Qingfeng Wang’s research while affiliated with Chinese Academy of Sciences and other places

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Publications (91)


Fig. 3 Expression levels of genes in phenylpropanoid biosynthesis, flavonoid biosynthesis, and galactose metabolism pathways under different drought treatments (CK, D9, D12) in C. rotundifolia leaves. Enzymes abbreviations: PAL, phenylalanine/tyrosine ammonia-lyase; C4H, trans-cinnamate 4-monooxygenase; 4CL, 4-coumarate-CoA ligase; C3H, p-coumarate 3-hydroxylase; HCT, shikimate O-hydroxycinnamoyltransferase; COMT, caffeic acid 3-O-methyltransferase/acetylserotonin; CCoAMT, caffeoyl-CoA O-methyltransferase; CCR, cinnamoyl-CoA reductase; CAD, cinnamyl-alcohol dehydrogenase; CHS, chalcone synthase; CHI, chalcone isomerase; F3H, flavonoid-3-hydroxylase; DFR, bifunctional dihydroflavonol 4-reductase/ flavanone 4-reductase; LAR, leucoanthocyanidin reductase; F3'H, flavanone-3'-hydroxylase; F3' ,5'H, flavonoid 3' ,5'-hydroxylase; FNS, flavone synthase; FLS, flavonol synthase; ANR, anthocyanidin reductase; LDOX, leucoanthocyanidin dioxygenase. RAFS, raffinose synthase; GAS, alpha-galactosidase; STS, stachyose synthetase; FRS, beta-fructofuranosidase; GLS, alpha-glucosidase; GolS, galactinol synthase; GALT, UDPglucose-hexose-1-phosphate uridylyltransferase; PGM, phosphoglucomutase (alpha-D-glucose-1,6-bisphosphate-dependent)
Fig. 5 DEGs directly interacted with FLS (CRGY0215161). The orange, grey, black, green, blue, brown, and pink circles represent DEGs in flavonoids biosynthesis, transcription factors, ABA biosynthesis and signaling pathway, photosynthesis, stomatal movement, antioxidant enzymes and protein kinases, respectively. The size of circles represents the connectivity of the genes
Transcriptional modification and the accumulation of flavonoid in the leaves of Cissus rotundifolia Lam. in respond to drought stress
  • Article
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March 2025

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29 Reads

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1 Citation

Stress Biology

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Huimin Zhou

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Cissus rotundifolia Lam. is an evergreen climber that mainly distributed in the tropical savannas of eastern Africa with excellent drought resistance. While the mechanism underlying drought stress response in C. rotundifolia remains unknown. In this study, we investigated the transcriptomics and flavonoid metabolomics responses of C. rotundifolia leaves under different drought conditions. We identified a total of 2401 differentially expressed genes (DEGs) in drought-treated leaves. The continuously increasing DEGs were significantly enriched in pathways related to phenylpropanoid biosynthesis, flavonoid biosynthesis, and galactose metabolism. The total flavonoids content were also found increased significantly during drought treatment in the leaves of C. rotundifolia . A total of 57 distinct flavonoids were identified using UPLC-MS/MS. Among them, nine out of ten differentially accumulated metabolites (DAMs) displayed notable accumulation profiles under drought conditions. These DAMs included two flavanols [(-)-Catechin gallate and (-)-gallocatechin gallate], two flavonols (myricetin and astragalin), four flavones (orientin, cynaroside, isoorientin, and vitexin), and one flavanone (naringenin-7-glucoside), indicating their pivotal roles in drought response. Additionally, a DEG with continuously high-expression, annotated flavone synthase ( FLS ) synthesises, and synthetizing myricetin under drought stress was tightly related to additional genes belonging to ABA-signaling genes, stomata movement genes, transcription factors, and protein kinases, these genes were contained Top 10 hub-genes of network constructed all DEGs. The results reflect the significance of FLS and potentially regulatory genes under drought conditions. These findings suggest that flavonoids play a pivotal role in the drought stress response of C. rotundifolia , advancing our understanding of flavonoids accumulation and the transcriptional regulation involved in this process.

