scholarly journals Comparative Transcriptome Analysis Reveals Regulatory Networks during the Maize Ear Shank Elongation Process

2021 ◽  
Vol 22 (13) ◽  
pp. 7029
Author(s):  
Cai-Yun Xiong ◽  
Qing-You Gong ◽  
Hu Pei ◽  
Chang-Jian Liao ◽  
Rui-Chun Yang ◽  
...  
Keyword(s):  
Regulatory Networks ◽  
Molecular Mechanisms ◽  
Developmental Stages ◽  
Rna Seq ◽  
Short Branch ◽  
Transcriptional Dynamics ◽  
New Varieties ◽  
Elongation Process ◽  
Temporal Expression Pattern ◽  
Maize Ear

In maize, the ear shank is a short branch that connects the ear to the stalk. The length of the ear shank mainly affects the transportation of photosynthetic products to the ear, and also influences the dehydration of the grain by adjusting the tightness of the husks. However, the molecular mechanisms of maize shank elongation have rarely been described. It has been reported that the maize ear shank length is a quantitative trait, but its genetic basis is still unclear. In this study, RNA-seq was performed to explore the transcriptional dynamics and determine the key genes involved in maize shank elongation at four different developmental stages. A total of 8145 differentially expressed genes (DEGs) were identified, including 729 transcription factors (TFs). Some important genes which participate in shank elongation were detected via function annotation and temporal expression pattern analyses, including genes related to signal transduction hormones (auxin, brassinosteroids, gibberellin, etc.), xyloglucan and xyloglucan xyloglucosyl transferase, and transcription factor families. The results provide insights into the genetic architecture of maize ear shanks and developing new varieties with ideal ear shank lengths, enabling adjustments for mechanized harvesting in the future.

scholarly journals Integrative Modelling of Gene Expression and Digital Phenotypes to Describe Senescence in Wheat

Genes ◽  
2021 ◽  
Vol 12 (6) ◽  
pp. 909
Author(s):  
Anyela Valentina Camargo Rodriguez
Keyword(s):  
Gene Expression ◽  
Regulatory Networks ◽  
Molecular Mechanisms ◽  
Developmental Stages ◽  
Computational Modelling ◽  
Plant Morphology ◽  
Reproductive Organs ◽  
Biological Trait ◽  
Cereal Grain ◽  
Plant Level

Senescence is the final stage of leaf development and is critical for plants’ fitness as nutrient relocation from leaves to reproductive organs takes place. Although senescence is key in nutrient relocation and yield determination in cereal grain production, there is limited understanding of the genetic and molecular mechanisms that control it in major staple crops such as wheat. Senescence is a highly orchestrated continuum of interacting pathways throughout the lifecycle of a plant. Levels of gene expression, morphogenesis, and phenotypic development all play key roles. Yet, most studies focus on a short window immediately after anthesis. This approach clearly leaves out key components controlling the activation, development, and modulation of the senescence pathway before anthesis, as well as during the later developmental stages, during which grain development continues. Here, a computational multiscale modelling approach integrates multi-omics developmental data to attempt to simulate senescence at the molecular and plant level. To recreate the senescence process in wheat, core principles were borrowed from Arabidopsis Thaliana, a more widely researched plant model. The resulted model describes temporal gene regulatory networks and their effect on plant morphology leading to senescence. Digital phenotypes generated from images using a phenomics platform were used to capture the dynamics of plant development. This work provides the basis for the application of computational modelling to advance understanding of the complex biological trait senescence. This supports the development of a predictive framework enabling its prediction in changing or extreme environmental conditions, with a view to targeted selection for optimal lifecycle duration for improving resilience to climate change.

scholarly journals Integration of mRNA and miRNA Analysis Reveals the Molecular Mechanism Underlying Salt and Alkali Stress Tolerance in Tobacco

2019 ◽  
Vol 20 (10) ◽  
pp. 2391 ◽  
Author(s):  
Jiayang Xu ◽  
Qiansi Chen ◽  
Pingping Liu ◽  
Wei Jia ◽  
Zheng Chen ◽  
...  
Keyword(s):  
Salinity Stress ◽  
Regulatory Networks ◽  
Molecular Mechanisms ◽  
Crop Yields ◽  
Antioxidant Activities ◽  
Expression Patterns ◽  
Differentially Expressed ◽  
Alkali Stress ◽  
Rna Seq ◽  
Alkali Tolerance

