Lan Yun’s research while affiliated with Inner Mongolia Agricultural University and other places

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Publications (12)


Seed shattering (SS) status of two Psathrostachys juncea genotypes is shown. In Figures a and b, the left side represents L (low-SS Psathrostachys juncea), and the right side represents H (high-SS Psathrostachys juncea). c. Numbers 7, 14, 21, and 28 indicate days after heading. *** indicates P < 0.001, and the error bars represent the mean ± standard deviation. The significance analysis in Fig. 1c compares the differences between H and L at developmental stages
Histological analysis of the abscission zone (AZ). Structural components of the spikelet axis (a) and the location of the AZ in the tissue (b, c). Figure b shows longitudinal sections of the AZ in H and L (200 µm), stained with safranin-fast green. Figure c presents scanning electron micrographs of the fractured AZ surface. Arrows indicate the position of the abscission layer. H represents high-SS Psathrostachys juncea. L represents low-SS Psathrostachys juncea. Numbers 7, 14, 21, and 28 indicate days after heading
Enzyme and plant hormone measurements in the abscission zone of two Psathrostachys juncea genotypes. a The lignin content of Psathrostachys juncea at different developmental stages. b The activity of cell wall hydrolase in Psathrostachys juncea at different developmental stages. c The plant hormone contents in Psathrostachys juncea at different developmental stages. CE is cellulase, PG is polygalacturonase, ABA is abscisic acid, ZA is trans-zeatin, IAA is auxin, and GA3 is gibberellin. Numbers 7, 14, 21, and 28 indicate days after heading. * indicates P < 0.05, ** indicates P < 0.01, *** indicates P < 0.001. Error bars represent the mean ± standard deviation. The significance analysis in Fig. 3 compares the differences between H and L at different developmental stages
KEGG enrichment analysis of different genotypes of Psathrostachys juncea. Red markers indicate the pathways of interest. a KEGG enrichment bubble plot of differentially expressed genes between H7 and L7. b KEGG enrichment bubble plot of differentially expressed genes between H14 and L14. c KEGG enrichment bubble plot of differentially expressed genes between H21 and L21. d KEGG enrichment bubble plot of differentially expressed genes between H28 and L28
Identification of DEGs by WGCNA. a A hierarchical cluster tree was generated to identify co-expression modules through WGCNA. SHT is seed shattering rate. Each leaf represents a single gene. The tree consists of 28 modules, each represented by a different color. Red indicates upregulated genes, while green indicates downregulated genes. b Heat map of the correlation between modules and different indices. Each row represents a module, and each column represents an index. Red cells indicate positive correlations, and blue cells indicate negative correlations. The number at the top of each cell represents the correlation coefficient, and the number in parentheses represents the p-value. c Scatter plot showing the correlation between each gene (dots) within a module and phenotypic data. A stronger correlation between the module and the phenotype, as indicated by lower p-values, suggests more reliable results. d. KEGG enrichment analysis of the black module

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Exploring the mechanism of seed shattering in Psathyrostachys juncea through histological analysis and comparative transcriptomics
  • Article
  • Full-text available

December 2024

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10 Reads

BMC Plant Biology

Yuru Lv

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Lan Yun

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Miaomiao Jia

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[...]

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Zhiqiang Zhang

Background Seed shattering (SS) negatively impacts seed yield in Psathyrostachys juncea. Understanding and improving the SS trait requires elucidating the regulatory mechanisms of SS and identifying the key genes involved. Results This study presents a comprehensive analysis of the abscission zone (AZ) structures at four developmental stages in two P. juncea genotypes. High-SS P. juncea (H) exhibited a significantly higher SS rate than low-SS P. juncea (L) at all four developmental stages. Anatomical analysis revealed that the degree of lignification in the AZ cell walls is related to the integrity of the abscission structure. The degradation of the AZ in H occurred earlier and was more severe compared to L. At different developmental stages of the AZ, H exhibited higher cellulase and polygalacturonase activities and higher abscisic acid contents compared to L. Conversely, L showed higher lignin, cytokinin, auxin, and gibberellin contents than H. Transcriptomic analysis identified key metabolic pathways related to SS in P. juncea, such as phenylpropanoid biosynthesis, fructose and mannose metabolism, galactose metabolism, and pentose and glucuronate interconversions. The integration of morphological, histological, physiochemical, and metabolic data led to the identification of critical genes, including AUX1, CKX, ABF, GH3, 4CL, CCoAOMT, BGAL, Gal, and PG. The roles of these genes were involved in the regulation of plant hormones and in the synthesis and degradation of cell walls within the AZ. Conclusions This study provides an in-depth understanding of the regulatory mechanisms of SS in P. juncea through comparative transcriptomic analysis. The SS in P. juncea may result from the degradation of the cell wall regulated by cell wall hydrolases genes. The genes identified in this study provide a basis for the genetic improvement of SS traits and serve as a reference for research on other grass species.