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Identification of potential metabolites responsible for cold tolerance in buds of Vitis amurensis

January 2025

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102 Reads

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1 Citation

Horticultural Plant Journal

Cold tolerance is one of the important traits for grapevine, especially in regions with extremely low temperatures in winter. Vitis amurensis is wild species in the Vitis genus with excellent cold hardiness compared with Vitis vinifera. However, metabolites that contribute to the cold tolerance of V. amurensis remain unknown. Here, the metabolomics of buds from V. amurensis ‘Zuoshan-1’ during cold acclimation (CA) were identified, and cold-sensitive cultivar (V. vinifera ‘Jingzaojing’) was used as the control. The buds were collected in October, November, and December in 2016 and 2018. The cold hardiness of the buds increased during CA in the two grapevines. However, browning was observed only in V. vinifera buds at temperature below −10 °C. Among detected metabolites from buds, 443 metabolites were overlapped between two years. Forty-four and thirty differentially accumulated metabolites (DAMs) were identified in V. amurensis and V. vinifera, respectively. Ten DAMs including monoacylglycerol (MAG, 18 : 2) isomer1, trehalose 6-phosphate, and D-glucose showed identical variations in the two grapevines, indicating conserved CA responses within the Vitis genus. Eighteen DAMs exhibited higher accumulation in V. amurensis than in V. vinifera. Maltotetraose, D-glucoronic acid, L-aspartic acid, azelaic acid, and 4-hydroxybenzoic acid were reported to accumulate during CA in other plants. Enhanced cold tolerance was detected in grapevine leaves with exogenous 5 mmol · L-1 L-aspartic acid and 1% proanthocyanidins. Potential contributions of other DAMs found in V. amurensis such as Cyanidin 3-O-glucoside need to be further elucidated. Thus, eighteen metabolites accumulated in V. amurensis can be used for practical application in improvement of cold resistance in grapevine. Our findings provide new insights into understanding the cold hardiness of V. amurensis. Keywords: grapevine; metabolomics; bud; low temperature; cold hardiness


Mean annual temperature (MAT) and annual precipitation regime (APR) during 1907–2016 in Mount Kenya. (a) Remote sensing image of Mount Kenya in 2000, the colors reflecting the Normalized Difference Vegetation Index (NDVI) with greenish colors indicating vegetation cover and the black dashed horizontal line represents the equator (provided by Xianhu Wei from the Institute of Remote Sensing and Digital Earth, CAS, China). (b) Upland region of Mount Kenya. (c) Lowland region of Mount Kenya. Anomalies (red, positive; blue, negative) in (d) MAT and (f) APR during 1907–2016. Anomalies were averaged across 7056 elevation sites in Mount Kenya (spatial resolution of 30 arc‐second) and represent deviations from an average value during the historical period of 1907–1974. The solid curve is the smoothed average using an 11‐yr filter. Differences in (e) MAT and (g) APR between the modern (1975–2016) and historical (1907–1974) period are depicted separately for upland (> 3100 m above sea level, asl) and lowland (≤ 3100 m asl) regions. The thin black rectangle within the violin plots indicates the middle 50% (from the first quartile to the third quartile). The thick black line within the violin plots indicates the median value. ***, P ≤ 0.001; ns, P > 0.05 (not significant).
Centroid positions of species along the elevational gradient. Historical (1907–1974) and modern (1975–2016) range of centroid positions along the elevational gradient of Mount Kenya for: (a) all 139 studied seed plant species; (b) the subset of upland species; and (c) the subset of lowland species. Red triangles and blue inverted triangles display upslope and downslope range shifts, respectively. Triangles with a thick black border depict species for which the magnitude of the shift in the range centroid is significant. (d) Difference in the elevational position of the range centroid between the historical and modern period, separately for lowland and upland species. Changes in the position of the upper and lower elevational limits for (e) upland and (f) lowland species separately. The thin black rectangle within the violin plots indicates the middle 50% (from the first quartile to the third quartile). The thick black line within the violin plots indicates the median value. The white dots represent the mean values. *, 0.01 < P ≤ 0.05; ***, P ≤ 0.001; ns, P > 0.05 (not significant).
Climate change drives plant diversity attrition at the summit of Mount Kenya