Salinity is one of the most severe forms of abiotic stress and affects crop yields worldwide. Plants respond to salinity stress via a sophisticated mechanism at the physiological, transcriptional and metabolic levels. However, the molecular regulatory networks involved in salt and alkali tolerance have not yet been elucidated. We developed an RNA-seq technique to perform mRNA and small RNA (sRNA) sequencing of plants under salt (NaCl) and alkali (NaHCO3) stress in tobacco. Overall, 8064 differentially expressed genes (DEGs) and 33 differentially expressed microRNAs (DE miRNAs) were identified in response to salt and alkali stress. A total of 1578 overlapping DEGs, which exhibit the same expression patterns and are involved in ion channel, aquaporin (AQP) and antioxidant activities, were identified. Furthermore, genes involved in several biological processes, such as “photosynthesis” and “starch and sucrose metabolism,” were specifically enriched under NaHCO3 treatment. We also identified 15 and 22 miRNAs that were differentially expressed in response to NaCl and NaHCO3, respectively. Analysis of inverse correlations between miRNAs and target mRNAs revealed 26 mRNA-miRNA interactions under NaCl treatment and 139 mRNA-miRNA interactions under NaHCO3 treatment. This study provides new insights into the molecular mechanisms underlying the response of tobacco to salinity stress.

scholarly journals Identification and characterization of ERV transcripts in goat embryos

Reproduction ◽  
2019 ◽  
pp. 115-126
Author(s):  
Ruizhi Deng ◽  
Chengquan Han ◽  
Lu Zhao ◽  
Qing Zhang ◽  
Beifen Yan ◽  
...  
Keyword(s):  
Embryonic Development ◽  
Molecular Mechanisms ◽  
Developmental Stages ◽  
Expression Patterns ◽  
Developmental Rate ◽  
Endogenous Retroviruses ◽  
Early Embryonic Development ◽  
Rna Seq ◽  
Embryonic Genome ◽  
Genome Activation

Endogenous retroviruses (ERVs), which are abundant in mammalian genomes, can modulate the expression of nearby genes, and their expression is dynamic and stage-specific during early embryonic development in mice and humans. However, the functions and mechanisms of ERV elements in regulating embryonic development remain unclear. Here, we utilized several methods to determine the contribution of ERVs to the makeup and regulation of transcripts during embryonic genome activation (EGA). We constructed an ERV library and embryo RNA-seq library (IVF_2c and IVF_8c) of goat to serve as our research basis. The GO and KEGG analysis of nearby ERV genes revealed that some ERV elements may be associated with embryonic development. RNA-seq results were consistent with the features of EGA. To obtain the transcripts derived from the ERV sequences, we blasted the ERV sequences with embryonic transcripts and identified three lncRNAs and one mRNA that were highly expressed in IVF-8c rather than in IVF-2c (q-value <0.05). Then, we validated the expression patterns of nine ERV-related transcripts during early developmental stages and knocked down three high-expression transcripts in EGA. The knockdown of lncRNA TCONS_00460156 or mRNA HSD17B11 significantly decreased the developmental rate of IVF embryos. Our findings suggested that some transcripts from ERVs are essential for the early embryonic development of goat, and analyzing the ERV expression profile during goat EGA may help elucidate the molecular mechanisms of ERV in regulating embryonic development.

scholarly journals Analysis of Transcriptome and miRNAome in the Muscle of Bamei Pigs at Different Developmental Stages

Animals ◽  
2020 ◽  
Vol 10 (7) ◽  
pp. 1198 ◽  
Author(s):  
Guofang Wu ◽  
Lin Ma ◽  
Lei Wang ◽  
Jiping Zhou ◽  
Yuhong Ma ◽  
...  
Keyword(s):  
Skeletal Muscle ◽  
Meat Quality ◽  
Molecular Mechanisms ◽  
Target Genes ◽  
Developmental Stages ◽  
Enrichment Analysis ◽  
Rna Seq ◽  
Developmental Processes ◽  
Citrate Cycle ◽  
Molecular Approaches

The growth of skeletal muscle involves complex developmental processes that play an important part in the determinization of pork quality. The investigation of skeletal muscle mRNA or miRNA profiles is especially important for finding molecular approaches to improve meat quality in pig breeding. Therefore, we studied the transcriptome (mRNA and miRNA) profiles of skeletal muscle with RNA-Seq in three developmental stages of pigs: 65-day embryonic (E65), postnatal 0 days (natal) and 10 months (adult). We found 10,035, 9050 and 4841 differentially expressed (DE) genes for natal vs. E65, adult vs. E65 and adult vs. natal, 55, 101 and 85 DE miRNA for natal vs. E65, adult vs. E65 and adult vs. natal, respectively. In addition, the target genes of DE miRNA that was in a negative correlation with the corresponding miRNA in the same comparison group were selected for enrichment analysis. Gene Ontology terms were mainly classified into developmental processes. Pathway analysis revealed enrichment in the Rap1 signaling pathway, citrate cycle and oxidative phosphorylation and carbon. Finally, RT-PCR was employed for validating the level of expression of 11 DE miRNA and 14 DEGs. The transcriptome profiles of skeletal muscle from the different developmental stages of the Bamei pigs were obtained. From these data, hundreds of DE miRNA and mRNA, and the miRNA–mRNA regulatory network can provide valuable insights into further understanding of key molecular mechanisms and improving the meat quality in pig breeding.

