Assessing the performance of Moghani crossbred lambs derived from different mating systems with Texel and Booroola sheep.

In our ongoing project, which focuses on the introgression of Booroola/FecB gene and the myostatin (MSTN) gene into purebred Moghani sheep, we assessed the performance of second-generation Moghani crossbreds such as second crossbreds (F2) and initial backcross generation (BC1). These crossbreds were generated through different mating systems, including in-breeding, outcrossing, first paternal backcrossing (PBC1), and first maternal backcrossing (MBC1). Notably, F2 strains exhibited lean tail, woolly fleece and a higher percentage of white coat color compared to BC1. The impact of mating systems and birth types on pre-weaning survival rates was found to be statistically significant (P < 0.0001), with singleton offspring resulting from paternal backcross showing a particularly substantial effect. The F2 crossbred lambs carrying the Booroola gene did not show a statistically significant difference in survivability compared to those carrying the MSTN gene, implying the Booroola prolificacy gene had no significant impact on survival outcomes. However, the occurrence of multiple births had a significant negative impact on lamb survival (P < 0.0001). The PBC1 sheep strains, specifically Texel Tamlet ram strains carrying the MSTN mutation, exhibited superior growth rates compared to others (P < 0.05). Interestingly, the MSTN mutation in the homozygous variant genotype significantly impacts growth rate before weaning compared to other genotypes and pure Moghani sheep (P < 0.05). In conclusion, this study objectively underscores the pivotal role of genetic factors, specifically through strategic mating systems like paternal backcrossing, in enhancing desired traits and growth rates in Moghani sheep, thereby contributing valuable insights to the field of sheep breeding programs.

Unveiling the population genetic structure of Iranian horses breeds by whole-genome resequencing analysis.

Preserving genetic diversity is pivotal for enhancing genetic improvement and facilitating adaptive responses to selection. This study focuses on identifying key genetic variants, including single nucleotide polymorphisms (SNPs), insertion/deletion polymorphisms (INDELs), and copy number variants (CNVs), while exploring the genomic evolutionary connectedness among seven Iranian horses representing five indigenous breeds: Caspian, Turkemen, DareShuri, Kurdish, and Asil. Using whole-genome resequencing, we generated 2.7 Gb of sequence data, with raw reads ranging from 1.2 Gb for Caspian horses to 0.38 Gb for Turkoman horses. Post-filtering, approximately 1.9 Gb of reads remained, with ~ 1.5 Gb successfully mapped to the horse reference genome (EquCab3.0), achieving mapping rates between 76.4% (Caspian) and 98.35% (Turkoman). We identified 2,909,816 SNPs in Caspian horses, constituting around 0.1% of the genome. Notably, 71% of these SNPs were situated in intergenic regions, while 8.5 and 6.8% were located upstream and downstream, respectively. A comparative analysis of SNPs between Iranian and non-Iranian horse breeds showed that Caspian horses had the lowest number of shared SNPs with Turkoman horses. Instead, they showed a closer genetic relationship with DareShuri, Quarter, Arabian, Standardbred, and Asil breeds. Hierarchical clustering highlighted Caspian horses as a distinct cluster, underscoring their distinctive genomic signature. Caspian horses exhibit a unique genetic profile marked by an enrichment of private mutations in neurological genes, influencing sensory perception and awareness. This distinct genetic makeup shapes mating preferences and signifies a separate evolutionary trajectory. Additionally, significant non-synonymous single nucleotide polymorphisms (nsSNPs) in reproductive genes offer intervention opportunities for managing Caspian horses. These findings reveal the population genetic structure of Iranian horse breeds, contributing to the advancement of knowledge in areas such as conservation, performance traits, climate adaptation, reproduction, and resistance to diseases in equine science.

Transcriptome wide identification of neuropeptides and G protein-coupled receptors (GPCRs) in Sunn pest, Eurygaster integriceps Puton.

