Major quantitative trait loci for flowering time in lentil

WOS: 000357748700008Quantitative trait loci (QTLs) for flowering time (FT) in lentil were located using a recombinant inbreed line population derived from an intraspecific cross of Precoz x WA8649041. Experiments for FT were conducted in 2 locations (Haymana, Turkey and Pullman, WA, USA) for 5 years (from 1998 to 2002 in both Pullman and Haymana). A linkage map was constructed using 149 markers (RAPD, AFLP, ISSR, SSR, and 2 morphological markers) located on 11 linkage groups (LGs). Analysis of variance of FT was found to be significant for all locations and years. One major QTL for FT was identified on LG6 across all environments, indicating the stability of the QTL. The LOD scores for FT varied between 3.25 and 13.64 among the environments. The markers UBC318_2, SSR212_1, UBC220, M09a, and M09 on the QTL region were statistically significant in all environments. The SSR212_1 marker itself explained 57% of total genotypic variation according to the average of all environments, indicating the potential use of these markers in marker-assisted selection studies

Role of microbiota and microbiota-derived short-chain fatty acids in PDAC

Pancreatic ductal adenocarcinoma (PDAC) is one of the most aggressive lethal diseases among other cancer types. Gut microbiome and its metabolic regulation play a crucial role in PDAC. Metabolic regulation in the gut is a complex process that involves microbiome and microbiome-derived short-chain fatty acids (SCFAs). SCFAs regulate inflammation, as well as lipid and glucose metabolism, through different pathways. This review aims to summarize recent developments in PDAC in the context of gut and oral microbiota and their associations with short-chain fatty acid (SCFA). In addition to this, we discuss possible therapeutic applications using microbiota in PDAC.MRC Health Data Research UK [HDRUK/CFC/01]; UK Research and Innovation; Department of Health and Social Care (England); NIHR Birmingham SRMRC; Nanocommons H2020-EU [731032]; MAESTRIA [965286]MRC Health Data Research UK, Grant/Award Number: HDRUK/CFC/01; UK Research and Innovation; Department of Health and Social Care (England); NIHR Birmingham SRMRC; Nanocommons H2020-EU, Grant/Award Number: 731032; MAESTRIA, Grant/Award Number: 96528

Transcoronary Gradients of Mechanosensitive MicroRNAs as Predictors of Collateral Development in Chronic Total Occlusion

Background and Objectives: In this present study, we investigated the impact of mechanosensitive microRNAs (mechano-miRs) on the collateral development in 126 chronic total occlusion (CTO) patients, selected from 810 undergoing angiography. Materials and Methods: We quantified the collateral blood supply using the collateral flow index (CFI) and assessed the transcoronary mechano-miR gradients. Results: The patients with favorable collaterals had higher CFI values (0.45 ± 0.02) than those with poor collaterals (0.38 ± 0.03, p p p p = 0.002). A regression analysis highlighted the hemoglobin level, smoking, beta-blocker use, miR-26a, and miR-663 as significant CFI determinants, indicating their roles in modulating the collateral vessel development. Conclusions: These findings suggest mechanosensitive microRNAs as predictive biomarkers for collateral circulation, offering new therapeutic perspectives for CTO patients

Genomic rearrangements and signatures of breeding in the allo-octoploid strawberry as revealed through an allele dose based SSR linkage map

WOS: 000335066300001PubMed ID: 24581289Background: Breeders in the allo-octoploid strawberry currently make little use of molecular marker tools. As a first step of a QTL discovery project on fruit quality traits and resistance to soil-borne pathogens such as Phytophthora cactorum and Verticillium we built a genome-wide SSR linkage map for the cross Holiday x Korona. We used the previously published MADCE method to obtain full haplotype information for both of the parental cultivars, facilitating in-depth studies on their genomic organisation. Results: The linkage map incorporates 508 segregating loci and represents each of the 28 chromosome pairs of octoploid strawberry, spanning an estimated length of 2050 cM. The sub-genomes are denoted according to their sequence divergence from F. vesca as revealed by marker performance. The map revealed high overall synteny between the sub-genomes, but also revealed two large inversions on LG2C and LG2D, of which the latter was confirmed using a separate mapping population. We discovered interesting breeding features within the parental cultivars by in-depth analysis of our haplotype data. The linkage map-derived homozygosity level of Holiday was similar to the pedigree-derived inbreeding level (33% and 29%, respectively). For Korona we found that the observed homozygosity level was over three times higher than expected from the pedigree (13% versus 3.6%). This could indicate selection pressure on genes that have favourable effects in homozygous states. The level of kinship between Holiday and Korona derived from our linkage map was 2.5 times higher than the pedigree-derived value. This large difference could be evidence of selection pressure enacted by strawberry breeders towards specific haplotypes. Conclusion: The obtained SSR linkage map provides a good base for QTL discovery. It also provides the first biologically relevant basis for the discernment and notation of sub-genomes. For the first time, we revealed genomic rearrangements that were verified in a separate mapping population. We believe that haplotype information will become increasingly important in identifying marker-trait relationships and regions that are under selection pressure within breeding material. Our attempt at providing a biological basis for the discernment of sub-genomes warrants follow-up studies to streamline the naming of the sub-genomes among different octoploid strawberry maps.Technological Top Institute Green Genetics [1C004RP]; Socrates-Erasmus Student Exchange ProgrammeThe Socrates-Erasmus Student Exchange Programme is acknowledged for the fellowship awarded to Hulya Yilmaz Temel. Tom Davis, University of New Hampshire, is acknowledged for sharing sequence information for the design of the primers TDFM1, -2, and -6, and Paul Arens, Wageningen UR Plant Breeding is acknowledged for the design of these specific primers. Funding for this research was provided through the Technological Top Institute Green Genetics, project number 1C004RP

Identification QTLs Controlling Genes for Se Uptake in Lentil Seeds

WOS: 000372572800014PubMed ID: 26978666Lentil (Lens culinaris Medik.) is an excellent source of protein and carbohydrates and is also rich in essential trace elements for the human diet. Selenium (Se) is an essential micronutrient for human health and nutrition, providing protection against several diseases and regulating important biological systems. Dietary intake of 55 mu g of Se per day is recommended for adults, with inadequate Se intake causing significant health problems. The objective of this study was to identify and map quantitative trait loci (QTL) of genes controlling Se accumulation in lentil seeds using a population of 96 recombinant inbred lines (RILs) developed from the cross "PI 320937" x "Eston" grown in three different environments for two years (2012 and 2013). Se concentration in seed varied between 119 and 883 mu g/kg. A linkage map consisting of 1,784 markers (4 SSRs, and 1,780 SNPs) was developed. The map spanned a total length of 4,060.6 cM, consisting of 7 linkage groups (LGs) with an average distance of 2.3 cM between adjacent markers. Four QTL regions and 36 putative QTL markers, with LOD scores ranging from 3.00 to 4.97, distributed across two linkage groups (LG2 and LG5) were associated with seed Se concentration, explaining 6.3-16.9% of the phenotypic variation.Scientific and Technological Research Foundation of TurkeyTurkiye Bilimsel ve Teknolojik Arastirma Kurumu (TUBITAK) [TUBITAK-COST-114O446]The Study was funded by Scientific and Technological Research Foundation of Turkey, with grant number TUBITAK-COST-114O446

QTL regions for Se concentrations in seeds of the RILs.

<p>QTL regions for Se concentrations in seeds of the RILs.</p