December 2024

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264 Reads


Location of tropical East Africa. a Geographical location. b The landscape of vegetation
Overview of the checklist of medicinal plants in tropical East Africa. The main figure illustrates the count of families and genera of medicinal plants. The upper-left pie chart displays the percentage of IUCN Red List Categories and Criteria, and the right depicts the percentage of endemism. CR Critically Endangered, EN Endangered, VU Vulnerable, NT Near Threatened, LC Least Concern, Others: Other categories. SE Strictly endemic, NE Near-endemic, NA Non-endemic
Patterns of medicinal plants in tropical East Africa. aNumber of herbal and woody medicinal species in each country. b Proportion of medicinal parts in tropical East Africa. Green and red color represents woody and herbal medicinal plants respectively; Grey represents roots, stems, leaves, flowers, fruits, seeds, bark and exudate from left to right. Silhouette comes from https://www.phylopic.org/. c–e Spatial distribution pattern of all medicinal species richness (SRtotal), native species richness (SRnative) and alien species richness (SRalien) in tropical East Africa
Spatial distribution pattern of quantitative indicators of medicinal plants in tropical East Africa. a The specificity index for endemic species (Iedm). b The specificity index for endangered species (Iiucn). c The index of collection risk (Irc). d–f Correlation and regression analysis between Iedm, Iiucn, Irc and species richness of grid
Priority conservation areas for medicinal plants in tropical East Africa. a Conservation Priorities I and II determined for CPI based on the Natural Break (Jenks) method. b Conservation Priorities I and II determined for CPI’ (CPI / GSR) based on the Natural Break (Jenks) method. c Histogram density plots for CPI, CPI’ and GSR. PAs Protected areas
Diversity and conservation of medicinal plants in tropical East Africa

November 2024

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345 Reads

Biodiversity and Conservation

Medicinal plants play a crucial role in healthcare practices and are an integral part of human society. A comprehensive checklist of medicinal plants is the basis for the risk and protection. Tropical East Africa (TEA) has a high diversity of medicinal plants. This study compiled a comprehensive checklist using published books and literature comprising 2855 medicinal plants spanning 180 families and 1034 genera in TEA. The family with the largest number of medicinal plant species is Fabaceae, followed by Asteraceae and Rubiaceae. The root emerges as the most utilized part in woody medicinal plants, contrasting with herbaceous plants where leaves take precedence. The regions with high diversity of medicinal plants are mainly concentrated in northern and southern Rwanda, western Burundi, western Uganda, central and western Kenya, as well as northeastern and southwestern Tanzania. Priority conservation areas for medicinal plants were identified based on specific species and risk of collection, and included regions of west-central Kenya, northeastern Tanzania, and eastern Burundi. Our research emphasizes the significance of protecting these valuable medicinal plants by proposing corresponding conservation measures. The medicinal plant resources of TEA remain an opportunity for exploration, and the diversity of medicinal plants needs to be further improved.