Sunn pest (Eurygaster integriceps Puton) is major wheat pest causing economic damage. Neuropeptides and their receptors, G protein-coupled receptors (GPCRs), are involved in the regulation of insect physiology and behavior. Herein, a transcriptome-wide analysis was conducted in order to identify genes encoding neuropeptides, and putative GPCRs to gain insight into neuropeptide-modulated processes. De novo transcriptome assembly was undertaken using paired-end sequence reads derived from RNA samples collected from whole adults and yielded 582,398 contigs. In total, 46 neuropeptides have been identified, encompassing various known insect neuropeptide families. In addition, we discovered four previously uncharacterized neuroparsin peptides, which contributes to our understanding of the neuropeptide landscape. Furthermore, 85 putative neuropeptide GPCRs were identified, comprising three classes of GPCRs, A, B, C, and LGR, of which class C is not widely reported in insects. In addition, the identified GPCRs exhibited a remarkable 80% homology with the GPCRs found in the brown marmorated stink bug. It is noteworthy that these GPCRs displayed only a 20% homology to GPCRs from many other insect species. This information may be used to understand the neuropeptide-modulated physiology and behavior of Eurygaster integriceps, and to develop specific neuropeptide-based pest management strategies.

A chromosome-level genome assembly of Zasmidium syzygii isolated from banana leaves.

Accurate taxonomic classification of samples from infected host material is essential for disease diagnostics and genome analyses. Despite the importance, diagnosis of fungal pathogens causing banana leaf diseases remains challenging. Foliar diseases of bananas are mainly caused by three Pseudocercospora species, of which the most predominant causal agent is P. fijiensis. Here, we sequenced and assembled four fungal isolates obtained from necrotic banana leaves in Bohol (Philippines) and obtained a high-quality genome assembly for one of these isolates. The samples were initially identified as P. fijiensis using PCR diagnostics, however, the assembly size was consistently 30 Mb smaller than expected. Based on the ITS sequences, we identified the samples as Zasmidium syzygii (98.7% identity). The high-quality Zasmidium syzygii assembly is 42.5 Mb in size, comprising 16 contigs, of which 11 are most likely complete chromosomes. The genome contains 98.6% of the expected single-copy BUSCO genes and contains 14,789 genes and 10.3% repeats. The three short-read assemblies are less continuous but have similar genome sizes (40.4-42.4 Mb) and contain between 96.5% and 98.4% BUSCO genes. All four isolates have identical ITS sequences and are distinct from Zasmidium isolates that were previously sampled from banana leaves. We thus report the first continuous genome assembly of a member of the Zasmidium genus, forming an essential resource for further analysis to enhance our understanding of the diversity of pathogenic fungal isolates as well as fungal diversity.

Physiological specialization of Puccinia triticina and genome-wide association mapping provide insights into the genetics of wheat leaf rust resistance in Iran.

Leaf rust caused by Puccinia triticina Erikss. (Pt) is the most widely distributed and important wheat disease worldwide. The objective of the present study was to determine the frequency of Iranian Pt races, their virulence to key resistance genes and map quantitative trait loci (QTL) for resistance to different Pt races from 185 globally diverse wheat genotypes using a genome-wide association study (GWAS) approach. The virulence pattern of the 33 Pt isolates from various wheat-growing areas of Iran on 55 wheat differentials showed that the FKTPS and FKTTS were relatively frequent pathotypes among the 18 identified races. The weighted average frequency of virulence on the resistance genes Lrb, Lr3bg, Lr14b, Lr16, Lr24, Lr3ka, Lr11 and Lr20 were high (> 90%). However, low virulence on the resistant genes Lr2a, Lr9, Lr19, Lr25, Lr28 and Lr29 indicates that these genes are still effective against the pathogen population in Iran at present. GWAS on a panel of 185 wheat genotypes against 10 Pt races resulted into 62 significant marker-trait associations (MTAs) belonged to 34 quantitative trait loci (QTL) across 16 chromosomes. Among them, 10 QTLs on chromosomes 1A, 1B, 3B, 3D, 4A, 6D, 7A and 7D were identified as potential novel QTLs, of which four QTLs (QLr.iau-3B-2, QLr.iau-7A-2, QLr.iau-7A-3 and QLr.iau-7D-2) are more interesting, as they are associated with resistance to two or more Pt races. The known and novel QTLs associated with different Pt races found here, can be used in future wheat breeding programs to recombine different loci for durable resistance against leaf rust races.

