scholarly journals Transcriptome Analysis of Ginkgo biloba L. Leaves across Late Developmental Stages Based on RNA-Seq and Co-Expression Network

Forests ◽  
2021 ◽  
Vol 12 (3) ◽  
pp. 315
Author(s):  
Hailin Liu ◽  
Xin Han ◽  
Jue Ruan ◽  
Lian Xu ◽  
Bing He
Keyword(s):  
Ginkgo Biloba ◽  
Leaf Development ◽  
Developmental Stages ◽  
Leaf Growth ◽  
Rna Seq ◽  
Final Size ◽  
Dioecious Species ◽  
Related Factors ◽  
New Genes ◽  
Gene Modules

The final size of plant leaves is strictly controlled by environmental and genetic factors, which coordinate cell expansion and cell cycle activity in space and time; however, the regulatory mechanisms of leaf growth are still poorly understood. Ginkgo biloba is a dioecious species native to China with medicinally and phylogenetically important characteristics, and its fan-shaped leaves are unique in gymnosperms, while the mechanism of G. biloba leaf development remains unclear. In this study we studied the transcriptome of G. biloba leaves at three developmental stages using high-throughput RNA-seq technology. Approximately 4167 differentially expressed genes (DEGs) were obtained, and a total of 12,137 genes were structure optimized together with 732 new genes identified. More than 50 growth-related factors and gene modules were identified based on DEG and Weighted Gene Co-expression Network Analysis. These results could remarkably expand the existing transcriptome resources of G. biloba, and provide references for subsequent analysis of ginkgo leaf development.

Geranyl Acetate Esterase Controls and Regulates the Level of Geraniol in Lemongrass (Cymbopogon flexuosus Nees ex Steud.) Mutant cv. GRL-1 Leaves

2009 ◽  
Vol 64 (3-4) ◽  
pp. 251-259 ◽  
Author(s):  
Deepak Ganjewala ◽  
Rajesh Luthra
Keyword(s):  
Essential Oil ◽  
Leaf Development ◽  
Developmental Stages ◽  
Leaf Growth ◽  
Growth Period ◽  
Geranyl Acetate ◽  
Geranyl Diphosphate ◽  
Leaf Emergence ◽  
Development Cycle ◽  
Acetate Esterase

Essential oil isolated from lemongrass (Cymbopogon fl exuosus) mutant cv. GRL-1 leaves is mainly composed of geraniol (G) and geranyl acetate (GA). The proportion of G and GA markedly fluctuates during leaf development. The proportions of GA and G in the essential oil recorded at day 10 after leaf emergence were ~59% and ~33% respectively. However, the level of GA went down from ~59 to ~3% whereas the level of G rose from ~33 to ~91% during the leaf growth period from day 10 to day 50. However, the decline in the level of GA was most pronounced in the early (day 10 to day 30) stage of leaf growth. The trend of changes in the proportion of GA and G has clearly indicated the role of an esterase that must be involved in the conversion of GA to G during leaf development. We isolated an esterase from leaves of different ages that converts GA into G and has been given the name geranyl acetate esterase (GAE). The GAE activity markedly varied during the leaf development cycle; it was closely correlated with the monoterpene (GA and G) composition throughout leaf development. GAE appeared as several isoenzymes but only three (GAE-I, GAE-II, and GAE-III) of them had significant GA cleaving activity. The GAE isoenzymes pattern was greatly influenced by the leaf developmental stages and so their GA cleaving activities. Like the GAE activity, GAE isoenzyme patterns were also found to be consistent with the monoterpene (GA and G) composition. GAE had an optimum pH at 8.5 and temperature at 30 °C. Besides GAE, a compound with phosphatase activity capable of hydrolyzing geranyl diphosphate (GPP) to produce geraniol has also been isolated.

scholarly journals Reannotation of the cultivated strawberry genome and establishment of a strawberry genome database