Figure 1. Protein characterization of VvbHLH036 and its expression analysis. A) Sequence alignment of VvbHLH036 and functionally characterized bHLH proteins in a selection of plants. VvbHLH036 (VIT_212s0028g03550, V. vinifera), AtbHLH055 (AT1G12540, A. thaliana), AtbHLH125 (AT1G62975, A. thaliana), OsbHLH056 (LOC_Os01g72370, O. sativa), SlbHLH066 (Solyc10g079650, S. lycopersicum), and PpbHLH037 (Pp3c13_2080V3, P. patens). The boxed region depicts the atypical bHLH domain. The different colors represent the degree of sequence conservation. B, C) RT-qPCR expression analysis of VvbHLH036 in grape leaves and roots after cold treatment. h, hours. Determination was performed at 0, 2, 4, 8, 24, and 48 h under cold stress at 4 °C. Actin and MDH were used as internal controls. Data are average values and the error bars represent standard deviations (S.D.) of the three independently grown plants. The "**" and "*" indicate significant differences compared with 0 h at P < 0.01 and P < 0.05, respectively (Student's t-test). D) Subcellular localization of VvbHLH036-GFP in N. benthamiana protoplasts. VvbHLH036-GFP fusion vector and nuclear marker VirD2NLS-mCherry were transiently transformed into N. benthamiana leaves, and localization was observed under confocal laser microscopy. Bright: white light; mCherry: VirD2NLS-mCherry (red fluorescence); Merged: combined GFP and mCherry signals. Bar = 10 μm. At least three independent subcellular localization experiments were performed and a representative result is shown. E) Transcriptional activation of VvbHLH036 in yeast cells. pGBKT7-VvbHLH036, vector pGBKT7 containing VvbHLH036; pGBKT7, negative control; pGBKT7-p53, positive control. The yeast cells containing the above-mentioned vectors, respectively, were grown on SD/-Trp or SD/-Trp-His medium for transcriptional activity detection.
Figure 3. Identification of high-confidence downstream target genes of VvbHLH036. A) RNA-Seq expression (expressed as FPKMs) of VvbHLH036 in OE-VvbHLH036 roots and EV roots. Significant upregulation (log 2 FC of 12, FDR 2.30E-26) in OE-VvbHLH036 roots compared to the EV roots is noted. B) Comparative transcriptome analysis of VvbHLH036-OE and control EV roots. Enriched Mapman BIN categories (FDR < 0.05) highlighting general terms (BIN depth of 0) is depicted. Mapman BIN v4 is used. Red and blue circles depict the number of VvbHLH036-OE upregulated and downregulated genes compared to control EV roots, respectively. Circle size and opacity depict the number of genes in each enriched category and their associated enrichment scores (expressed as −log 10 FDR), respectively. C) Proportion of VvbHLH036-OE upregulated (red box) and downregulated (blue box) genes containing the G-box cis-regulatory element (CACGTG) in their promoter region compared to the background occurrence (gray box). Significance values (P < 0.01) are indicated (hypergeometric test). n.s., not significant. D) Distribution plots of G-box occurrences in promoters (1.0 kb upstream of the TSS) of VvbHLH036-OE upregulated genes at 100 bp intervals. E) Ranking of VvbHLH036-OE upregulated genes according to the frequency of G-box element in respective promoters and enrichment scores. A HCT, VvThrC1 is indicated. F) Hierarchical clustered expression heat map depicting the responses of VvbHLH036-OE upregulated genes containing at least one G-box element in their respective promoters in a 24 h time-course chilling stress experiment in leaves (Hou et al. 2023). G-box is not present in the promoters of VvbHLH036 but is included for comparison. i-iv) Indicate log 2 FC of cold stress treatment at 2, 4, 8, and 24 h compared to 0 h (control), respectively. Clusters 1 and 2 depict strong early to late and mid-to-late induction during chilling stress of leaves, respectively, while cluster 3 members were generally downregulated regardless of time points. G) A subcluster of F depicting the close relationship of VvbHLH036 and VvThrC1 cold-stress response in leaves (orange box in Fig. 3F). H) RNA-Seq expression (expressed as FPKMs) of VvThrC1 in OE-VvbHLH036 roots and EV roots. Significant upregulation (log 2 FC of 3, FDR 1.70E-18) in OE-VvbHLH036 roots compared to the EV roots is noted. Data are average values and the error bars represent S.D. of the three independent transgenic roots. I) RT-qPCR analysis of VvThrC1 in VvbHLH036 mutagenized root lines after cold treatment. Actin and MDH were used as internal controls. Data are average values and the error bars represent S.D. of the three independent transgenic roots. ANOVA (Duncan's test; P < 0.05). J, K) RT-qPCR expression analysis of VvThrC1 in grape leaves and roots after cold treatment. Actin and MDH were used as internal controls. Data were collected from three independent plants. Data were the mean values and the error bar indicated the S.D.. Student's t-test, *P < 0.05, **P < 0.01.
Figure 4. VvbHLH036 activates VvThrC1 expression through the direct binding of the VvThrC1 promoter. A) Schematic representation of the bait and prey constructs. VvbHLH036 protein was fused with the GAL4 AD in a pGADT7-AD vector to generate the prey (AD-VvbHLH036). VvThrC1 promoter fragment containing the G-box (CACGTG) and its corresponding mutant (CAAAAG) were cloned into the phis2 vector and used as baits. p ADH1 , promoter for alcohol dehydrogenase 1; GAL4AD, activation domain of the GAL4 transcriptional activator; LEU2, 3-isopropylmalate dehydrogenase required for leucine biosynthesis. Yeast auxotrophic marker; P Thr , VvThrC1 promoter fragment containing the G-box (CACGTG); HIS3, imidazole glycerol-phosphate dehydratase required for histidine biosynthesis. Yeast auxotrophic marker; TRP1, phosphoribosyl anthranilate isomerase, required for tryptophan biosynthesis. Yeast auxotrophic marker; P mThr , VvThrC1 promoter fragment containing the mutant G-box (CAAAAG). B) Yeast one-hybrid assay showing the binding of VvbHLH036 to the promoter of VvThrC1. SD/-Trp/-Leu/-His + 100 mM 3AT is an SD/-Trp/-Leu/-His medium supplemented with 100 mM 3AT. At least two independent Y1H experiments were performed and a representative result is depicted. C) Schematic diagram of the reporter and effector. LUC activity was measured using 35S::VvbHLH036 as the effector and 35S::LUC, P Thr -35S::LUC and P mthr -35S::LUC as reporters. D) Dual LUC complementation imaging assays. (a) 35S::bHLH036 + pgreenII-0800-LUC; (b) 35S::bHLH036 + P thr-1800 ::luc; (c) 35S::bHLH036 +P mthr-1800 ::luc. Bar = 1 cm. E) LUC/REN ratios. LUC, firefly luciferase. REN, Renilla luciferase. (a) 35S::bHLH036 + pgreenII-0800-LUC; (b) 35S::bHLH036 + P thr-1800 ::luc; (c) 35S::bHLH036 +P mthr-1800 ::luc. Data were the mean values and the error bar indicated the S.D. of the three biological replicates. Student's t-test, *P < 0.05, **P < 0.01. F) Electromobility shift assay (EMSA). EMSA was performed using a biotin-labeled VvThrC1 promoter fragment containing the G-box (CACGTG) and a mutant probe (CAAAAG) as competitor. The His protein was used as a negative control. "+" and "−" indicate the presence and absence of the specified probe or protein, respectively. Representative results from at least two independent EMSA experiments are depicted.
Figure 7. Exogenous threonine spraying increased the cold tolerance of grapevine leaves by reducing the content of O 2 − and H 2 O 2 . A) LT 50 (°C) values. Plantlets of "Muscat Hamburg" were treated with 100 mg/L L-threonine, and distilled water was used as control (CK). LT 50 (°C) values were calculated after the plants were treated with L-threonine for 2 h. Data are the mean values ± S.D. of 10 independent plants. Student's t-test, *P < 0.05, **P < 0.01. LT 50 , semilethal temperature. B) EL in EV and VvbHLH036-and VvThrC1-mutagenized roots. CK, treatment with H 2 O as control; Threonine, treatment with L-threonine (100 mg/L); 0 h, before cold treatment; 24 h, 24 h after cold treatment (4 °C). Data are the mean values ± S.D. of five independent transgenic roots. ANOVA (Duncan's test; P < 0.05). C) DAB staining for H 2 O 2 . D) NBT staining for O 2 − . E, F) The content of H 2 O 2 and O 2 − . Data are the mean values ± S.D. of three independent plants. ANOVA (Duncan's test; P < 0.05).
Figure 8. A model of VvbHLH036 in regulating the threonine synthesis under cold stress in grapevine. Low-temperature stress induces the expression of VvbHLH036, which binds to the G-box element in the promoter region of VvThrC1 to activate its expression, leading to threonine accumulation. Exogenous spraying of threonine increased chilling tolerance in grapevine by reducing the accumulation of H 2 O 2 and O 2 − .
VvbHLH036, a basic helix-loop-helix transcription factor regulates the cold tolerance of grapevine