scholarly journals Integrating transcriptome and metabolome reveals molecular networks involved in genetic and environmental variation in tobacco

DNA Research ◽  
2020 ◽  
Vol 27 (2) ◽  
Author(s):  
Pingping Liu ◽  
Jie Luo ◽  
Qingxia Zheng ◽  
Qiansi Chen ◽  
Niu Zhai ◽  
...  
Keyword(s):  
Regulatory Networks ◽  
Molecular Mechanisms ◽  
Developmental Stages ◽  
De Novo ◽  
Developmental Process ◽  
Pearson Correlation ◽  
Molecular Networks ◽  
Environmental Perturbations ◽  
Carotenoid Metabolism ◽  
Gene Modules

Abstract Tobacco (Nicotiana tabacum) is one of the most widely cultivated commercial non-food crops with significant social and economic impacts. Here we profiled transcriptome and metabolome from 54 tobacco samples (2–3 replicates; n = 151 in total) collected from three varieties (i.e. genetic factor), three locations (i.e. environmental factor), and six developmental stages (i.e. developmental process). We identified 3,405 differentially expressed (DE) genes (DEGs) and 371 DE metabolites, respectively. We used quantitative real-time PCR to validate 20 DEGs, and confirmed 18/20 (90%) DEGs between three locations and 16/20 (80%) with the same trend across developmental stages. We then constructed nine co-expression gene modules and four co-expression metabolite modules , and defined seven de novo regulatory networks, including nicotine- and carotenoid-related regulatory networks. A novel two-way Pearson correlation approach was further proposed to integrate co-expression gene and metabolite modules to identify joint gene–metabolite relations. Finally, we further integrated DE and network results to prioritize genes by its functional importance and identified a top-ranked novel gene, LOC107773232, as a potential regulator involved in the carotenoid metabolism pathway. Thus, the results and systems-biology approaches provide a new avenue to understand the molecular mechanisms underlying complex genetic and environmental perturbations in tobacco.

scholarly journals Tissue-Specific Transcriptome Analysis Reveals Lignocellulose Synthesis Regulation in Elephant Grass (Pennisetum purpureum Schum.)

2020 ◽  
Author(s):  
Wenqing Zhang ◽  
Shengkui Zhang ◽  
Xianqin Lu ◽  
Can Li ◽  
Xingwang Liu ◽  
...  
Keyword(s):  
Cell Wall ◽  
Candidate Genes ◽  
Molecular Mechanisms ◽  
Developmental Stages ◽  
Lignin Content ◽  
Pennisetum Purpureum ◽  
Cellulose Synthesis ◽  
Elephant Grass ◽  
Rna Seq ◽  
Lignin Synthesis

Abstract Background: The characteristics of elephant grass, especially its stem lignocellulose, are of great significance for its quality as feed or other industrial raw materials. However, the research on lignocellulose biosynthesis pathway and key genes is limited because the genome of elephant grass has not been deciphered.Results: In this study, RNA sequencing (RNA-seq) combined with lignocellulose content analysis and cell wall morphology observation using elephant grass stems from different development stages as materials were applied to reveal the genes that regulate the synthesis of cellulose and lignin. A total of 3852 differentially expressed genes (DEGs) were identified in three periods of T1, T2, and T3 through RNA-seq analysis. Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis of all DEGs showed that the two most abundant metabolic pathways were phenylpropane metabolism, starch and sucrose metabolism, which were closely related to cell wall development, hemicellulose, lignin and cellulose synthesis. Through weighted gene co-expression network analysis (WGCNA) of DEGs, a ‘blue’ module highly associated with cellulose synthesis and a ‘turquoise’ module highly correlated with lignin synthesis were exhibited. A total of 43 candidate genes were screened, of which 17 had function annotations in other species. Besides, by analyzing the content of lignocellulose in the stem tissues of elephant grass at different developmental stages and the expression levels of genes such as CesA, PAL, CAD, C4H, COMT, CCoAMT, F5H and CCR, it was found that the content of lignocellulose was related to the expression level of these structural genes.Conclusions: This study provides a basis for further understanding the molecular mechanisms of cellulose and lignin synthesis pathways of elephant grass, and offers a unique and extensive list of candidate genes for future specialized functional studies which may promote the development of high-quality elephant grass varieties with high cellulose and low lignin content.

scholarly journals Tissue-Specific Transcriptome Analysis Reveals Lignocellulose Synthesis Regulation in Elephant Grass (Pennisetum purpureum Schum.)