2021 ◽  
Vol 8 (1) ◽  
Author(s):  
Tianjia Liu ◽  
Muzi Li ◽  
Zhongchi Liu ◽  
Xiaoyan Ai ◽  
Yongping Li
Keyword(s):  
Developmental Stages ◽  
Expression Profiles ◽  
Hybrid Origin ◽  
Rna Seq ◽  
Crop Species ◽  
Genome Database ◽  
Functional Studies ◽  
New Genes ◽  
Alternatively Spliced ◽  
Current Annotation

AbstractCultivated strawberry (Fragaria × ananassa) is an important fruit crop species whose fruits are enjoyed by many worldwide. An octoploid of hybrid origin, the complex genome of this species was recently sequenced, serving as a key reference genome for cultivated strawberry and related species of the Rosaceae family. The current annotation of the F. ananassa genome mainly relies on ab initio predictions and, to a lesser extent, transcriptome data. Here, we present the structure and functional reannotation of the F. ananassa genome based on one PacBio full-length RNA library and ninety-two Illumina RNA-Seq libraries. This improved annotation of the F. ananassa genome, v1.0.a2, comprises a total of 108,447 gene models, with 97.85% complete BUSCOs. The models of 19,174 genes were modified, 360 new genes were identified, and 11,044 genes were found to have alternatively spliced isoforms. Additionally, we constructed a strawberry genome database (SGD) for strawberry gene homolog searching and annotation downloading. Finally, the transcriptome of the receptacles and achenes of F. ananassa at four developmental stages were reanalyzed and qualified, and the expression profiles of all the genes in this annotation are also provided. Together, this study provides an updated annotation of the F. ananassa genome, which will facilitate genomic analyses across the Rosaceae family and gene functional studies in cultivated strawberry.

scholarly journals Characterization of full-length transcriptome in Saccharum officinarum and molecular insights into tiller development

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Haifeng Yan ◽  
Huiwen Zhou ◽  
Hanmin Luo ◽  
Yegeng Fan ◽  
Zhongfeng Zhou ◽  
...  
Keyword(s):  
Carbon Fixation ◽  
Developmental Stages ◽  
Genomic Data ◽  
Saccharum Officinarum ◽  
Full Length ◽  
Rna Seq ◽  
Pyruvate Phosphate Dikinase ◽  
Sugarcane Yield ◽  
Tiller Bud

Abstract Background Although extensive breeding efforts are ongoing in sugarcane (Saccharum officinarum L.), the average yield is far below the theoretical potential. Tillering is an important component of sugarcane yield, however, the molecular mechanism underlying tiller development is still elusive. The limited genomic data in sugarcane, particularly due to its complex and large genome, has hindered in-depth molecular studies. Results Herein, we generated full-length (FL) transcriptome from developing leaf and tiller bud samples based on PacBio Iso-Seq. In addition, we performed RNA-seq from tiller bud samples at three developmental stages (T0, T1 and T2) to uncover key genes and biological pathways involved in sugarcane tiller development. In total, 30,360 and 20,088 high-quality non-redundant isoforms were identified in leaf and tiller bud samples, respectively, representing 41,109 unique isoforms in sugarcane. Likewise, we identified 1063 and 1037 alternative splicing events identified in leaf and tiller bud samples, respectively. We predicted the presence of coding sequence for 40,343 isoforms, 98% of which was successfully annotated. Comparison with previous FL transcriptomes in sugarcane revealed 2963 unreported isoforms. In addition, we characterized 14,946 SSRs from 11,700 transcripts and 310 lncRNAs. By integrating RNA-seq with the FL transcriptome, 468 and 57 differentially expressed genes (DEG) were identified in T1vsT0 and T2vsT0, respectively. Strong up-regulation of several pyruvate phosphate dikinase and phosphoenolpyruvate carboxylase genes suggests enhanced carbon fixation and protein synthesis to facilitate tiller growth. Similarly, up-regulation of linoleate 9S-lipoxygenase and lipoxygenase genes in the linoleic acid metabolism pathway suggests high synthesis of key oxylipins involved in tiller growth and development. Conclusions Collectively, we have enriched the genomic data available in sugarcane and provided candidate genes for manipulating tiller formation and development, towards productivity enhancement in sugarcane.