Interaction networks and pathway analysis of genetic resistance to gastrointestinal nematodes in sheep.

Gastrointestinal nematode (GINs) infections are one of the causative agents of health and economic issues in sheep production systems worldwide. Considerable genetic variations in resistance or susceptibility in different sheep breeds are documented, but published results are conflicting. Recent advances obtained by high-throughput technologies such as commercial SNP chips, whole-genome sequencing, or whole transcriptome profiling provide new insights into breeding for host resistance or nematode control at the genetic levels. This study aimed to identify potential biomarkers associated with the resistance to ovine GINs through a network analysis approach. Comprehensive gene and protein interaction networks were reconstructed for candidate genes involved in the most related immune pathways associated with resistance to ovine GINs using data mining from literature. Generally, 30 genes including CD53, CHIA, RELN, HRH1, EPS15, LRP8, ATP2B1, IL4, IL5, IL13, IL2RA, IL23R, TNFα, IFNγ, TBX21, SH3RF1, HERC2, PTPN1, BIN1, HERC5, C3AR1, NOS2, STAT5B, STAT4, CCL1, CCL8, VIL1, CXCR1, CXCR2, and CXCR4 located on chromosomes 1, 2, 3, 4, 5, 6, 11, 13, 19, and 20 have been found as containing effective regions with the most related pathways to nematode infections. The results obtained by network analysis showed two functional modules, belonging to the interleukins family (IL4, IL5, IL13, IL23R, and IL2RA) and chemokine receptors or ligands family (CXCR1, CXCR2, CXCR4, CCL1, and CCL8). Interleukins are a group of cytokines that are expressed by white blood cells with a major role in the immune system. Chemokines are also a family of chemoattractant cytokines which play a vital role in cell migration that influence the immune system by a process known as chemotaxis. The results provide useful information for the functional annotation of candidate genes related to parasite resistance and add new information towards a consensus on quantitative trait loci (QTLs) related to the incidence of nematode infections.

Comparison of the growth performance between pure Moghani sheep and crosses with Texel or Booroola sheep carrying major genes contributing to muscularity and prolificacy.

This study aimed to compare growth performance between Moghani sheep and crossbred lambs resulting from crossbreeding between Moghani pure breed ewes and the lines of rams e.g., Texel Tamlet, Texel Dalzell, Booroola Merino, and Booroola Romney. The first visible phenotypic characteristic was the presence of lean tail in all F1 crossbred lambs, whereas Moghani pure sheep is a well-known large fat-tailed breed. Moreover, the first generation of backcross (BC1) lambs from mating four types of F1 crossbred rams with Moghani pure ewes revealed lean-tailed to short fat-tailed. Comparative results showed that the F1 crossbred lambs had significantly (p < 0.0001) greater birth weight (BW) than the Moghani pure breed lambs. Despite no significant differences observed between Moghani pure breed sheep and its F1 crossbred lambs for body weight at pre-weaning, but F1 crossbred lambs achieved significantly (p < 0.0001) greater body weight after weaning compared to Moghani sheep. The growth performance of BC1 lambs was outperformed than F1 crossbred and Moghani sheep. These results encourage the continuation of the Moghani sheep crossbreeding programs to improve overall lamb growth, particularly post-weaning and to benefit from a better reproductive efficiency by elimination or reduction of the fat tail.

Genetic basis of muscle-related traits in sheep: A review.

