Gb_ANR-47 Enhances the Resistance of Gossypium barbadense to Fusarium oxysporum f. sp. vasinfectum (FOV) by Regulating the Content of Proanthocyanidins

Su, Xuening; Zhao, Jing; Gao, Wenju; Zu, Qianli; Chen, Quanjia; Li, Chunping; Qu, Yanying

doi:10.3390/plants11151902

Cited by 8 publications

(5 citation statements)

References 43 publications

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“…Hence, we performed identi cation and characterization of the GT64 gene family in eight distinct cotton species to explore potential strategies for improving disease resistance in cotton. In recent years, various families in cotton have been studied, such as GBSOT [39], GhGABA [40], GhIFR [41], GhGGPS [42], GhTBL [43], GhDREB [44], GhSBT [45], GhLOG [46], GhGATL [47], GhMDVL[48], and GhANN [49].…”

Section: Discussionmentioning

confidence: 99%

Pan-genome Analysis of GT64 Gene Family and Expression Response to Verticillium wilt in Cotton

Zhao,

Zhu,

Jiao

et al. 2024

Preprint

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Background The GT64 subfamily, belonging to the glycosyltransferase enzyme family, plays a critical function in plant adaptation to stress conditions and the modulation of plant growth, development, and organogenesis processes. However, a comprehensive identification and systematic analysis of GT64 in cotton are still lacking. Results This study used bioinformatics techniques to conduct a detailed investigation on the GT64 gene family members of eight cotton species for the first time. A total of 39 GT64 genes were detected, which could be classified into five subfamilies according to the phylogenetic tree. Among them, six genes were found in upland cotton. Furthermore, we investigated the precise chromosomal positions of these genes and visually represented their gene structure details. Moreover, we forecasted cis-regulatory elements in GHGT64s and ascertained the duplication type of the GT64 in the eight cotton species. Evaluation of the Ka/Ks ratio for similar gene pairs among the eight cotton species provided insights into the selective pressures acting on these homologous genes. Additionally, we analyzed the expression profiles of the GT64 gene family. Through overexpression of GHGT64_4 in tobacco, overexpression of this gene in tobacco could improve disease resistance of tobacco. Subsequently, VIGS experiments conducted in cotton demonstrated reduced disease resistance upon silencing of the GHGT64_4, suggesting its involvement in affecting lignin and jasmonic acid biosynthesis pathways, thus impacting cotton resistance. Weighted Gene Co-expression Network Analysis (WGCNA) revealed an early immune response against Verticillium dahliae in G. barbadense compared to G. hirsutum. qRT-PCR analysis indicated that some GT64 genes might play a role under various biotic and abiotic stress conditions. Subcellular localization results showed that GHGT64_4 is mainly located in the endoplasmic reticulum and Golgi apparatus. Conclusions These discoveries enhance our knowledge of GT64 family members and lay the groundwork for future investigations into the disease resistance mechanisms of this gene in cotton.

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Section: Discussionmentioning

confidence: 99%

Pan-genome Analysis of GT64 Gene Family and Expression Response to Verticillium wilt in Cotton

Zhao,

Zhu,

Jiao

et al. 2024

Preprint

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“…Flavonoid metabolites are also associated with plant resistance to UV-B radiation and infections ( Torregrosa et al., 2004 ; Treutter, 2005 ; Falcone Ferreyra et al., 2012 ; He et al., 2022 ). Moreover, some key enzymes related to or involved in the flavonoid biosynthesis pathway, such as PAL (phenylalanine ammonia lyase) ( Pant et al., 2021 ), CHS (chalcone synthase) ( Zu et al., 2019 ), CHI (chalconeisomerase) ( Dao et al., 2011 ), ANR (anthocyanidin reductase) ( Su et al., 2022 ), DFR (dihydroflavonol 4-reductase) and ANR (anthocyanidin reductase) ( Kumar et al., 2013 ), play important roles in the plant response to UV-B radiation and bacterial or fungal infection. High-level expression or overexpression of the genes encoding these enzymes suggested high resistance or tolerance to biotic and abiotic stresses.…”

Section: Discussionmentioning

confidence: 99%

Integrated transcriptome and microRNA sequencing analyses reveal gene responses in poplar leaves infected by the novel pathogen bean common mosaic virus (BCMV)

