Species determination and CYTB-G143A monitoring of Ramulariopsis spp. isolated from cotton in Brazil

Ramularia leaf spot is a disease of major importance on cotton fields in Brazil due to its effects on yield and cotton fiber quality. Two Ramulariopsis (syn. Ramularia) species, R. gossypii and R. pseudoglycines, are reported as the causal agents of this disease, but it is unknown which species is the most prevalent in Brazilian cotton fields. The goal of this work was to determine the most frequent species occurring on field samples from a molecular monitoring program which sampled from all cotton growing regions in Brazil from 2017 to 2020 seasons. We also used molecular tools for genotyping a region of the Cytb gene for all sampled isolates. Sequencing of an ITS-rDNA region was used for Ramulariopsis species determination, and a DNA fragment from the Cytb gene was amplified, sequenced, and analyzed for all 165 isolates. The ITS-rDNA sequencing confirmed that all isolates belong to the Ramulariopsis, and most notably, all the SNPs observed in this region, are of the R. pseudoglycines species for all 165 isolates, thus all analyzed isolates were assigned to this species. The analysis of the Cytb gene fragment sequenced showed the presence of the G143A substitution, and absence of G137R substitution, in all 165 isolates.

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Transcriptome analysis reveals genes potentially related to high fiber strength in a Gossypium hirsutum line IL9 with Gossypium mustelinum introgression

Genome ◽

10.1139/gen-2020-0177 ◽

2021 ◽

pp. 1-11

Author(s):

Qi Chen ◽

Wei Wang ◽

Sameer Khanal ◽

Jinlei Han ◽

Mi Zhang ◽

...

Keyword(s):

Transcriptome Analysis ◽

Fiber Strength ◽

Fiber Quality ◽

Enrichment Analysis ◽

Introgression Line ◽

Recurrent Parent ◽

High Fiber ◽

Go Enrichment ◽

Annotation Information ◽

Cotton Fiber Quality

Cotton (Gossypium L.) is the most important fiber crop worldwide. Here, transcriptome analysis was conducted on developing fibers of a G. mustelinum introgression line, IL9, and its recurrent parent, PD94042, at 17 and 21 days post-anthesis (dpa). Differentially expressed genes (DEGs) of PD94042 and IL9 were identified. Gene Ontology (GO) enrichment analysis showed that the annotated DEGs were rich in two main biological processes and two main molecular functions. Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis likewise showed that the annotated DEGs were mainly enriched in metabolic pathways and biosynthesis of secondary metabolites. In total, 52 DEGs were selected as candidate genes based on comparison of the DEGs and GO function annotation information. Quantitative real-time PCR (RT-qPCR) analysis results for 12 randomly selected DEGs were consistent with transcriptome analysis. SNP identification based on G. mustelinum chromatin segment introgression showed that 394 SNPs were identified in 268 DEGs, and two genes with known functions were identified within fiber strength quantitative trait loci (QTL) regions or near the confidence intervals. We identified 52 key genes potentially related to high fiber strength in a G. mustelinum introgression line and provided significant insights into the study of cotton fiber quality improvement.

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RAPID SAMPLING SYSTEM FOR DETERMINATION OF COTTON FIBER QUALITY SPATIAL VARIABILITY

Applied Engineering in Agriculture ◽

10.13031/2013.17908 ◽

2005 ◽

Vol 21 (1) ◽

pp. 9-14 ◽

Cited By ~ 3

Author(s):

G. F. Sassenrath ◽

E. R. Adams ◽

J. R. Williford

Keyword(s):

Spatial Variability ◽

Cotton Fiber ◽

Fiber Quality ◽

Sampling System ◽

Rapid Sampling ◽

Cotton Fiber Quality

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Thirteen New Yeast Strains Isolated from Cancer Patients in Basrah-Iraq by ITS rDNA Sequencing

Indian Journal of Forensic Medicine & Toxicology ◽

10.37506/ijfmt.v14i1.163 ◽

2020 ◽

Keyword(s):