September 2024

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193 Reads

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6 Citations

Plant Physiology

Cold stress is an adverse environmental factor that limits the growth and productivity of horticulture crops such as grapes (Vitis vinifera). In this study, we identified a grapevine cold-induced basic helix–loop–helix (bHLH) transcription factor (VvbHLH036). Overexpression and CRISPR/Cas9-mediated knockout (KO) of VvbHLH036 enhanced and decreased cold tolerance in grapevine roots, respectively. Transcriptome analysis of VvbHLH036-overexpressed roots identified threonine synthase (VvThrC1) as a potential downstream target of VvbHLH036. We confirmed that VvbHLH036 could bind the VvThrC1 promoter and activate its expression. Both the transcripts of VvThrC1 and the content of threonine were significantly induced in the leaves and roots of grapevine under cold treatment compared to controls. Conversely, these dynamics were significantly suppressed in the roots of CRISPR/Cas9-induced knockout of VvbHLH036. These observations support the regulation of threonine accumulation by VvbHLH036 through VvThrC1 during cold stress in grapevine. Furthermore, overexpression and CRISPR/Cas9-mediated knockout of VvThrC1 also confirmed its role in regulating threonine content and cold tolerance in transgenic roots at low temperature. Exogenous threonine treatment increased cold tolerance and reduced the accumulation of superoxide anions and hydrogen peroxide in grapevine leaves. Together, these findings point to the pivotal role of VvbHLH036 and VvThrC1 in the cold stress response in grapes by regulating threonine biosynthesis.




