scholarly journals Expression Analysis of Cell Wall-Related Genes in Cannabis sativa: The “Ins and Outs” of Hemp Stem Tissue Development

Fibers ◽  
2018 ◽  
Vol 6 (2) ◽  
pp. 27 ◽  
Author(s):  
Marc Behr ◽  
Stanley Lutts ◽  
Jean-Francois Hausman ◽  
Gea Guerriero
Keyword(s):  
Cell Wall ◽  
Expression Analysis ◽  
Cannabis Sativa ◽  
Stem Tissue ◽  
Tissue Development

EXPRESSION ANALYSIS OF THE NEP-1 AND CELL-WALL DEGRADING GENES OF Gilbertella persicaria DURING PATHOGENESIS IN PAPAYA (Carica papaya L.) FRUITS

2021 ◽  
pp. 101676
Author(s):  
Isabel Cruz-Lachica ◽  
Isidro Márquez-Zequera ◽  
Raúl Allende-Molar ◽  
Josefina León-Félix ◽  
Josefa Adriana Sañudo-Barajas ◽  
...  
Keyword(s):  
Cell Wall ◽  
Expression Analysis ◽  
Carica Papaya ◽  
Gilbertella Persicaria

scholarly journals Core RNA Interference Genes Involved in miRNA and Ta-siRNA Biogenesis in Hops and Their Expression Analysis after Challenging with Verticillium nonalfalfae

2021 ◽  
Vol 22 (8) ◽  
pp. 4224
Author(s):  
Urban Kunej ◽  
Jernej Jakše ◽  
Sebastjan Radišek ◽  
Nataša Štajner
Keyword(s):  
Rna Interference ◽  
Expression Analysis ◽  
Cannabis Sativa ◽  
Defense Responses ◽  
Resistant Cultivar ◽  
Post Inoculation ◽  
Biotic Stresses ◽  
Argonaute 2 ◽  
Expression Of Genes ◽  
Verticillium Nonalfalfae

RNA interference is an evolutionary conserved mechanism by which organisms regulate the expression of genes in a sequence-specific manner to modulate defense responses against various abiotic or biotic stresses. Hops are grown for their use in brewing and, in recent years, for the pharmaceutical industry. Hop production is threatened by many phytopathogens, of which Verticillium, the causal agent of Verticillium wilt, is a major contributor to yield losses. In the present study, we performed identification, characterization, phylogenetic, and expression analyses of three Argonaute, two Dicer-like, and two RNA-dependent RNA polymerase genes in the susceptible hop cultivar Celeia and the resistant cultivar Wye Target after infection with Verticillium nonalfalfae. Phylogeny results showed clustering of hop RNAi proteins with their orthologues from the closely related species Cannabis sativa, Morus notabilis and Ziziphus jujuba which form a common cluster with species of the Rosaceae family. Expression analysis revealed downregulation of argonaute 2 in both cultivars on the third day post-inoculation, which may result in reduced AGO2-siRNA-mediated posttranscriptional gene silencing. Both cultivars may also repress ta-siRNA biogenesis at different dpi, as we observed downregulation of argonaute 7 in the susceptible cultivar on day 1 and downregulation of RDR6 in the resistant cultivar on day 3 after inoculation.

scholarly journals In silicio expression analysis of PKS genes isolated from Cannabis sativa L.

2010 ◽  
Vol 33 (4) ◽  
pp. 703-713 ◽  
Author(s):  
Isvett J. Flores-Sanchez ◽  
Huub J.M. Linthorst ◽  
Robert Verpoorte
Keyword(s):  
Expression Analysis ◽  
Cannabis Sativa

scholarly journals Selection and validation of reference genes for normalization of qRT-PCR data to study secondary metabolite related genes in industrial hemp

2021 ◽  
Author(s):  
Michihito Deguchi ◽  
Shobha Potlakayala ◽  
Zachary Spuhler ◽  
Hannah George ◽  
Vijay Sheri ◽  
...  
Keyword(s):  
Gene Expression ◽  
Heavy Metal ◽  
Expression Analysis ◽  
Reference Genes ◽  
Cannabis Sativa ◽  
Expression Profiles ◽  
Expression Patterns ◽  
Qrt Pcr ◽  
Differential Gene ◽  
Industrial Hemp

Abstract Industrial hemp (Cannabis sativa L.) is a dioecious crop widely known for its production of phytocannabinoids, flavonoids, and terpenes. In the past two years since its legalization, there has been significant interest in researching this important crop for pharmaceutical applications. Although many scientific reports have demonstrated gene expression analysis of hemp through OMICs approaches, accurate validation of omics data cannot be performed because of lack of reliable reference genes for normalization of qRT-PCR data. The differential gene expression patterns of 13 candidate reference genes under osmotic, heavy metal, hormonal, and UV stress were evaluated through four software packages: geNorm, NormFinder, BestKeeper, and RefFinder. The EF-1a ranked as the most stable reference gene across all stresses, TUB was the most stable under osmotic stress, and TATA was the most stable under both heavy metal and hormonal stress. The expression profiles of two cannabinoid pathway genes, AAE1 and THCAS, using the two most stable and single least stable reference genes confirmed that two most stables genes were apt for normalization of gene expression data. This work will contribute to the future studies on the expression analysis of hemp genes regulating the synthesis, transport and accumulation of secondary metabolites.

scholarly journals Identification in silico and expression analysis of a β-1-4-endoglucanase and β-galactosidase genes related to ripening in guava fruit

2022 ◽  
Vol 20 (1) ◽  
Author(s):  
Mario A. Mejía-Mendoza ◽  
Cristina Garcidueñas-Piña ◽  
José S. Padilla-Ramírez ◽  
Ruth E. Soria-Guerra ◽  
José Francisco Morales-Domínguez
Keyword(s):  
Phylogenetic Analysis ◽  
Cell Wall ◽  
Expression Analysis ◽  
In Silico ◽  
The Other ◽  
Homologous Sequence ◽  
Plant Tissues ◽  
Fruit Softening ◽  
Guava Fruit ◽  
Putative Protein

Abstract Background Guava fruit softening is a crucial process during ripening and this process involves a number of enzymes that modifies the cell wall. Two of the enzymes that regulate this process are (a) the β-1, 4-endoglucanase 17 (BEG) which hydrolyze β-1, 4 bonds from cellulose and hemicellulose, and (b) β-galactosidase (BGA) that hydrolyzes pectin chains. Bioinformatics and expression analysis information on these genes is limited in guava fruit. Results A fragment of a β-1, 4-endoglucanase 17 (PgE17), and another of a β-galactosidase (PgGa1) were identified. These sequences have a similarity of more than 85% with those reported in the NCBI database. In the guava genome, one homologous sequence was found for PgE17 in Chr 4 and two homologous to PgGa1: one in Chr 3 and the other one in Chr 6. Putative protein PgE17 contains part of the glyco_hydro_9 domain. Putative protein PgGa1 has a part of the glyco_hydro_35 domain. Phylogenetic analysis of PgE17 and PgGa1 revealed that both are highly conserved inside the Myrtaceae family. In silico expression analysis showed that both PgE17 and PgGa1 work in a coordinated way with other cell wall modifier enzymes. Expression of these genes was found in all the guava samples analyzed. However, the highest expression was found in the fruit in the breaking and ripe states. Conclusions A β-1, 4-endoglucanase 17, and β-galactosidase 1 sequences were identified. PgE17 and PgGa1 are expressed in all the plant tissues, and fruit ripening states. Although, the highest expression was on breaker and ripe states.

Sign in / Sign up

Export Citation Format

Share Document