scholarly journals Identification of Chlorophyll Metabolism- and Photosynthesis-Related Genes Regulating Green Flower Color in Chrysanthemum by Integrative Transcriptome and Weighted Correlation Network Analyses

Genes ◽  
2021 ◽  
Vol 12 (3) ◽  
pp. 449
Author(s):  
Hansen Fu ◽  
Tuo Zeng ◽  
Yangyang Zhao ◽  
Tingting Luo ◽  
Huijie Deng ◽  
...  

Green chrysanthemums are difficult to breed but have high commercial value. The molecular basis for the green petal color in chrysanthemum is not fully understood. This was investigated in the present study by RNA sequencing analysis of white and green ray florets collected at three stages of flower development from the F1 progeny of the cross between Chrysanthemum × morifolium “Lüdingdang” with green-petaled flowers and Chrysanthemum vistitum with white-petaled flowers. The chlorophyll content was higher and chloroplast degradation was slower in green pools than in white pools at each developmental stage. Transcriptome analysis revealed that genes that were differentially expressed between the two pools were enriched in pathways related to chlorophyll metabolism and photosynthesis. We identified the transcription factor genes CmCOLa, CmCOLb, CmERF, and CmbHLH as regulators of the green flower color in chrysanthemum by differential expression analysis and weighted gene co-expression network analysis. These findings can guide future efforts to improve the color palette of chrysanthemum flowers through genetic engineering.

2020 ◽  
Author(s):  
Hui-Rong Duan ◽  
Li-Rong Wang ◽  
Guang-Xin Cui ◽  
Xue-Hui Zhou ◽  
Xiao-Rong Duan ◽  
...  

Abstract Background: To understand the gene expression networks controlling flower color formation in alfalfa, flowers anthocyanins were identified using two materials with contrasting flower colors, namely Defu and Zhongtian No. 3, and transcriptome analyses of PacBio full-length sequencing combined with RNA sequencing were performed, across four flower developmental stages. Results: Malvidin and petunidin glycoside derivatives were the major anthocyanins in the flowers of Defu, which were lacking in the flowers of Zhongtian No. 3. The two transcriptomic datasets provided a comprehensive and systems-level view on the dynamic gene expression networks underpinning alfalfa flower color formation. By weighted gene coexpression network analyses, we identified candidate genes and hub genes from the modules closely related to floral developmental stages. PAL , 4CL , CHS , CHR , F3’H , DFR , and UFGT were enriched in the important modules. Additionally, PAL6 , PAL9 , 4CL18 , CHS2 , 4 and 8 were identified as hub genes. Thus, a hypothesis explaining the lack of purple color in the flower of Zhongtian No. 3 was proposed. Conclusions: These analyses identified a large number of potential key regulators controlling flower color pigmentation, thereby providing new insights into the molecular networks underlying alfalfa flower development.


2019 ◽  
Author(s):  
Hui-Rong Duan ◽  
Li-Rong Wang ◽  
Guang-Xin Cui ◽  
Xue-Hui Zhou ◽  
Xiao-Rong Duan ◽  
...  

Abstract Background: To understand the gene expression networks controlling flower color formation in alfalfa, transcriptome analyses of PacBio full-length sequencing combined with RNA sequencing were performed using two materials with contrasting flower colors, namely Defu and Zhongtian No. 3, across four flower developmental stages. Results: The two datasets provided a comprehensive and systems-level view on the dynamic gene expression networks underpinning alfalfa flower color formation. By weighted gene coexpression network analyses, we identified candidate genes and hub genes from the modules closely related to floral developmental stages. PAL, 4CL, CHS, CHR, F3’H, DFR, and UFGT were enriched in the important modules. Additionally, PAL6, PAL9, 4CL18, CHS2, 4 and 8 were identified as hub genes. Thus, a hypothesis explaining the lack of purple color in the flower of Zhongtian No. 3 was proposed. Conclusions: These analyses identified a large number of potential key regulators controlling flower color pigmentation, thereby providing new insights into the molecular networks underlying alfalfa flower development.


