Single nucleotide polymorphisms linked to quantitative trait loci for grain quality traits in wheat

SummaryA key question for the implementation of marker-assisted selection (MAS) using markers in linkage disequilibrium with quantitative trait loci (QTLs) is how many markers surrounding each QTL should be used to ensure the marker or marker haplotypes are in sufficient linkage disequilibrium (LD) with the QTL. In this paper we compare the accuracy of MAS using either single markers or marker haplotypes in an Angus cattle data set consisting of 9323 genome-wide single nucleotide polymorphisms (SNPs) genotyped in 379 Angus cattle. The extent of LD in the data set was such that the average marker–marker r2 was 0·2 at 200 kb. The accuracy of MAS increased as the number of markers in the haplotype surrounding the QTL increased, although only when the number of markers in the haplotype was 4 or greater did the accuracy exceed that achieved when the SNP in the highest LD with the QTL was used. A large number of phenotypic records (>1000) were required to accurately estimate the effects of the haplotypes.

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IDENTIFICACIÓN DE QTLs ASOCIADOS A CARACTERES DE ARQUITECTURA VEGETAL EN YUCA (Manihot esculenta)

Acta Biológica Colombiana ◽

10.15446/abc.v21n1.49251 ◽

2015 ◽

Vol 21 (1) ◽

Author(s):

Camilo López ◽

Ruben Eduardo Mora Moreno ◽

Johana Carolina Soto

Keyword(s):

Quantitative Trait Loci ◽

Leaf Area ◽

Plant Height ◽

Quantitative Trait ◽

Manihot Esculenta ◽

Root Weight ◽

Nucleotide Polymorphisms ◽

Single Nucleotide ◽

Trait Loci ◽

Number Of Shoots

RESUMENLa yuca (Manihot esculenta) es el cuarto cultivo en importancia a nivel mundial como fuente de calorías para la población humana después del arroz, el azúcar y el maíz, posicionándose por esta razón como un cultivo primordial para la seguridad alimentaria. Su arquitectura ha sido considerada como un factor clave que subyace a la fisiología del rendimiento, relacionando características morfológicas con productividad. En este trabajo se evaluaron diferentes características de arquitectura vegetal en yuca. Los caracteres fueron evaluados en una población F1 compuesta por 133 hermanos completos (familia K) sembrados en dos lugares biogeográficamente diferentes: La Vega (Cundinamarca) y Arauca (Arauca) en Colombia. Las características evaluadas relacionadas con la arquitectura vegetal fueron altura de la planta (AT), número de brotes (NB), longitud entrenudos (LE), número de raíces (NR), peso de raíces (PR), pigmentación del peciolo (PP), área de la hoja (AH) y tipo de hoja (TH). A partir de los datos obtenidos y empleando un mapa genético de alta densidad basado en SNPs (Single Nucleotide Polymorphisms) se llevó a cabo un análisis de QTLs (Quantitative Trait Loci). Se lograron identificar tres QTLs para La Vega asociados con los caracteres altura total, número de brotes y área de la hoja. Para Arauca se detectaron tres QTLs asociados con altura total, longitud de entrenudos y número de brotes. Los QTLs se distribuyeron en cuatro grupos de ligamiento y explicaron entre 18,93 y 41,92 % de la variación genética.ABSTRACTCassava (Manihot esculenta) is the fourth most important crop worldwide as a source of calories for the human population after rice, sugar and corn and therefore it is considered as a staple crop. Cassava’s architecture has been considered as a key factor underlying the physiology of yield, relating morphological traits with productivity. In this work different characteristics of plant architecture were evaluated in a cassava F1 population composed by 133 complete siblings (family K) planted in two biogeographically different zones: La Vega (Cundinamarca) and Arauca (Arauca) in Colombia. The characteristics evaluated related to the vegetal architecture were plant height (AT), number of shoots (NB), internodes length (LE), number of roots (NR), root weight (PR), petiole pigmentation (PP), leaf area (AH) and leaf type (TH). From the data obtained and using a SNP- (Single Nucleotide Polymorphism) high-density genetic map a QTLs analysis (Quantitative Trait Loci) was carried out. It was possible to identify three QTLs for La Vega associated with characters plant height, internodes length and leaf area. From the Arauca’s dataset, three QTLs were detected associated with plant height, number of shoots and internodes length. The QTLs were distributed into four linkage groups and explained between 18.93 and 41.92 % of genetic variation.

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Unique Polymorphisms at BCL11A, HBS1L-MYB and HBB Loci Associated with HbF in Kuwaiti Patients with Sickle Cell Disease

Journal of Personalized Medicine ◽

10.3390/jpm11060567 ◽

2021 ◽

Vol 11 (6) ◽

pp. 567

Author(s):

Nagihan Akbulut-Jeradi ◽

Maria Jinky Fernandez ◽

Rasha Al Khaldi ◽

Jalaja Sukumaran ◽

Adekunle Adekile

Keyword(s):

Quantitative Trait Loci ◽

Sickle Cell Disease ◽

Single Nucleotide Polymorphisms ◽

Sickle Cell ◽

Quantitative Trait ◽

Sanger Sequencing ◽

Nucleotide Polymorphisms ◽

Cell Disease ◽

Single Nucleotide ◽

Unique Snps

Patients with sickle cell disease (SCD) in Kuwait have elevated HbF levels ranging from ~10–44%; however, the modulating factors are unclear. We investigated the association of single nucleotide polymorphisms (SNPs) at BCL11A, HBS1L-MYB and HBB with HbF levels in 237 Kuwaiti SCD patients, divided into 3 subgroups according to their HbF levels. Illumina Ampliseq custom DNA panel was used for genotyping and confirmed by arrayed primer extension or Sanger sequencing. In the BCL11A locus, the CC genotype of rs7606173 [χ2 = 16.5] and (GG) of rs10195871 [χ2 = 15.0] were associated with Hb-F1 and HbF-2 subgroups, unlike rs1427404-T [χ2 = 17.3], which showed the highest association across the three subgroups. HBS1L-MYB locus revealed 2 previously-described SNPs (rs66650371 [χ2 = 9.5] and rs35795442 [χ2 = 9.2]) and 2 previously-unreported SNPs, (rs13220662 [χ2 = 6.2] and rs1406811 [χ2 = 6.7]) that were associated with the HbF-3 subgroup, making this the key locus elevating HbF to the highest levels. HBB cluster variants were associated with lower levels of HbF (β = −1.1). We report four previously-unpublished variants showing significant association with HbF. Each of the three quantitative trait loci affects HbF levels differently; unique SNPs, especially in HBS1L-MYB, elevate HbF to the highest levels.

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