Cancer Patients ◽

Its Rdna ◽

Yeast Strains ◽

Rdna Sequencing ◽

New Yeast

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A Wireless GPS System for in-field Cotton Fiber Quality Mapping

10.13031/2013.21431 ◽

2006 ◽

Author(s):

Yufeng Ge ◽

J. A. Thomasson ◽

Ruixiu Sui

Keyword(s):

Cotton Fiber ◽

Fiber Quality ◽

Cotton Fiber Quality ◽

Gps System

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QTL analysis of genotype × environment interactions affecting cotton fiber quality

Theoretical and Applied Genetics ◽

10.1007/s00122-002-1025-y ◽

2003 ◽

Vol 106 (3) ◽

pp. 384-396 ◽

Cited By ~ 191

Author(s):

A. H. Paterson ◽

Y. Saranga ◽

M. Menz ◽

C.-X. Jiang ◽

R. Wright

Keyword(s):

Qtl Analysis ◽

Cotton Fiber ◽

Fiber Quality ◽

Cotton Fiber Quality

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Improvement of cotton fiber quality by transforming the acsA and acsB genes into Gossypium hirsutum L. by means of vacuum infiltration

Plant Cell Reports ◽

10.1007/s00299-003-0751-1 ◽

2004 ◽

Vol 22 (9) ◽

pp. 691-697 ◽

Cited By ~ 38

Author(s):

X. Li ◽

X. D. Wang ◽

X. Zhao ◽

Y. Dutt

Keyword(s):

Gossypium Hirsutum ◽

Cotton Fiber ◽

Fiber Quality ◽

Vacuum Infiltration ◽

Gossypium Hirsutum L ◽

Cotton Fiber Quality

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Identification of Photobionts from the lichen family Physciaceae using algal-specific ITS rDNA sequencing

The Lichenologist ◽

10.1006/lich.2000.0298 ◽

2001 ◽

Vol 33 (1) ◽

pp. 73-86 ◽

Cited By ~ 116

Author(s):

Gert Helms ◽

Thomas Friedl ◽

Gerhard Rambold ◽

Helmut Mayrhofer

Keyword(s):

Phylogenetic Analyses ◽

Pcr Primers ◽

Its Rdna ◽

Generic Level ◽

Sequence Comparisons ◽

Its Phylogeny ◽

Specific Pcr ◽

Rdna Sequences ◽

Rdna Sequencing ◽

Geographical Regions

AbstractThe identity of photobionts from 20 species of the Physciaceae from different habitats and geographical regions has been determined by ITS rDNA sequence comparisons in order to estimate the diversity of photobionts within that lichen group, to detect patterns of specificity of mycobionts towards their photobionts and as a part of an ongoing study to investigate possible parallel cladogenesis of both symbionts. Algal-specific PCR primers have been used to determine the ITS rDNA sequences from DNA extractions of dried lichens that were up to 5 years old. Direct comparisons and phylogenetic analyses allowed the assignment of Physciaceae photobionts to four distinct clades in the photobiont ITS rDNA phylogeny. The results indicate a diversity within the genus Trebouxia Puymaly and Physciaceae photobionts that is higher than expected on the basis morphology alone. Physciaceae photobionts belonged to 12 different ITS lineages of which nine could unambiguously be assigned to six morphospecies of Trebouxia. The identity of the remaining three sequences was not clarified; they may represent new species. Specificity at the generic level was low as a whole range of photobiont species were found within a genus of Physciaceae and different ranges were detected. The photobionts of Physcia (Schreb.) Michaux were closely related and represented one morphospecies of Trebouxia, whereas the algal partners of Buellia De Not and Rinodina (Ach.) Gray were in distant lineages of the ITS phylogeny and from several Trebouxia morphospecies. Photobiont variation within a genus of Physciaceae may be due to phylogeny, geographical distance or because photobionts from neighbouring lichens were taken (“algal sharing“). At the species level Physciaceae mycobionts seem to be rather selective and contained photobionts that were very closely related within one morphospecies of Trebouxia.

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