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Figure 5. Profile trend chart derived from STEM analysis. Each line represents a gene.
Figure 6. Cont.
Figure 10. Expression of seed shattering unigenes in P. juncea quantified by RNA-Seq and qRT-PCR analysis. White bars represent changes in transcript abundance based on FPKM values from transcriptome sequencing (left y-axis). Lines indicate relative expression levels measured by qRT-PCR (right y-axis). Error bars represent the mean ± standard deviation. BG: β-glucosidase. EG: endoglucanase. FRK: fructokinase. HK: hexokinase. INV: β-fructofuranosidase. MADS-box: MADS-box transcription factor. POD: peroxidase. PXG: peroxygenase. SPS: phosphate synthase. SUS: sucrose synthase.
Transcriptome Analysis of the Seed Shattering Mechanism in Psathyrostachys juncea Using Full-Length Transcriptome Sequencing

December 2024

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2 Reads

Seed shattering (SS) functions are a survival mechanism in plants, enabling them to withstand adverse environmental conditions and ensure reproduction. However, this trait limits seed yield. Psathyrostachys juncea, a perennial forage grass with many favorable traits, is constrained by SS, limiting its broader application. To investigate the mechanisms underlying SS, second-generation Illumina sequencing and third-generation PacBio sequencing were conducted on abscission zone tissues of P. juncea at 7, 14, 21, and 28 days after heading. GO enrichment analysis identified several significant biological processes, including the “cell wall macromolecule catabolic process”, “cell wall polysaccharide catabolic process”, “hemicellulose catabolic process”, and “xylan catabolic process”, all involved in cell wall degradation. KEGG enrichment analysis showed that differentially expressed genes were predominantly enriched in pathways related to “starch and sucrose metabolism”, “fructose and mannose metabolism”, “phenylpropanoid biosynthesis”, “pentose and glucuronate interconversions”, and “galactose metabolism”, each linked to both the synthesis and degradation of the cell wall. Further analysis of the “starch and sucrose metabolism” pathway revealed genes encoding fructokinase, hexokinase, β-glucosidase, sucrose phosphate synthase, sucrose synthase, and endoglucanase, all of which affected cellulose content. Reduced cellulose content can alter cell wall structure, leading to SS. These findings provide new insights into the regulation of SS in P. juncea and offer valuable references for other species within the Poaceae family.


Construction of a high-density genetic map using specific-locus amplified fragment sequencing and quantitative trait loci analysis for tillering related traits in Psathyrostachys juncea perennial grass

November 2024

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4 Reads

Background Russian wildrye (RWR, Psathyrostachys juncea ) is an outcrossing perennial grass that plays a crucial role in foragaing and rangeland restoration due to its tiller producing capabilities, nevertheless, a genetic map has yet to be constructed due to a shortage of efficient and reliable molecular markers. This also limits the identification, localization, and cloning of economically important traits related to tiller density during breeding. Methods Therefore, this study aimed to create a F 1 mapping population with 147 individual lines and their two parents, which were selected based on varying tiller densities. We then used this mapping population to conduct specific-locus amplified fragment sequencing (SLAF-seq) to generate SLAF markers and discover single nucleotide polymorphisms (SNPs). Results Initially, we generated a total of 1,438.38 million pair-end reads with an average sequencing depth of 84.92 in the maternal line, 79.34 in the parental line, and 27.05 in each F 1 individual line, respectively. Following the filtering of low-depth SLAF tags, a total of 558,344 high-quality SLAFs were identified. A total of 1,519,903 SNP markers were obtained, and 62,424 polymorphic SNPs were discovered. From these, 4,644 polymorphic SNPs were selected and used for the construction of a genetic map encompassing seven linkage groups. The genetic map spanned 1,416.60 cM with an average distance of 0.31 cM between adjacent markers. Comparative analysis between the seven linkage groups of RWR SLAF tag and the whole-genome sequences in barley ( Hordeum vulgare L.) revealed homology values ranging from 17.5% to 34.6%, and the collinearity between the RWR linkage groups and the barley homology groups ranged from 0.6787 to 0.9234, with an average value of 0.8158. Additionally, 143 significant quantitative trait locus (QTLs) with Logarithm of Odds (LOD) value greater than 2.5 for five tiller related traits were detected using three consecutive years of phenotypic trait data from the F1 population, further verifying the map’s reliability.