2020 ◽  
Author(s):  
Hui-Rong Duan ◽  
Li-Rong Wang ◽  
Guang-Xin Cui ◽  
Xue-Hui Zhou ◽  
Xiao-Rong Duan ◽  
...  

Abstract Background: To understand the gene expression networks controlling flower color formation in alfalfa, flowers anthocyanins were identified using two materials with contrasting flower colors, namely Defu and Zhongtian No. 3, and transcriptome analyses of PacBio full-length sequencing combined with RNA sequencing were performed, across four flower developmental stages. Results: Malvidin and petunidin glycoside derivatives were the major anthocyanins in the flowers of Defu, which were lacking in the flowers of Zhongtian No. 3. The two transcriptomic datasets provided a comprehensive and systems-level view on the dynamic gene expression networks underpinning alfalfa flower color formation. By weighted gene coexpression network analyses, we identified candidate genes and hub genes from the modules closely related to floral developmental stages. PAL, 4CL, CHS, CHR, F3’H, DFR, and UFGT were enriched in the important modules. Additionally, PAL6, PAL9, 4CL18, CHS2, 4 and 8 were identified as hub genes. Thus, a hypothesis explaining the lack of purple color in the flower of Zhongtian No. 3 was proposed. Conclusions: These analyses identified a large number of potential key regulators controlling flower color pigmentation, thereby providing new insights into the molecular networks underlying alfalfa flower development.


Genes ◽  
2021 ◽  
Vol 12 (5) ◽  
pp. 704
Author(s):  
Jing Luo ◽  
Huan Wang ◽  
Sijia Chen ◽  
Shengjing Ren ◽  
Hansen Fu ◽  
...  

Chrysanthemum is one of the most beautiful and popular flowers in the world, and the flower color is an important ornamental trait of chrysanthemum. Compared with other flower colors, green flowers are relatively rare. The formation of green flower color is attributed to the accumulation of chlorophyll; however, the regulatory mechanism of chlorophyll metabolism in chrysanthemum with green flowers remains largely unknown. In this study, we performed Illumina RNA sequencing on three chrysanthemum materials, Chrysanthemum vestitum and Chrysanthemum morifolium cultivars ‘Chunxiao’ and ‘Green anna,’ which produce white, light green and dark green flowers, respectively. Based on the results of comparative transcriptome analysis, a gene encoding a novel NAC family transcription factor, CmNAC73, was found to be highly correlated to chlorophyll accumulation in the outer whorl of ray florets in chrysanthemum. The results of transient overexpression in chrysanthemum leaves showed that CmNAC73 acts as a positive regulator of chlorophyll biosynthesis. Furthermore, transactivation and yeast one-hybrid assays indicated that CmNAC73 directly binds to the promoters of chlorophyll synthesis-related genes HEMA1 and CRD1. Thus, this study uncovers the transcriptional regulation of chlorophyll synthesis-related genes HEMA1 and CRD1 by CmNAC73 and provides new insights into the development of green flower color in chrysanthemum and chlorophyll metabolism in plants.


2020 ◽  
Author(s):  
Hui-Rong Duan ◽  
Li-Rong Wang ◽  
Guang-Xin Cui ◽  
Xue-Hui Zhou ◽  
Xiao-Rong Duan ◽  
...  

Abstract Background: To understand the gene expression networks controlling flower color formation in alfalfa, flowers anthocyanins were identified using two materials with contrasting flower colors, namely Defu and Zhongtian No. 3, and transcriptome analyses of PacBio full-length sequencing combined with RNA sequencing were performed, across four flower developmental stages. Results: Malvidin and petunidin glycoside derivatives were the major anthocyanins in the flowers of Defu, which were lacking in the flowers of Zhongtian No. 3. The two transcriptomic datasets provided a comprehensive and systems-level view on the dynamic gene expression networks underpinning alfalfa flower color formation. By weighted gene coexpression network analyses, we identified candidate genes and hub genes from the modules closely related to floral developmental stages. PAL , 4CL , CHS , CHR , F3’H , DFR , and UFGT were enriched in the important modules. Additionally, PAL6 , PAL9 , 4CL18 , CHS2 , 4 and 8 were identified as hub genes. Thus, a hypothesis explaining the lack of purple color in the flower of Zhongtian No. 3 was proposed. Conclusions: These analyses identified a large number of potential key regulators controlling flower color pigmentation, thereby providing new insights into the molecular networks underlying alfalfa flower development.