Figure 1. Morphology and genome evolution of C. quadrangularis. (A) The succulent, 155 square stems and 3-lobed leaves of C. quadrangularis. (B) Distribution of genomic features 156 of the C. quadrangularis genome. Each track shows GC content, gene density, repetitive 157
Figure 2. Gene number and expression of two subgenomes. (A) Gene number of two 232 subgenomes in C. quadrangularis. Gene number in per collinear block between two 233 subgenomes was used to plot and imitate to show the difference of gene content. (B-D) Gene 234 expression in per gene pair between subgenomes in root, stem, leaf. The expressions of gene 235 pairs were used to show the dominance of expression in C. quadrangularis. The collinear 236 blocks and gene pairs were generated by MCScanX between subgenomes. (E) The expression 237 of allelic genes associated drought signal pathway. A gene and B gene present allelic gene in 238 sub-A genome and sub-A genome. CK, 60% SRWC; D1, 30% SRWC; D2, 10% SRWC. 239 240
Figure 5. The CAM pathway in C. quadrangularis. (A) Diurnal variation of titratable 365 acidity in C 3 -like leaves and CAM stems of C. quadrangularis. (B) Peak times of rhythmic 366 transcripts across the 24-h diel cycle in two tissues. (C) Time of phase shift between leaves 367 and stems. The full circle represents 24 h and each angle represents lagging time of gene 368 expression in leaves compared to stems. Time points labeled orange were over 2000 shift 369 genes. (D) Expression patterns and cis-regulatory elements of core CAM genes across the 370 diurnal variation. The expression level of each gene is shown using the log10-transformed 371 method. The numbers of evening element and morning element are shown in the 2-kb 372
The Cissus quadrangularis genome reveals its adaptive features in arid habitat

February 2024

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169 Reads

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1 Citation

Horticulture Research

Cissus quadrangularis is a tetraploid species belonging to the Vitaceae family and is known for the Crassulacean acid metabolism (CAM) pathway in the succulent stem, while the leaves perform C3 photosynthesis. Here, we report a high-quality genome of C. quadrangularis comprising a total size of 679.2Mb which was phased into two subgenomes. Genome annotation identified 51,857 protein-coding genes, while approximately 47.75% of the genome was composed of repetitive sequences. Gene expression ratios of two subgenomes demonstrated that the sub-A genome as the dominant subgenome played the vital role during the drought tolerance. Genome divergence analysis suggests that the tetraploidization event occurred around 8.9 million years ago. Transcriptome data revealed that pathways related to cutin, suberine, and wax metabolism were enriched in the stem during drought treatment, suggesting that these genes contributed to the drought adaption. Additionally, a subset of CAM-related genes displayed diurnal expression patterns in the succulent stems but not in leaves, indicating that stem-biased expression of existing genes contributed to the CAM evolution. Our findings provide insights into the mechanisms of drought adaptation and photosynthesis transition in plants.