The Psathyrostachys juncea DWARF27 gene encodes an all-trans-/9-cis-beta-carotene isomerase in the control of plant branches in Arabidopsis thaliana by strigolactones

July 2024

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4 Reads

G3 Genes Genomes Genetics

Strigolactones(SLs), carotenoid-derived plant hormones, govern the growth and development of both monocotyledonous and dicotyledonous plants. DWARF27 (D27), a plastid-targeted protein located at the initiation site of the core pathway in SL synthesis, plays a crucial role in regulating plant tillering (branching). In rice (Oryza sativa) and wheat (Triticum aestivum), OsD27 and TaD27-B proteins modulate the number of plant tillers by participating in SL biosynthesis. Similarly, AtD27 in Arabidopsis thaliana is required for SL production and has a significant impact on phenotypic changes related to branching. At the same time, TaD27 in wheat has been confirmed as a functional ortholog of AtD27 in Arabidopsis, and both P. juncea and wheat belong to the Triticeae, so we speculate that PjD27 gene may also have the same function as AtD27 in Arabidopsis. In this study, we initially screened the PjD27 gene significantly associated with tillering regulation through transcriptome data analysis and subsequently validated its expression levels using qRT-PCR analysis. Furthermore, we conducted phylogenetic analysis using amino acid sequences from 41 species, including P. juncea, to identify closely related species of P. juncea. Here, we analyze the conservation of D27 protein among P. juncea, rice, wheat, and Arabidopsis and provide preliminary evidence suggesting that PjD27 protein is an ortholog of D27 protein in Arabidopsis. Through reverse genetics, we demonstrate the crucial role of PjD27 in regulating plant branching, establishing it as a functional ortholog of D27 in Arabidopsis. Furthermore, following transient expression in tobacco (Nicotiana tabacum), we demonstrate that the subcellular location of the PjD27 protein is consistent with the cellular location of TaD27-B in wheat. Quantitative analysis of SLs shows that PjD27 is a key gene regulating tillering (branching) by participating in SLs biosynthesis. By elucidating the function of the PjD27 gene, our findings provide valuable genetic resources for new germplasm creation and improving grain yield in P. juncea.


Association Analysis of Tiller-Related Traits with EST-SSR Markers in Psathyrostachys juncea

October 2023

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34 Reads

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3 Citations

Psathyrostachys juncea is a long-lived perennial Gramineae grass with dense basal tillers and soft leaves. It is used widely in cold and dry areas of Eurasia and North America to establish grazing pasture and is even used as an ideal plant for revegetation and ecological restoration. Plant architecture, especially tillering traits, is critical for bunch grasses in breeding programs, and these traits in plants are mostly quantitative traits. In this study, the genetic diversity, population structure, and linkage disequilibrium of 480 individual lines were analyzed using 127 pairs of the EST-SSR marker, and a significant association between ten plant-architecture-related traits of P. juncea and molecular markers was found. The results of the genetic diversity analysis showed that the number of observed alleles was 1.957, the number of effective alleles was 1.682, Shannon’s information index was 0.554, observed heterozygosity was 0.353, expected heterozygosity was 0.379, and the polymorphism information content was 0.300. A total of 480 individual lines were clustered into five groups based on population genetic structure, principal coordinate analysis, and unweighted pair group method with arithmetic mean analysis (UPGMA). The linkage disequilibrium coefficient (r²) was between 0.00 and 0.68, with an average of 0.04, which indicated a relatively low level of linkage disequilibrium among loci. The results of the association analysis revealed 55 significant marker–trait associations (MTA). Moreover, nine SSR markers were associated with multiple traits. This study provides tools with promising applications in the molecular selection and breeding of P. juncea germplasm.



