The SOX10 transcription factor: evaluation as a candidate gene for central and peripheral hereditary myelin disorders

2001 ◽  
Vol 248 (6) ◽  
pp. 496-499 ◽  
Author(s):  
V. Pingault ◽  
N. Bondurand ◽  
C. Le Caignec ◽  
S. Tardieu ◽  
N. Lemort ◽  
...  
Keyword(s):  
Transcription Factor ◽  
Candidate Gene ◽  
Factor Evaluation ◽  
Myelin Disorders

scholarly journals Population genomics and haplotype analysis in spelt and bread wheat identifies a gene regulating glume color

2021 ◽  
Vol 4 (1) ◽  
Author(s):  
Michael Abrouk ◽  
Naveenkumar Athiyannan ◽  
Thomas Müller ◽  
Yveline Pailles ◽  
Christoph Stritt ◽  
...  
Keyword(s):  
Transcription Factor ◽  
Candidate Gene ◽  
Population Genomics ◽  
Genotyping By Sequencing ◽  
Wheat Cultivars ◽  
Structural Variations ◽  
High Quality ◽  
Diversity Panel ◽  
Haplotype Variation ◽  
Single Region

AbstractThe cloning of agriculturally important genes is often complicated by haplotype variation across crop cultivars. Access to pan-genome information greatly facilitates the assessment of structural variations and rapid candidate gene identification. Here, we identified the red glume 1 (Rg-B1) gene using association genetics and haplotype analyses in ten reference grade wheat genomes. Glume color is an important trait to characterize wheat cultivars. Red glumes are frequent among Central European spelt, a dominant wheat subspecies in Europe before the 20th century. We used genotyping-by-sequencing to characterize a global diversity panel of 267 spelt accessions, which provided evidence for two independent introductions of spelt into Europe. A single region at the Rg-B1 locus on chromosome 1BS was associated with glume color in the diversity panel. Haplotype comparisons across ten high-quality wheat genomes revealed a MYB transcription factor as candidate gene. We found extensive haplotype variation across the ten cultivars, with a particular group of MYB alleles that was conserved in red glume wheat cultivars. Genetic mapping and transient infiltration experiments allowed us to validate this particular MYB transcription factor variants. Our study demonstrates the value of multiple high-quality genomes to rapidly resolve copy number and haplotype variations in regions controlling agriculturally important traits.

Cloning of the canine gene encoding transcription factor Pit-1 and its exclusion as candidate gene in a canine model of pituitary dwarfism

2000 ◽  
Vol 11 (1) ◽  
pp. 31-36 ◽  
Author(s):  
Irma S. Lantinga-van Leeuwen ◽  
Jan A. Mol ◽  
Hans S. Kooistra ◽  
Ad Rijnberk ◽  
Matthew Breen ◽  
...  
Keyword(s):  
Transcription Factor ◽  
Candidate Gene ◽  
Canine Model ◽  
Gene Encoding ◽  
Pituitary Dwarfism

Assignment of the Transcription Factor GATA4 Gene to Human Chromosome 8 and Mouse Chromosome 14: Gata4 Is a Candidate Gene for Ds (Disorganization)

Genomics ◽  
1995 ◽  
Vol 27 (1) ◽  
pp. 20-26 ◽  
Author(s):  
Robert A. White ◽  
Lisa L. Dowler ◽  
Linda M. Pasztor ◽  
Laura L. Gatson ◽  
Linda R. Adkison ◽  
...  
Keyword(s):  
Transcription Factor ◽  
Human Chromosome ◽  
Candidate Gene ◽  
Mouse Chromosome ◽  
Chromosome 8 ◽  
Chromosome 14

scholarly journals The ras responsive transcription factor RREB1 is a novel candidate gene for type 2 diabetes associated end-stage kidney disease

2014 ◽  
Vol 23 (24) ◽  
pp. 6441-6447 ◽  
Author(s):  
J. A. Bonomo ◽  
M. Guan ◽  
M. C. Y. Ng ◽  
N. D. Palmer ◽  
P. J. Hicks ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Transcription Factor ◽  
Kidney Disease ◽  
Candidate Gene ◽  
End Stage Kidney Disease ◽  
End Stage

scholarly journals Genome-Wide Association Study (GWAS) to Identify Salt-Tolerance QTLs Carrying Novel Candidate Genes in Rice During Early Vegetative Stage

2020 ◽  
Author(s):  
Leila Nayyeripasand ◽  
Ghasem Ali Garoosi ◽  
Asadollah Ahmadikhah
Keyword(s):  
Transcription Factor ◽  
Association Study ◽  
Candidate Gene ◽  
Candidate Genes ◽  
Salinity Tolerance ◽  
Genome Wide Association Study ◽  
Genome Wide Association ◽  
Vegetative Stage ◽  
Genome Wide ◽  
Genomic Regions