2020 ◽  
Author(s):  
Wenqing Zhang ◽  
Shengkui Zhang ◽  
Xianqin Lu ◽  
Can Li ◽  
Xingwang Liu ◽  
...  
Keyword(s):  
Cell Wall ◽  
Candidate Genes ◽  
Molecular Mechanisms ◽  
Developmental Stages ◽  
Lignin Content ◽  
Pennisetum Purpureum ◽  
Cellulose Synthesis ◽  
Elephant Grass ◽  
Rna Seq ◽  
Lignin Synthesis

Abstract Background: The characteristics of elephant grass, especially its stem lignocellulose, are of great significance for its quality as feed or other industrial raw materials. However, the research on lignocellulose biosynthesis pathway and key genes is limited because the genome of elephant grass has not been deciphered.Results: In this study, RNA sequencing (RNA-seq) combined with lignocellulose content analysis and cell wall morphology observation using elephant grass stems from different development stages as materials were applied to reveal the genes that regulate the synthesis of cellulose and lignin. A total of 3852 differentially expressed genes (DEGs) were identified in three periods of T1, T2, and T3 through RNA-seq analysis. Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis of all DEGs showed that the two most abundant metabolic pathways were phenylpropane metabolism, starch and sucrose metabolism, which were closely related to cell wall development, hemicellulose, lignin and cellulose synthesis. Through weighted gene co-expression network analysis (WGCNA) of DEGs, a ‘blue’ module highly associated with cellulose synthesis and a ‘turquoise’ module highly correlated with lignin synthesis were exhibited. A total of 43 candidate genes were screened, of which 17 had function annotations in other species. Besides, by analyzing the content of lignocellulose in the stem tissues of elephant grass at different developmental stages and the expression levels of genes such as CesA, PAL, CAD, C4H, COMT, CCoAMT, F5H and CCR, it was found that the content of lignocellulose was related to the expression level of these structural genes.Conclusions: This study provides a basis for further understanding the molecular mechanisms of cellulose and lignin synthesis pathways of elephant grass, and offers a unique and extensive list of candidate genes for future specialized functional studies which may promote the development of high-quality elephant grass varieties with high cellulose and low lignin content.

scholarly journals Identification and characterization of circRNAs in the skin during wool follicle development in Aohan fine wool sheep

2020 ◽  
Author(s):  
Ranran Zhao ◽  
Nan Liu ◽  
Fuhui Han ◽  
Hegang Li ◽  
Jifeng Liu ◽  
...  
Keyword(s):  
Molecular Mechanisms ◽  
Developmental Stages ◽  
Future Research ◽  
Circular Rnas ◽  
Follicle Development ◽  
Rna Seq ◽  
Ampk Signaling ◽  
Competitive Endogenous Rnas ◽  
Wool Follicle ◽  
Sheep Shoulder

Abstract Background: Aohan fine wool sheep (AFWS) is a historically bred fine wool sheep, cultivated in China. The wool has excellent quality and good textile performance. Investigating the molecular mechanisms that regulate wool growth is important to improve wool quality and yield. Circular RNAs (circRNAs) are non-coding RNAs that are widely expressed, and can act as a competitive endogenous RNAs (ceRNAs) to bind to miRNAs. Although circRNAs have been studied in many fields, research on their activity in sheep wool follicles is limited. To understand the regulation of circRNAs in the growth of fine wool in sheep, we used RNA-seq to identify circRNAs in sheep shoulder skin samples at three developmental stages: embryonic day 90 (E90d), embryonic day 120 (E120d), and at birth (Birth). Results: We identified 8,753 circRNAs and found that 918 were differentially-expressed. We then analyzed the classification and characteristic of the circRNAs in sheep shoulder skin. Using Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG), we identified the source genes of circRNAs, which were mainly enriched in cellular component organization, regulation of primary metabolic processes, tight junctions, and the cGMP-PKG and AMPK signaling pathways. In addition, we predict interactions between 17 circRNAs and eight miRNAs, using miRanda software. Based on the significant pathways, we speculate that circ_0005720, circ_0001754, circ_0008036, circ_0004032, circ_0005174, circ_0005519, circ_0007826 might play an important role in regulating wool follicle growth in AFWS. Seven circRNAs were randomly selected, and have validated the results of the RNA-seq by qRT-PCR. Conclusion: Our results provide more information about circRNAs in regulating wool follicle development in AFWS, and establish a solid foundation for future research.

scholarly journals Tissue-Specific Transcriptome Analysis Reveals Lignocellulose Synthesis Regulation in Elephant Grass (Pennisetum purpureum Schum.)