Hybrid purity identification using EST-SSR markers and heterosis analysis of quantitative traits of Russian wildrye

November 2022

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31 Reads

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7 Citations

Russian wildrye, Psathyrostachys junceus (Fisch.) Nevski, is widely distributed in the high latitude areas of Eurasia. It plays an important role in grassland ecosystem maintenance, as well as being a valuable palatable forage species for livestock and wildlife. Russian wildrye germplasm has rich phenotypic and genetic diversity and has potential for improvement through crossbreeding. In this study, fifteen Russian wildrye hybrid combinations were produced and one F1 population with 123 putative hybrids was obtained by crossing two individual plants with significant differences in nutritional characteristics and reproductive tiller number. Twelve phenotypic traits of the F1 population were measured for three consecutive years, and ten of the twelve traits were in line with the genetic characteristics of quantitative traits. Hybrid superiority was revealed among F1 hybrids in both nutritional and reproductive traits. One non-recurrent parent plant with the highest PCA-synthesis score was selected and used to make a backcross with the ‘BOZOISKY SELECT’ male parent, and 143 putative BC1 hybrids were obtained. Sixteen pairs of EST-SSR primers were randomly selected from polymorphic primers derived from different expressed tiller trait related genes. Three primer pairs that amplified both the paternal and maternal characteristic band were used to assess the purity of the F1 population, and three primer pairs (with one shared primer pair) were used to identify the BC1 population. The hybrid purity was 96.75% for the F1 population and 95.80% for the BC1 population, and the results were confirmed by self-fertility test through bagging isolation. The genetic similarity coefficients between the F1 progeny and the male parent ranged from 0.500 to 0.895, and those between the BC1 progeny and the male parent ranged from 0.667 to 0.939. A subset of individuals in the BC1 population had closer genetic distance to the recurrent parent, and genetic variation within the BC1 population decreased compared to the F1 population.


Analysis of controlling genes for tiller growth of Psathyrostachys juncea based on transcriptome sequencing technology

September 2022

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48 Reads

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14 Citations

BMC Plant Biology

Background Tillering is a complicated process in plant and is a significant trait that affects biomass and seed yield of bunch grass Psathyrostachys juncea, a typical perennial forage species. To clarify the regulatory mechanisms of tillering in P. juncea and to explore related candidate genes could be helpful to improve the seed and forage yield of perennial gramineous forages. We selected the tiller node tissues of P. juncea for transcriptome sequencing to determine the differentially expressed genes (DEG) between dense and sparse tillering genotypes. The metabolic pathway was studied, candidate genes were screened, and reference genes stability were evaluated. Results The results showed that approximately 5466 DEGs were identified between the two genotypes with dense and sparse tillers of P. juncea, which significantly differed in tiller number. Tillering regulation pathways analysis suggested that DEGs closely related to the biosynthesis of three plant hormones, namely auxin (IAA), cytokinin (CTK), and strigolactones (SLs), while “biosynthesis of lignin” and “nitrogen metabolism” have remarkable differences between the dense and sparse tillering genotypes. Meanwhile, the reference gene Actin1, having the best stability, was screened from twelve genes with highest expression level and was used in verification of ten tillering related candidate genes. Conclusions The tillering mechanism of perennial grass P. juncea was expounded by transcriptome analysis of tiller node tissues. We demonstrated that dense-tillering genotypes may be distinguished by their low expression patterns of genes involved in SL, IAA, and high expression patterns of genes involved in CTK biosynthesis at the tillering stage, and nitrogen metabolism and lignin biosynthesis can also affect the number of tillers. Furthermore, the expression level of ten tillering related candidate genes were verified using Actin1 as reference gene. These candidate genes provide valuable breeding resources for marker assisted selection and yield traits improvement of P. juncea.


EST-SSR Primer Development and Genetic Structure Analysis of Psathyrostachys juncea Nevski