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 Phased Control of Expansin Activity during Leaf Development Identifies a Sensitivity Window for Expansin-Mediated Induction of Leaf Growth

2009 ◽  
Vol 151 (4) ◽  
pp. 1844-1854 ◽  
Author(s):  
Jennifer Sloan ◽  
Andreas Backhaus ◽  
Robert Malinowski ◽  
Simon McQueen-Mason ◽  
Andrew J. Fleming
Keyword(s):  
Leaf Development ◽  
Leaf Growth

scholarly journals Maximizing prediction of orphan genes in assembled genomes

2019 ◽  
Author(s):  
Arun Seetharam ◽  
Urminder Singh ◽  
Jing Li ◽  
Priyanka Bhandary ◽  
Zeb Arendsee ◽  
...  
Keyword(s):  
Sequence Homology ◽  
Evolutionary History ◽  
Direct Evidence ◽  
Gene Annotation ◽  
Rna Seq ◽  
Orphan Genes ◽  
Orphan Gene ◽  
New Genes ◽  
Conserved Genes ◽  
Rapid Emergence

ABSTRACTThe evolutionary rapid emergence of new genes gives rise to “orphan genes” that share no sequence homology to genes in closely related genomes. These genes provide organisms with a reservoir of genetic elements to quickly respond to changing selection pressures. Gene annotation pipelines that combine ab initio machine-learning with sequence homology-based searches are efficient in identifying basal genes with a long evolutionary history. However, their ability to identify orphan genes and other young genes has not been systematically evaluated. Here, we classify the phylostrata of curated Arabidopsis thaliana genes and use these to assess the ability of two of the most prevalent annotation pipelines, MAKER and BRAKER, to predict orphans and other young genes. MAKER predictions are highly dependent on the RNA-Seq evidence, predicting between 11% and 60% of the orphan-genes and 95% to 98% of basal-genes in the annotated genome of Arabidopsis. In contrast, BRAKER consistently predicts 33% of orphan-genes and 98% of basal-genes. A less used method to identify genes is by directly aligning RNA-Seq data to the genome sequence. We present a Findable, Accessible, Interoperable and Reusable (FAIR) approach, called BIND, that mitigates the under-prediction of orphan genes. BIND combines BRAKER predictions with direct evidence-based inference of transcripts based on RNA-Seq alignments to the genome. BIND increases the number and accuracy of orphan gene predictions, identifying 68% of Araport11-annotated orphan genes and 99% of the conserved genes.

scholarly journals Genomic Analysis of the Glutathione S-Transferase Family in Pear (Pyrus communis) and Functional Identification of PcGST57 in Anthocyanin Accumulation

2022 ◽  
Vol 23 (2) ◽  
pp. 746
Author(s):  
Bo Li ◽  
Xiangzhan Zhang ◽  
Ruiwei Duan ◽  
Chunhong Han ◽  
Jian Yang ◽  
...  
Keyword(s):  
Phylogenetic Analysis ◽  
Developmental Stages ◽  
Genomic Analysis ◽  
Pyrus Communis ◽  
Anthocyanin Content ◽  
Anthocyanin Accumulation ◽  
Rna Seq ◽  
Virus Induced Gene Silencing ◽  
Functional Identification ◽  
Glutathione S Transferase

Anthocyanin accumulation in vacuoles results in red coloration in pear peels. Glutathione S-transferase (GST) proteins have emerged as important regulators of anthocyanin accumulation. Here, a total of 57 PcGST genes were identified in the European pear ‘Bartlett’ (Pyrus communis) through comprehensive genomic analysis. Phylogenetic analysis showed that PcGST genes were divided into 10 subfamilies. The gene structure, chromosomal localization, collinearity relationship, cis-elements in the promoter region, and conserved motifs of PcGST genes were analyzed. Further research indicated that glutamic acid (Glu) can significantly improve anthocyanin accumulation in pear peels. RNA sequencing (RNA-seq) analysis showed that Glu induced the expression of most PcGST genes, among which PcGST57 was most significantly induced. Further phylogenetic analysis indicated that PcGST57 was closely related to GST genes identified in other species, which were involved in anthocyanin accumulation. Transcript analysis indicated that PcGST57 was expressed in various tissues, other than flesh, and associated with peel coloration at different developmental stages. Silencing of PcGST57 by virus-induced gene silencing (VIGS) inhibited the expression of PcGST57 and reduced the anthocyanin content in pear fruit. In contrast, overexpression of PcGST57 improved anthocyanin accumulation. Collectively, our results demonstrated that PcGST57 was involved in anthocyanin accumulation in pear and provided candidate genes for red pear breeding.