Agriculture ◽  
2021 ◽  
Vol 11 (5) ◽  
pp. 445
Author(s):  
Jessica Cuartero ◽  
Onurcan Özbolat ◽  
Virginia Sánchez-Navarro ◽  
Marcos Egea-Cortines ◽  
Raúl Zornoza ◽  
...  

Long-term organic farming aims to reduce synthetic fertilizer and pesticide use in order to sustainably produce and improve soil quality. To do this, there is a need for more information about the soil microbial community, which plays a key role in a sustainable agriculture. In this paper, we assessed the long-term effects of two organic and one conventional cropping systems on the soil microbial community structure using high-throughput sequencing analysis, as well as the link between these communities and the changes in the soil properties and crop yield. The results showed that the crop yield was similar among the three cropping systems. The microbial community changed according to cropping system. Organic cultivation with manure compost and compost tea (Org_C) showed a change in the bacterial community associated with an improved soil carbon and nutrient content. A linear discriminant analysis effect size showed different bacteria and fungi as key microorganisms for each of the three different cropping systems, for conventional systems (Conv), different microorganisms such as Nesterenkonia, Galbibacter, Gramella, Limnobacter, Pseudoalteromonas, Pantoe, and Sporobolomyces were associated with pesticides, while for Org_C and organic cultivation with manure (Org_M), other types of microorganisms were associated with organic amendments with different functions, which, in some cases, reduce soil borne pathogens. However, further investigations such as functional approaches or network analyses are need to better understand the mechanisms behind this behavior.


Genes ◽  
2020 ◽  
Vol 11 (8) ◽  
pp. 865
Author(s):  
Yeong Deuk Jo ◽  
Jaihyunk Ryu ◽  
Ye-Sol Kim ◽  
Kyung-Yun Kang ◽  
Min Jeong Hong ◽  
...  

Anthocyanins (a subclass of flavonoids) and flavonoids are crucial determinants of flower color and substances of pharmacological efficacy, respectively, in chrysanthemum. However, metabolic and transcriptomic profiling regarding flavonoid accumulation has not been performed simultaneously, thus the understanding of mechanisms gained has been limited. We performed HPLC-DAD-ESI-MS (high-performance liquid chromatography coupled with photodiode array detection and electrospray ionization mass spectrometry) and transcriptome analyses using “ARTI-Dark Chocolate” (AD), which is a chrysanthemum mutant cultivar producing dark-purple ray florets, and the parental cultivar “Noble Wine” for metabolic characterization and elucidation of the genetic mechanism determining flavonoid content. Among 26 phenolic compounds identified, three cyanidins and eight other flavonoids were detected only in AD. The total amounts of diverse flavonoids were 8.0 to 10.3 times higher in AD. Transcriptome analysis showed that genes in the flavonoid biosynthetic pathway were not up-regulated in AD at the early flower stage, implying that the transcriptional regulation of the pathway did not cause flavonoid accumulation. However, genes encoding post-translational regulation-related proteins, especially F-box genes in the mutated gene, were enriched among down-regulated genes in AD. From the combination of metabolic and transcriptomic data, we suggest that the suppression of post-translational regulation is a possible mechanism for flavonoid accumulation in AD. These results will contribute to research on the regulation and manipulation of flavonoid biosynthesis in chrysanthemum.