February 2022

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56 Reads

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9 Citations

Psathyrostachys juncea is a perennial forage grass which plays an important role in soil and water conservation and ecological maintenance in cold and dry areas of temperate regions. In P. juncea, a variety of biotic and abiotic stress related genes have been used in crop improvement, indicating its agronomic, economic, forage, and breeding value. To date, there have been few studies on the genetic structure of P. juncea. Here, the genetic diversity and population structure of P. juncea were analyzed by EST-SSR molecular markers to evaluate the genetic differentiation related to tillering traits in P. juncea germplasm resources. The results showed that 400 simple sequence repeat (SSR) loci were detected in 2,020 differentially expressed tillering related genes. A total of 344 scored bands were amplified using 103 primer pairs, out of which 308 (89.53%) were polymorphic. The Nei’s gene diversity of 480 individuals was between 0.092 and 0.449, and the genetic similarity coefficient was between 0.5008 and 0.9111, with an average of 0.6618. Analysis of molecular variance analysis showed that 93% of the variance was due to differences within the population, and the remaining 7% was due to differences among populations. Psathyrostachys juncea materials were clustered into five groups based on population genetic structure, principal coordinate analysis and unweighted pair-group method with arithmetic means (UPGMA) analysis. The results were similar between clustering methods, but a few individual plants were distributed differently by the three models. The clustering results, gene diversity and genetic similarity coefficients showed that the overall genetic relationship of P. juncea individuals was relatively close. A Mantel test, UPGMA and structural analysis also showed a significant correlation between genetic relationship and geographical distribution. These results provide references for future breeding programs, genetic improvement and core germplasm collection of P. juncea.


Citations (6)


... Cluster analysis based on the unweighted pair group method with arithmetic mean (UPGMA) was performed using DARwin 6.0.21 software (Wegadara et al. 2022). The associations between the markers and agronomic traits and GABA content were analyzed based on the methods of Li et al. (2023). The polymorphic information content, major allele frequency, number of polymorphic alleles, gene diversity, and heterozygosity of each SSR marker were analyzed using PowerMarker 3.25 software (Li et al. 2023). ...

Reference:

Genetic diversity of Indonesian rice and association of simple sequence repeat (SSR) markers with agronomic traits and gamma-aminobutyric acid content
Association Analysis of Tiller-Related Traits with EST-SSR Markers in Psathyrostachys juncea

... The number of hybrid offspring identified by Jr29 was the highest, accounting for 53.33% (Table 8). These were significantly lower than the research results of Gao et al. 34 and Yang et al. 35 . In addition, new genotypes of nonmaternal genotypes (Tables 5 and 8) appeared in the F1 offspring, which might be from the paternal parent of the F1 offspring or due to the occurrence of site mutations in the F1 offspring. ...

Hybrid purity identification using EST-SSR markers and heterosis analysis of quantitative traits of Russian wildrye

... Similar results were reported in the dense tillering bunch grass where photosynthesis and carbohydrate metabolism were the most enriched pathways, with significantly upregulated genes . High photosynthetic efficiency may contribute to faster accumulation of organic acids and coordinate carbon metabolism required for faster growth and new organ development (Nunes-Nesi et al. 2010;Li et al. 2022). C-type lectin receptor signaling includes calcium-dependent carbohydrate binding proteins involved in plant growth and morphogenesis (Lee et al. 2003). ...

Analysis of controlling genes for tiller growth of Psathyrostachys juncea based on transcriptome sequencing technology

BMC Plant Biology

... The genetic structure analysis of both T. alberti and T. greigii populations revealed a moderate level of genetic differentiation among the sampled populations, with an optimal K value of 3, indicating the presence of three distinct genetic clusters within each species. The consistent results from Bayesian STRUCTURE analysis, UPGMA clustering, and PCoA provide robust evidence for genetic subdivision within these species, corroborating findings from studies on other species [51][52][53]. Various genetic diversity parameters (Ne, I, h, and %P) revealed that a population of T. greigii (population 1) collected in the mountainous areas of the Karatau ridge, located in northwestern Tian Shan in Kazakhstan, exhibited the highest levels of genetic diversity (Table 2). Consequently, the Karatau can be accepted as one of the centers of genetic diversity for T. greigii. ...

EST-SSR Primer Development and Genetic Structure Analysis of Psathyrostachys juncea Nevski

... When combined with global warming, drought stress is likely to display a crucial effect to the environment, which also leads to other abiotic stresses [1]. The physiological acclimation of single plant may buffer the influence of drought; hence, it is vital to further improve the drought adaptation of plants [2]. ...

Utilization of Transcriptome, Small RNA, and Degradome Sequencing to Provide Insights Into Drought Stress and Rewatering Treatment in Medicago ruthenica

... These proteases downregulate serine protease and cysteine proteinase activity, respectively [62,63]. The upregulation of different proteases is a response to various stressors, such as drought, herbivory and heavy metal toxicity [63][64][65][66][67]. Excess nickel can cause overproduction of ROS, which can damage proteins and cause misfolding, resulting in an increase in protease activity [68,69]. ...

Transcriptomic and Proteomic Analyses of Drought Responsive Genes and Proteins in Agropyron mongolicum Keng

Current Plant Biology