Abstract Background Rice is considered as a salt-sensitive plant, particularly at early vegetative stage, and its production is suffered from salinity due to expansion of salt affected land in areas under cultivation. Hence, significant increase of rice productivity on salinized lands is really necessary. Today genome-wide association study (GWAS) is a method of choice for fine mapping of QTLs involved in plant responses to abiotic stresses including salinity stress at early vegetative stage. In this study using > 33,000 SNP markers we identified rice genomic regions associated to early stage salinity tolerance. Eight salinity-related traits including SL, RL, RDW, RFW, SFW, SDW, RWC and TW in a diverse panel of rice consisted of 202 varieties were evaluated under salinity (100 mM NaCl) and normal conditions in growth chamber. Genome-wide association study (GWAS) was applied based on MLM(+ Q + K) model.Results Under stress conditions 151 trait-marker associations were identified that were scattered on 10 chromosomes of rice that arranged in 29 genomic regions. A genomic region on chromosome 1 (11.26 Mbp) was identified which co-located with a known QTL region SalTol1 for salinity tolerance at vegetative stage. A candidate gene (Os01g0304100) was identified in this region which encodes a cation chloride cotransporter. Furthermore, on this chromosome two other candidate genes, Os01g0624700 (24.95 Mbp) and Os01g0812000 (34.51 Mbp), were identified that encode a WRKY transcription factor (WRKY 12) and a transcriptional activator of gibberellin-dependent alpha-amylase expression (GAMyb), respectively. Also, a narrow interval on the same chromosome (40.79–42.98 Mbp) carries 12 candidate genes, some of them were not so far reported for salinity tolerance at seedling stage. Two of more interesting genes are Os01g0966000 and Os01g0963000, encoding a plasma membrane (PM) H+-ATPase and a peroxidase BP1 protein. On chromosome 6 a DnaJ-encoding gene and pseudouridine synthase gene were identified. Two novel genes on chromosome 8 including the ABI/VP1 transcription factor and retinoblastoma-related protein (RBR), and 3 novel genes on chromosome 11 including a Lox, F-box and Na+/H+ antiporter, were also identified.Conclusion The results for RDW and RFW were found more important than other traits, and known or novel candidate genes in this research can be used for improvement of salinity tolerance in molecular breeding programmes. Further study and identification of effective genes on salinity tolerance by the use of candidate gene-association analysis can help to precisely uncover the mechanisms of salinity tolerance at molecular level.

scholarly journals The Wheat GENIE3 Network Provides Biologically-Relevant Information in Polyploid Wheat

2020 ◽  
Vol 10 (10) ◽  
pp. 3675-3686 ◽  
Author(s):  
Sophie A. Harrington ◽  
Anna E. Backhaus ◽  
Ajit Singh ◽  
Keywan Hassani-Pak ◽  
Cristobal Uauy
Keyword(s):  
Transcription Factor ◽  
Transcription Factors ◽  
Candidate Gene ◽  
Web Application ◽  
Regulatory Networks ◽  
Target Genes ◽  
Gene Prediction ◽  
Relevant Information ◽  
Rna Seq ◽  
Biologically Relevant

Gene regulatory networks are powerful tools which facilitate hypothesis generation and candidate gene discovery. However, the extent to which the network predictions are biologically relevant is often unclear. Recently a GENIE3 network which predicted targets of wheat transcription factors was produced. Here we used an independent RNA-Seq dataset to test the predictions of the wheat GENIE3 network for the senescence-regulating transcription factor NAM-A1 (TraesCS6A02G108300). We re-analyzed the RNA-Seq data against the RefSeqv1.0 genome and identified a set of differentially expressed genes (DEGs) between the wild-type and nam-a1 mutant which recapitulated the known role of NAM-A1 in senescence and nutrient remobilisation. We found that the GENIE3-predicted target genes of NAM-A1 overlap significantly with the DEGs, more than would be expected by chance. Based on high levels of overlap between GENIE3-predicted target genes and the DEGs, we identified candidate senescence regulators. We then explored genome-wide trends in the network related to polyploidy and found that only homeologous transcription factors are likely to share predicted targets in common. However, homeologs which vary in expression levels across tissues are less likely to share predicted targets than those that do not, suggesting that they may be more likely to act in distinct pathways. This work demonstrates that the wheat GENIE3 network can provide biologically-relevant predictions of transcription factor targets, which can be used for candidate gene prediction and for global analyses of transcription factor function. The GENIE3 network has now been integrated into the KnetMiner web application, facilitating its use in future studies.

scholarly journals Transcriptome Analysis Identifies Key Genes Responsible for Red Coleoptiles in Triticum Monococcum

Molecules ◽  
2019 ◽  
Vol 24 (5) ◽  
pp. 932 ◽  
Author(s):  
Dong Cao ◽  
Jiequn Fan ◽  
Xingyuan Xi ◽  
Yuan Zong ◽  
Dongxia Wang ◽  
...  
Keyword(s):  
Transcription Factor ◽  
Transcription Factors ◽  
Candidate Gene ◽  
Transcriptome Analysis ◽  
Anthocyanin Biosynthesis ◽  
Functional Domains ◽  
Transactivation Domain ◽  
Structural Genes ◽  
Transcript Levels ◽  
Key Genes

Red coleoptiles can help crops to cope with adversity and the key genes that are responsible for this trait have previously been isolated from Triticum aestivum, Triticum urartu, and Aegilops tauschii. This report describes the use of transcriptome analysis to determine the candidate gene that controls the trait for white coleoptiles in T. monococcum by screening three cultivars with white coleoptiles and two with red coleoptiles. Fifteen structural genes and two transcription factors that are involved in anthocyanin biosynthesis were identified from the assembled UniGene database through BLAST analysis and their transcript levels were then compared in white and red coleoptiles. The majority of the structural genes reflected lower transcript levels in the white than in the red coleoptiles, which implied that transcription factors related to anthocyanin biosynthesis could be candidate genes. The transcript levels of MYC transcription factor TmMYC-A1 were not significantly different between the white and red coleoptiles and all of the TmMYC-A1s contained complete functional domains. The deduced amino acid sequence of the MYB transcription factor TmMYB-A1 in red coleoptiles was homologous to TuMYB-A1, TaMYB-A1, TaMYB-B1, and TaMYB-D1, which control coleoptile color in corresponding species and contained the complete R2R3 MYB domain and the transactivation domain. TmMYB-a1 lost its two functional domains in white coleoptiles due to a single nucleotide deletion that caused premature termination at 13 bp after the initiation codon. Therefore, TmMYB-A1 is likely to be the candidate gene for the control of the red coleoptile trait, and its loss-of-function mutation leads to the white phenotype in T. monococcum.

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