Genes ◽  
2019 ◽  
Vol 10 (12) ◽  
pp. 1024
Author(s):  
Yan Hong ◽  
Mengling Li ◽  
Silan Dai

The generation of chrysanthemum (Chrysanthemum × morifolium) flower color is mainly attributed to the accumulation of anthocyanins. Light is one of the key environmental factors that affect the anthocyanin biosynthesis, but the deep molecular mechanism remains elusive. In our previous study, a series of light-induced structural and regulatory genes involved in the anthocyanin biosynthetic pathway in the chrysanthemum were identified using RNA sequencing. In the present study, differentially expressed proteins that are in response to light with the capitulum development of the chrysanthemum ‘Purple Reagan’ were further identified using isobaric tags for relative and absolute quantification (iTRAQ) technique, and correlation between the proteomic and the transcriptomic libraries was analyzed. In general, 5106 raw proteins were assembled based on six proteomic libraries (three capitulum developmental stages × two light treatments). As many as 160 proteins were differentially expressed between the light and the dark libraries with 45 upregulated and 115 downregulated proteins in response to shading. Comparative analysis between the pathway enrichment and the gene expression patterns indicated that most of the proteins involved in the anthocyanin biosynthetic pathway were downregulated after shading, which was consistent with the expression patterns of corresponding encoding genes; while five light-harvesting chlorophyll a/b-binding proteins were initially downregulated after shading, and their expressions were enhanced with the capitulum development thereafter. As revealed by correlation analysis between the proteomic and the transcriptomic libraries, GDSL esterase APG might also play an important role in light signal transduction. Finally, a putative mechanism of light-induced anthocyanin biosynthesis in the chrysanthemum was proposed. This study will help us to clearly identify light-induced proteins associated with flower color in the chrysanthemum and to enrich the complex mechanism of anthocyanin biosynthesis for use in cultivar breeding.


Plants ◽  
2020 ◽  
Vol 9 (4) ◽  
pp. 532 ◽  
Author(s):  
Sang Hoon Kim ◽  
Se Won Kim ◽  
Jaihyunk Ryu ◽  
Si-Yong Kang ◽  
Byoung-Cheorl Kang ◽  
...  

Radiation randomly induces chromosomal mutations in plants. However, it was recently found that the frequency of flower-color mutants could be specifically increased by upregulating anthocyanin pathway gene expression before radiation treatments. The mechanisms of chlorophyll biosynthesis and degradation are active areas of plant study because chlorophyll metabolism is closely connected to photosynthesis. In this study, we determined the dark/light treatment conditions that resulted in upregulation of the expression levels of six chlorophyll pathway genes, uroporphyrinogen III synthase (HEMD), uroporphyrinogen III decarboxylase (HEME2), NADPH-protochlorophyllide oxidoreductase (POR) A (PORA), chlorophyll synthase (CHLG), chlorophyllase (CLH2), and red chlorophyll catabolite reductase (RCCR), and measured their effects on the γ-irradiation-induced frequencies of leaf-color mutants in two Cymbidium cultivars. To degrade chlorophyll in rhizomes, 60–75 days of dark treatment were required. To upregulate the expressions of chlorophyll pathway genes, 10 days of light treatment appeared to be optimal. Dark/light treatments followed by γ-irradiation increased chlorophyll-related leaf mutants by 1.4- to 2.0-fold compared with γ-ray treatment alone. Dark/light treatments combined with γ-irradiation increased the frequency of leaf-color mutants in Cymbidium, which supports the wider implementation of a plant breeding methodology that increases the mutation frequency of a target trait by controlling the expression of target trait-related genes.


Blood ◽  
2015 ◽  
Vol 126 (23) ◽  
pp. 3883-3883
Author(s):  
Athena Kritharis ◽  
J. Tyson McDonald ◽  
Afshin Beheshti ◽  
Monika Pilichowska ◽  
Kristine Burgess ◽  
...  