scholarly journals FoxP2 isoforms delineate spatiotemporal transcriptional networks for vocal learning in the zebra finch

eLife ◽  
2018 ◽  
Vol 7 ◽  
Author(s):  
Zachary Daniel Burkett ◽  
Nancy F Day ◽  
Todd Haswell Kimball ◽  
Caitlin M Aamodt ◽  
Jonathan B Heston ◽  
...  
Keyword(s):  
Vocal Learning ◽  
Transcriptional Networks ◽  
Zebra Finches ◽  
Rna Seq ◽  
Song Development ◽  
Gene Modules ◽  
Area X ◽  
First Time ◽  
Vocal Variability ◽  
Coexpression Network Analysis

Human speech is one of the few examples of vocal learning among mammals yet ~half of avian species exhibit this ability. Its neurogenetic basis is largely unknown beyond a shared requirement for FoxP2 in both humans and zebra finches. We manipulated FoxP2 isoforms in Area X, a song-specific region of the avian striatopallidum analogous to human anterior striatum, during a critical period for song development. We delineate, for the first time, unique contributions of each isoform to vocal learning. Weighted gene coexpression network analysis of RNA-seq data revealed gene modules correlated to singing, learning, or vocal variability. Coexpression related to singing was found in juvenile and adult Area X whereas coexpression correlated to learning was unique to juveniles. The confluence of learning and singing coexpression in juvenile Area X may underscore molecular processes that drive vocal learning in young zebra finches and, by analogy, humans.

scholarly journals Transcriptional Profile of Aedes aegypti Leucine-Rich Repeat Proteins in Response to Zika and Chikungunya Viruses

2019 ◽  
Vol 20 (3) ◽  
pp. 615 ◽  
Author(s):  
Liming Zhao ◽  
Barry Alto ◽  
Dongyoung Shin
Keyword(s):  
Aedes Aegypti ◽  
Zika Virus ◽  
Time Course ◽  
Developmental Stages ◽  
Analysis Data ◽  
Leucine Rich Repeat ◽  
Rna Seq ◽  
Gene Expressions ◽  
Transcription Profiles ◽  
Time Course Study

Aedes aegypti (L.) is the primary vector of chikungunya, dengue, yellow fever, and Zika viruses. The leucine-rich repeats (LRR)-containing domain is evolutionarily conserved in many proteins associated with innate immunity in invertebrates and vertebrates, as well as plants. We focused on the AaeLRIM1 and AaeAPL1 gene expressions in response to Zika virus (ZIKV) and chikungunya virus (CHIKV) infection using a time course study, as well as the developmental expressions in the eggs, larvae, pupae, and adults. RNA-seq analysis data provided 60 leucine-rich repeat related transcriptions in Ae. aegypti in response to Zika virus (Accession number: GSE118858, accessed on: August 22, 2018, GEO DataSets). RNA-seq analysis data showed that AaeLRIM1 (AAEL012086-RA) and AaeAPL1 (AAEL009520-RA) were significantly upregulated 2.5 and 3-fold during infection by ZIKV 7-days post infection (dpi) of an Ae. aegypti Key West strain compared to an Orlando strain. The qPCR data showed that LRR-containing proteins related genes, AaeLRIM1 and AaeAPL1, and five paralogues were expressed 100-fold lower than other nuclear genes, such as defensin, during all developmental stages examined. Together, these data provide insights into the transcription profiles of LRR proteins of Ae. aegypti during its development and in response to infection with emergent arboviruses.

Sign in / Sign up

Export Citation Format

Share Document