modules and expression analysis, six candidate genes (VIT_04s0044g01430, VIT_17s0000g09190, VIT_01s0011g01350, VIT_01s0011g03330, VIT_04s0008g05610, and VIT_16s0022g00540) related to heat tolerance were discovered. These findings provide a theoretical foundation for further understanding the molecular mechanisms of grape heat tolerance and offer new gene resources for studying heat tolerance in grapes.