Figure 1. An overview of genomic features Cryptocoryne crispatula genome. (a) Chromosome length; (b) GC content; (c) gene density; (d) repeat coverage; (e) LTR-Gypsy density; (g) LTR-Copia density; (g) syntenic blocks. The window size used in the circles was 200 kb.
Figure 2. Gene family analysis. (A) Phylogenetic tree showing divergence times and the evolution of gene families in freshwater Araceae. The estimated divergence times (million years ago, Mya) are shown at each node. Expansion and contraction of gene families are denoted as numbers with green and red, respectively. (B) Bar plot showing gene number identified by OrthorFinder. Unassigned genes: a gene that has not been assigned any orthogroup, i.e. singleton genes that have no orthologs in other species and no copy genes within a species. (C) Venn diagram showing the expanded gene families among four freshwater plants. (D) Venn diagram showing the contracted gene families among four freshwater plants.
Figure 3. Comparative analysis of evolutionary rates between freshwater and terrestrial plants. (A) A maximum-likelihood tree was inferred using IQ-TREE, with A. tatarinowii as an outgroup. The number on the branch represents the branch length information. (B) We applied the free-ratio model to calculate dN, dS, and dN/dS separately for each species. The dotted line of the box plot means the average value. P-value is from Wilcoxon signed ranks test (***P < 0.001).
Figure 4. Hierarchical clustering of synteny genes in Araceae. (A) 16,147 synteny network clusters were identified in seven Araceae plants. (B) 70 freshwater plant-specific synteny clusters were identified in seven species. (C) 784 submerged plant-specific synteny clusters and 479 floating plantspecific synteny were identified in seven species, respectively. (D) Significantly enriched biological process top 25 GO terms of specific synteny clusters in submerged plant genomes. (E) Top 20 of KEGG enrichment of specific synteny clusters in submerged plant genomes. (F) Significantly enriched biological process top 25 GO terms of specific synteny clusters in floating plant genomes. (G) Top 20 of KEGG enrichment of specific synteny clusters in floating plant genomes.
Statistics of C. crispatula genome assembly
The chromosome-level genome of the submerged plant Cryptocoryne crispatula provides insights into the terrestrial-freshwater transition in Araceae

January 2024

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127 Reads

DNA Research

Plant terrestrialization (i.e., the transition to a terrestrial environment) is a significant evolutionary event that has been intensively studied. While certain plant lineages, particularly in angiosperms, have re-adapted to freshwater habitats after colonizing terrene, however, the molecular mechanism of the terrestrial-freshwater (T-F) transition remains limited. Here, the basal monocot Araceae was selected as the study object to explore the T-F transition adaptation mechanism by comparative genomic analysis. Our findings revealed that the substitution rates significantly increased in the lineage of freshwater Araceae, which may promote their adaptation to the freshwater habitat. Additionally, 20 gene sets across all four freshwater species displayed signs of positive selection contributing to tissue development and defense responses in freshwater plants. Comparative synteny analysis showed that genes specific to submerged plants were enriched in cellular respiration and photosynthesis. In contrast, floating plants were involved in regulating gene expression, suggesting that gene and genome duplications may provide the original material for plants to adapt to the freshwater environment. Our study provides valuable insights into the genomic aspects of the transition from terrestrial to aquatic environments in Araceae, laying the groundwork for future research in the angiosperm.



Citations (73)


... Substantial evidence indicates that flavonoids contribute to drought adaptation through multiple mechanisms including maintaining cellular osmotic balance, enhancing plant water retention capacity, and serving as biomarkers for biotic and abiotic stress tolerance [38,39]. Flavonoids directly neutralize reactive oxygen species (ROS) through their phenolic hydroxyl groups and by maintaining cell membrane integrity through lipid peroxidation inhibition [40,41]. However, the role of flavonoid compounds in helping black locust cope with drought stress has not been reported [42,43]. ...

Reference:

Physiological and Flavonoid Metabolic Responses of Black Locust Leaves to Drought Stress in the Loess Plateau of China
Transcriptional modification and the accumulation of flavonoid in the leaves of Cissus rotundifolia Lam. in respond to drought stress

Stress Biology

... Grapevine hairy root transformation was performed following the method described by Hou et al. (2024). Agrobacterium was cultured overnight in liquid TY medium supplemented with different antibiotics (streptomycin for MSU440, spectinomycin for pSAK277 and kanamycin for pKSE401) until OD 600 reached 0.8. ...

VvbHLH036, a basic helix-loop-helix transcription factor regulates the cold tolerance of grapevine

Plant Physiology

... However, some studies suggested that the two factors influenced taxonomic and functional beta diversity, respectively [17]. These discordances stem from differences in scientific questions, spatiotemporal scales, experimental subjects, and methods [5,18,19]. Therefore, it is crucial to search for the influential mechanisms of environmental and spatial factors that affect the different facets of biodiversity. In this way, management and protection strategies tailored to the specific local situation can be proposed. ...

Geographic patterns and environmental correlates of taxonomic, phylogenetic and functional β-diversity of wetland plants in the Qinghai-Tibet Plateau

Ecological Indicators

... Вирощуючи кукурудзу в районі Гуйчжоу Китаю, де видобувають ртуть, вчені зробили висновок, що культура є резервуаром ґрунтового й атмосферного накопичення і позитивно впливає на екологічну реабілітацію та збереження навколишнього середовища (Wang D. et al., 2024). ...