Abstract Background: TCLs are an uncommon, heterogeneous group of neoplasms with no consensus on optimal treatment and human 5-year survival rates <20-30%. The canine provides a potentially attractive model to study TCL in part given their spontaneously occurring cancers, intact immune system, and phylogenetic resemblance to humans. Furthermore, approximately 1/3 of all lymphomas in canine are TCL (cTCL). Previous research from our group (ASH 2014, #74755) identified 118 differentially expressed genes by RNA seq analyses comparing canine PTCL with normal canine lymph node, and PI3K, GATA3, GRB2 and PPARG as candidate biomarker genes by canonical pathway and network analyses. We aimed to further interrogate the canine as a model by histologic review and detailed genomic examination of cTCL. Methods: We evaluated de novo cTCL with immunohistochemistry (IHC) and next generation DNA sequencing for a priori genes. IHC on canine TCL was evaluated with human antibodies against CD5, CD79a, Ki67, CD3, CD4, CD8 and CD30. Canine DNA was extracted from 14 fresh frozen tissue samples and 2 paraffin embedded blocks using the QIAamp DNA Mini Kit. Utilizing the human Cancer Hotspot Panel v2 (hCHPv2), a custom expanded panel of 68 genes actively expressed in lymphoma tumor cells was created to screen cTCL for mutations. COSMIC database and PubMed was used to identify common variants expected to be present. Targets from the hCHPv2 were converted from the human genome (hg19) to positions in the canine genome (canFam3) using liftOver (UCSC Genome Browser). Following targeted amplification using the custom canine library, DNA sequencing was performed with the Ion Personal Genome Machine resulting in 4,527,638 total reads with an average length of 229 bases and 708x coverage per sample. Results: For IHC, we examined 10 primary cTCL cases utilizing human antibodies. The cTCL cases staining patterns included: 100% were CD79a negative; 80% were CD5+; Ki67 was variable; while the remaining multiple markers did not react to human antibodies. We subsequently evaluated 16 primary cTCL tumor tissue samples using DNA sequencing. There were 331 unique variants and 1474 total variants; each sample had an average of 92 variants. The most prevalent coding consequences mutations were intron variations (68%), followed by synonymous (14%) and missense variations (9%) (Fig. 1A). The most prevalent mutations were found in ATM, KIT, ERBB4, TNFAIP3, and TET2 (Fig. 1B). ATM has been implicated as a tumor suppressor and mutations have been described on a case basis in human thymic and mantle cell lymphomas, however, not in TCL. Furthermore, the majority of ATM variants identified in our analysis were non-coding or synonymous. In ATM, there were 22 mutations with 17 found as introns. The 5 coding mutations had only one of which was missense (M1758T), the others were silent (Fig. 1C). Conversely, the most prevalent variants found in the coding region were found in SMO, TP53, TNFAIP3, and TET2. Of all coding variants, 15 missense variants in TNFAIP3, JAK2, MYC, MET, SMO, DNMT3A, RB1, PIK3CA, TP53, and ERBB2 appeared to be deleterious through bioinformatics analysis. Additionally, a frameshift variant in CDH1 resulted in a 3 bp deletion that has not been described in dbSNP. Finally, mutations in KIT, TNFAIP3 and TET2 have been described in canine and human TCL with varying frequency. Conclusion: To the best of our knowledge, this represents one of the first genomic comparative oncology analyses conducted in TCL. Collectively, the DNA sequencing analysis in cTCL identified genomic similarities and novel mutations that may help unearth new oncogenic pathways in human TCL (e.g., ATM). Furthermore, the deleterious frameshift and missense mutations identified in this study as from TNFAIP3 and CDH1 are novel, of which has not been described in prior research. Continued investigation is needed towards the enhanced delineation of protein expression of cTCL and examination of the functional impact of genomic perturbations identified in cTCL in comparison to human TCL. Figure 1. Next generation DNA sequencing of canine TCL . A. Coding consequences by variant type. B. All gene variations by frequency C. Mutation map of ATM. Figure 1. Next generation DNA sequencing of canine TCL . A. Coding consequences by variant type. B. All gene variations by frequency C. Mutation map of ATM. Disclosures No relevant conflicts of interest to declare.


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