et al. 2023

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Recently, a novel poplar mosaic disease caused by bean common mosaic virus (BCMV) was investigated in Populus alba var. pyramidalis in China. Symptom characteristics, physiological performance of the host, histopathology, genome sequences and vectors, and gene regulation at the transcriptional and posttranscriptional levels were analyzed and RT−qPCR (quantitative reverse transcription PCR) validation of expression was performed in our experiments. In this work, the mechanisms by which the BCMV pathogen impacts physiological performance and the molecular mechanisms of the poplar response to viral infection were reported. The results showed that BCMV infection decreased the chlorophyll content, inhibited the net photosynthesis rate (Pn) and stomatal conductance (Gs), and significantly changed chlorophyll fluorescence parameters in diseased leaves. Transcriptome analysis revealed that the expression of the majority of DEGs (differentially expressed genes) involved in the flavonoid biosynthesis pathway was promoted, but the expression of all or almost all DEGs associated with photosynthesis-antenna proteins and the photosynthesis pathway was inhibited in poplar leaves, suggesting that BCMV infection increased the accumulation of flavonoids but decreased photosynthesis in hosts. Gene set enrichment analysis (GSEA) illustrated that viral infection promoted the expression of genes involved in the defense response or plant-pathogen interaction. MicroRNA-seq analysis illustrated that 10 miRNA families were upregulated while 6 families were downregulated in diseased poplar leaves; moreover, miR156, the largest family with the most miRNA members and target genes, was only differentially upregulated in long-period disease (LD) poplar leaves. Integrated transcriptome and miRNA-seq analyses revealed 29 and 145 candidate miRNA−target gene pairs; however, only 17 and 76 pairs, accounting for 2.2% and 3.2% of all DEGs, were authentically negatively regulated in short-period disease (SD) and LD leaves, respectively. Interestingly, 4 miR156/SPL (squamosa promoter-binding-like protein) miRNA−target gene pairs were identified in LD leaves: the miR156 molecules were upregulated, but SPL genes were downregulated. In conclusion, BCMV infection significantly changed transcriptional and posttranscriptional gene expression in poplar leaves, inhibited photosynthesis, increased the accumulation of flavonoids, induced systematic mosaic symptoms, and decreased physiological performance in diseased poplar leaves. This study elucidated the fine-tuned regulation of poplar gene expression by BCMV; moreover, the results also suggested that miR156/SPL modules played important roles in the virus response and development of viral systematic symptoms in plant virus disease.

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“…The further development of genetic engineering has brought great convenience to scientific researchers. The existence of cotton genome sequences has enabled researchers to explore the evolution and functional analysis of different gene families, many of which have been previously examined in cotton: for example, GhIFR [29], GhGGPS [30], GhTBL [31], GhDREB [32], GhSBT [33], GhLOG [34], GhGATL [35], Gb_ANR [36], and GbCHI [37].…”

Section: Discussionmentioning

confidence: 99%

GBSOT4 Enhances the Resistance of Gossypium barbadense to Fusarium oxysporum f. sp. vasinfectum (FOV) by Regulating the Content of Flavonoid

Su,

Jiao,

Jiang

et al. 2023

Plants

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Sulfotransferases (SOTs) (EC 2.8.2.-) are sulfate regulatory proteins in a variety of organisms that have been previously shown to be involved in regulating a variety of physiological and biological processes, such as growth, development, adaptation to land, stomatal closure, drought tolerance, and response to pathogen infection. However, there is a lack of comprehensive identification and systematic analysis of SOT in cotton, especially in G. barbadense. In this study, we used bioinformatics methods to analyze the structural characteristics, phylogenetic relationships, gene structure, expression patterns, evolutionary relationships, selection pressure and stress response of SOT gene family members in G. barbadense. In this study, a total of 241 SOT genes were identified in four cotton species, among which 74 SOT gene members were found in G. barbadense. According to the phylogenetic tree, 241 SOT protein sequences were divided into five distinct subfamilies. We also mapped the physical locations of these genes on chromosomes and visualized the structural information of SOT genes in G. barbadense. We also predicted the cis-acting elements of the SOT gene in G. barbadense, and we identified the repetitive types and collinearity analysis of SOT genes in four cotton species. We calculated the Ka/Ks ratio between homologous gene pairs to elucidate the selective pressure between SOT genes. Transcriptome data were used to explore the expression patterns of SOT genes, and then qRT-PCR was used to detect the expression patterns of GBSOT4, GBSOT17 and GBSOT33 under FOV stress. WGCNA (weighted gene co-expression network analysis) showed that GB_A01G0479 (GBSOT4) belonged to the MEblue module, which may regulate the resistance mechanism of G. barbadense to FOV through plant hormones, signal transduction and glutathione metabolism. In addition, we conducted a VIGS (virus-induced gene silencing) experiment on GBSOT4, and the results showed that after FOV inoculation, the plants with a silenced target gene had more serious leaf wilting, drying and cracking than the control group, and the disease index of the plants with the silenced target gene was significantly higher than that of the control group. This suggests that GBSOT4 may be involved in protecting the production of G. barbadense from FOV infection. Subsequent metabolomics analysis showed that some flavonoid metabolites, such as Eupatorin-5-methylether (3′-hydroxy-5,6,7,4′-tetramethoxyflavone, were accumulated in cotton plants in response to FOV infection.

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Gb_ANR-47 Enhances the Resistance of Gossypium barbadense to Fusarium oxysporum f. sp. vasinfectum (FOV) by Regulating the Content of Proanthocyanidins

Cited by 8 publications

References 43 publications

Pan-genome Analysis of GT64 Gene Family and Expression Response to Verticillium wilt in Cotton

Pan-genome Analysis of GT64 Gene Family and Expression Response to Verticillium wilt in Cotton

Integrated transcriptome and microRNA sequencing analyses reveal gene responses in poplar leaves infected by the novel pathogen bean common mosaic virus (BCMV)

GBSOT4 Enhances the Resistance of Gossypium barbadense to Fusarium oxysporum f. sp. vasinfectum (FOV) by Regulating the Content of Flavonoid

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