Ecological restoration reduces mercury in corn kernel and the distinction of mercury in corn plants in rural China - A case in Wuchuan mercury mining area
  • Citing Article
  • January 2024

Ecotoxicology and Environmental Safety

... With the implementation of the straw burning ban in China in 2014, the flow of Hg in crops has significantly changed. For instance, the amount of Hg released into the atmosphere from corn stalks fell by about 50% after the ban, while the amount of Hg flowing into the soil increased 4.5 times (Wang et al. 2024). ...

Estimation of mercury uptake and distinction of corn cultivation in China
  • Citing Article
  • October 2023

The Science of The Total Environment

... Distylous HSI is controlled by a hemizygous region of several genes of the S-locus leading to a dominant S-haplotype encoding for S-morph when present, and to a recessive s-haplotype encoding for L-morph when absent (Li et al., 2016;Kappel et al., 2017;Barrett, 2019;Shore et al., 2019;Gutiérrez-Valencia et al., 2022;Fawcett et al., 2023;Yang et al., 2023;Zhao et al., 2023). The S-genes and molecular pathways responsible for the SI reaction have started to be elucidated recently in the Primula and Turnera genera (Barrett, 2019; Shore et al., 2019;Matzke et al., 2021;Henning et al., 2022;Huu et al., 2022;Zhang et al., 2024). ...

Haplotype‐resolved genome assembly provides insights into the evolution of S‐locus supergene in distylous Nymphoides indica

... These results also showed that shading weakens the resistance of native plant communities to the invasion of S. canadensis with the low or medium invasion degree, which is also consistent with the second hypothesis (Ledger et al., 2015;Xiao et al., 2024). The results of the greenhouse experiment were consistent with those of the field survey, which further confirmed the hypothesis of this study and excluded the possibility of interference from human activities or other uncontrollable factors in the field survey (Wang et al., 2019b;Grange et al., 2023;Zhan et al., 2023). Therefore, based on the findings of this study, in practice, managers should prioritize monitoring and early detection efforts in shaded environments, such as forest edges, understories, and areas with limited sunlight, where S. canadensis may establish itself more easily. ...

Are the altitudinal patterns of plant diversity derived from field surveys consistent with those from empirical integrated methods?

Journal of Mountain Science

... The plant known as Dyschoristeperrottetii is a shrub that stands around half a meter tall and has branches and a square woody stem that roots at lower nodes [11]. It is virtually absent in artistic regions, while it is abundantly distributed in tropical regions and commonly found in temperate regions, it is commonly known as fiddahakukuwa, momodil, and bidi-diyan among the Hausas and Fulani communities in Nigeria. ...

Contributions to the Flora of Tropical East Africa

... For example, EIN3/EIL (Ethylene-insensitive3/EIN3-like) is a key transcription factor in the ethylene signaling pathway [13]. EIN/EIL participates in the cold-stress response of Actinidia deliciosa, and AdEIL3, AdERF1, and AdERF13 significantly enhanced the low-temperature tolerance of transgenic Arabidopsis thaliana [14]. Similarly, JA participates in the response of the tea plant (Camellia silences) to high-temperature and drought stress [15]. ...

Dissecting the effect of ethylene in the transcriptional regulation of chilling treatment in grapevine leaves
  • Citing Article
  • March 2023

Plant Physiology and Biochemistry

... Epigenetic memory, established during stress exposure and reactivated during recurrent stress, enhances survival potential in fluctuating environments (Berger et al., 2023). Several genes linked to phenotypic plasticity and regulated by epigenetic modifications were identified in the Chinese wild grapevine V. amurensis as part of its response to cold stress (Zhu et al., 2023). These include genes encoding chitinase-related proteins, G-type lectin S-receptorlike serine/threonine-protein kinases, glucosyltransferases (GTFs), peroxidases (PODs), and NAC domain transcription factors (NAM, ATAF1/2, and CUC2). ...

Genome-wide profiling of histone H3 lysine 27 trimethylation and its modification in response to chilling stress in grapevine leaves
  • Citing Article
  • March 2023

Horticultural Plant Journal