Genotypic Diversity in Oenothera laciniata (Onagraceae), A Permanent Translocation Heterozygote

Evolution ◽  
1982 ◽  
Vol 36 (1) ◽  
pp. 63 ◽  
Author(s):  
Norman C. Ellstrand ◽  
Donald A. Levin
Keyword(s):  
Genotypic Diversity ◽  
Translocation Heterozygote

scholarly journals Quantitative Control of Early Flowering in White Lupin (Lupinus albus L.)

2021 ◽  
Vol 22 (8) ◽  
pp. 3856
Author(s):  
Sandra Rychel-Bielska ◽  
Anna Surma ◽  
Wojciech Bielski ◽  
Bartosz Kozak ◽  
Renata Galek ◽  
...  
Keyword(s):  
Flowering Time ◽  
Association Studies ◽  
Lupinus Albus ◽  
Genotypic Diversity ◽  
Early Flowering ◽  
White Lupin ◽  
Genome Wide Association Studies ◽  
Interacting Protein ◽  
Major Qtls ◽  
Lupinus Albus L

White lupin (Lupinus albus L.) is a pulse annual plant cultivated from the tropics to temperate regions for its high-protein grain as well as a cover crop or green manure. Wild populations are typically late flowering and have high vernalization requirements. Nevertheless, some early flowering and thermoneutral accessions were found in the Mediterranean basin. Recently, quantitative trait loci (QTLs) explaining flowering time variance were identified in bi-parental population mapping, however, phenotypic and genotypic diversity in the world collection has not been addressed yet. In this study, a diverse set of white lupin accessions (n = 160) was phenotyped for time to flowering in a controlled environment and genotyped with PCR-based markers (n = 50) tagging major QTLs and selected homologs of photoperiod and vernalization pathway genes. This survey highlighted quantitative control of flowering time in white lupin, providing statistically significant associations for all major QTLs and numerous regulatory genes, including white lupin homologs of CONSTANS, FLOWERING LOCUS T, FY, MOTHER OF FT AND TFL1, PHYTOCHROME INTERACTING FACTOR 4, SKI-INTERACTING PROTEIN 1, and VERNALIZATION INDEPENDENCE 3. This revealed the complexity of flowering control in white lupin, dispersed among numerous loci localized on several chromosomes, provided economic justification for future genome-wide association studies or genomic selection rather than relying on simple marker-assisted selection.

Tissue fusion and enhanced genotypic diversity support the survival of Pocillopora acuta coral recruits under thermal stress

Coral Reefs ◽  
2021 ◽  
Vol 40 (2) ◽  
pp. 447-458
Author(s):  
Ariana S. Huffmyer ◽  
Crawford Drury ◽  
Eva Majerová ◽  
Judith D. Lemus ◽  
Ruth D. Gates
Keyword(s):  
Thermal Stress ◽  
Genotypic Diversity ◽  
Tissue Fusion

Impact of genotypic diversity on selection of subtype-specific drug resistance profiles during raltegravir-based therapy in individuals infected with B and BF recombinant HIV-1 strains

2020 ◽  
Vol 75 (6) ◽  
pp. 1567-1574
Author(s):  
Daniela Sánchez ◽  
Solange Arazi Caillaud ◽  
Ines Zapiola ◽  
Silvina Fernandez Giuliano ◽  
Rosa Bologna ◽  
...  
Keyword(s):  
Drug Resistance ◽  
Current Knowledge ◽  
Phylogenetic Analyses ◽  
Genotypic Diversity ◽  
Resistance Testing ◽  
Cross Resistance ◽  
Resistance Mutations ◽  
Middle Income ◽  
Subtype B ◽  
Hiv 1

Abstract Background Current knowledge on HIV-1 resistance to integrase inhibitors (INIs) is based mostly on subtype B strains. This contrasts with the increasing use of INIs in low- and middle-income countries, where non-B subtypes predominate. Materials and methods HIV-1 drug resistance genotyping was performed in 30 HIV-1-infected individuals undergoing virological failure to raltegravir. Drug resistance mutations (DRMs) and HIV-1 subtype were characterized using Stanford HIVdb and phylogenetic analyses. Results Of the 30 integrase (IN) sequences, 14 were characterized as subtype F (47%), 8 as subtype B (27%), 7 as BF recombinants (23%) and 1 as a putative CRF05_DF (3%). In 25 cases (83%), protease and reverse transcriptase (PR-RT) sequences from the same individuals confirmed the presence of different BF recombinants. Stanford HIVdb genotyping was concordant with phylogenetic inference in 70% of IN and 60% of PR-RT sequences. INI DRMs differed between B and F IN subtypes, with Q148K/R/H, G140S and E138K/A being more prevalent in subtype B (63% versus 0%, P = 0.0021; 50% versus 0%, P = 0.0096; and 50% versus 0%, P = 0.0096, respectively). These differences were independent of the time on raltegravir therapy or viral load at the time of genotyping. INI DRMs in subtype F IN genomes predicted a lower level of resistance to raltegravir and no cross-resistance to second-generation INIs. Conclusions Alternative resistance pathways to raltegravir develop in subtypes B and F IN genomes, with implications for clinical practice. Evaluating the role of HIV-1 subtype in development and persistence of mutations that confer resistance to INIs will be important to improve algorithms for resistance testing and optimize the use of INIs.

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