2020 ◽  
Author(s):  
Wenqing Zhang ◽  
Shengkui Zhang ◽  
Xianqin Lu ◽  
Can Li ◽  
Xingwang Liu ◽  
...  
Keyword(s):  
Cell Wall ◽  
Candidate Genes ◽  
Molecular Mechanisms ◽  
Developmental Stages ◽  
Lignin Content ◽  
Pennisetum Purpureum ◽  
Cellulose Synthesis ◽  
Elephant Grass ◽  
Rna Seq ◽  
Lignin Synthesis

Abstract Background: The characteristics of elephant grass, especially its stem lignocellulose, are of great significance for its quality as feed or other industrial raw materials. However, the research on lignocellulose biosynthesis pathway and key genes is limited because the genome of elephant grass has not been deciphered.Results: In this study, RNA sequencing (RNA-seq) combined with lignocellulose content analysis and cell wall morphology observation using elephant grass stems from different development stages as materials were applied to reveal the genes that regulate the synthesis of cellulose and lignin. A total of 3852 differentially expressed genes (DEGs) were identified in three periods of T1, T2, and T3 through RNA-seq analysis. Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis of all DEGs showed that the two most abundant metabolic pathways were phenylpropane metabolism, starch and sucrose metabolism, which were closely related to cell wall development, hemicellulose, lignin and cellulose synthesis. Through weighted gene co-expression network analysis (WGCNA) of DEGs, a ‘blue’ module highly associated with cellulose synthesis and a ‘turquoise’ module highly correlated with lignin synthesis were exhibited. A total of 43 candidate genes were screened, of which 17 had function annotations in other species. Besides, by analyzing the content of lignocellulose in the stem tissues of elephant grass at different developmental stages and the expression levels of genes such as CesA, PAL, CAD, C4H, COMT, CCoAMT, F5H and CCR, it was found that the content of lignocellulose was related to the expression level of these structural genes.Conclusions: This study provides a basis for further understanding the molecular mechanisms of cellulose and lignin synthesis pathways of elephant grass, and offers a unique and extensive list of candidate genes for future specialized functional studies which may promote the development of high-quality elephant grass varieties with high cellulose and low lignin content.

scholarly journals Comparative RNA-Seq Analysis of High- and Low-Oil Yellow Horn During Embryonic Development

2018 ◽  
Vol 19 (10) ◽  
pp. 3071 ◽  
Author(s):  
Li Wang ◽  
Chengjiang Ruan ◽  
Lingyue Liu ◽  
Wei Du ◽  
Aomin Bao
Keyword(s):  
Molecular Mechanisms ◽  
Developmental Stages ◽  
Acyl Carrier Protein ◽  
Expression Profiles ◽  
Gene Expression Profiles ◽  
Enrichment Analysis ◽  
Differentially Expressed ◽  
Rna Seq ◽  
Oil Accumulation ◽  
Carboxylase Activity

Yellow horn (Xanthoceras sorbifolium Bunge) is an endemic oil-rich shrub that has been widely cultivated in northern China for bioactive oil production. However, little is known regarding the molecular mechanisms that contribute to oil content in yellow horn. Herein, we measured the oil contents of high- and low-oil yellow horn embryo tissues at four developmental stages and investigated the global gene expression profiles through RNA-seq. The results found that at 40, 54, 68, and 81 days after anthesis, a total of 762, 664, 599, and 124 genes, respectively, were significantly differentially expressed between the high- and low-oil lines. Gene ontology (GO) enrichment analysis revealed some critical GO terms related to oil accumulation, including acyl-[acyl-carrier-protein] desaturase activity, pyruvate kinase activity, acetyl-CoA carboxylase activity, and seed oil body biogenesis. The identified differentially expressed genes also included several transcription factors, such as, AP2-EREBP family members, B3 domain proteins and C2C2-Dof proteins. Several genes involved in fatty acid (FA) biosynthesis, glycolysis/gluconeogenesis, and pyruvate metabolism were also up-regulated in the high-oil line at different developmental stages. Our findings indicate that the higher oil accumulation in high-oil yellow horn could be mostly driven by increased FA biosynthesis and carbon supply, i.e. a source effect.

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