Sheep is a major contributor to global food production among livestock and one of the great sources of red meat for human consumption. Several QTL and numerous genes with major and minor effects have been identified in association with the muscle characteristics in sheep breeds worldwide. Understanding the genetic background of growth and carcass-related traits in sheep is a major factor in increasing muscle growth, muscle hypertrophy and, eventually, meat production. This review concisely shows how major signaling pathways control skeletal muscle growth. Herein we aimed to discuss and summarize different research findings on genomic regions related to carcass traits and meat production in sheep. Several causative mutations with major effects on different muscle-related traits have been reported in various sheep breeds. A general overview of the studies on main candidate genes showed that some alleles have major phenotypic effects in different breeds with commercial and farm level usability. However, numerous genes with minor effects were also reported regarding the polygenic nature of muscle-related traits. The knowledge of the candidate genes involved in growth traits and their effects provides valuable information for breeding and selection of muscularity traits.

Genetic analysis of novel resistance sources and genome-wide association mapping identified novel QTLs for resistance to Zymoseptoria tritici, the causal agent of septoria tritici blotch in wheat.

Septoria tritici blotch (STB) caused by Zymoseptoria tritici is one of the most important foliar diseases of wheat causing significant yield losses worldwide. In this study, a panel of bread wheat genotypes comprised 185 globally diverse genotypes were tested against 10 Z. tritici isolates at the seedling stage. Genome-wide association study (GWAS) using high-throughput DArTseq markers was performed and further gene expression analysis of significant markers trait association (MTAs) associated with resistance to STB was analyzed. Disease severity level showed significant differences among wheat genotypes for resistance to different Z. tritici isolates. We found novel landrace genotypes that showed highly resistance spectra to all tested isolates. GWAS analysis resulted in 19 quantitative trait loci (QTLs) for resistance to STB that were located on 14 chromosomes. Overall, 14 QTLs were overlapped with previously known QTLs or resistance genes, as well as five potentially novel QTLs on chromosomes 1A, 4A, 5B, 5D, and 6D. Identified novel resistance sources and also novel QTLs for resistance to different Z. tritici isolates can be used for gene pyramiding and development of durable resistance cultivars in future wheat breeding programs.

A handmade DNA extraction kit using laundry powder; insights on simplicity, cost-efficiency, rapidity, safety and the quality of purified DNA.

Here we describe an in-house kit for high throughput DNA extraction using laundry detergent. A simplified lysis buffer made only from 0.08 M EDTA, 0.1 M Tris, and laundry powder is the core of our protocol. We extracted genomic DNA from 150 µL of whole blood collected from different farm animals and compared the performance to both the DNeasy Blood & Tissue Kit (Qiagen) and the widely used salting-out procedure. An evaluation of the concentration and quality of the extracted DNA was then assessed by the NanoDrop absorption spectra, agarose gel migration, amplification in PCR and the Sanger sequencing. The in-house kit successfully extracted clean DNA from all blood samples, and discernably outperformed the commercial kits and the original salting-out procedure in the sense of the simplicity, cost-efficiency, quantity, and the quality of purified DNA. Apart from replacing proteinase K and the sodium dodecyl sulfate treatment by the laundry detergent, our protocol instructs a lysis buffer that eliminates sucrose, Triton X-100, MgCl2, NH4Cl, and KCl. Our handmade kit might be of interest for laboratories in underdeveloped countries with a budget shortage or applications in difficult field conditions, for example, when fridge storage for proteinase K cannot be ensured.

Runs of Homozygosity in Modern Chicken Revealed by Sequence Data.

Runs of homozygosity (ROH) are chromosomal stretches that in a diploid genome appear in a homozygous state and display identical alleles at multiple contiguous loci. This study aimed to systematically compare the genomic distribution of the ROH islands among five populations of wild vs commercial chickens of both layer and broiler type. To this end, we analyzed whole genome sequences of 115 birds including white layer (WL, n = 25), brown layer (BL, n = 25), broiler line A (BRA, n = 20), broiler line B (BRB, n = 20) and Red Junglefowl (RJF, n = 25). The ROH segments varied in size markedly among populations, ranging from 0.3 to 21.83 Mb reflecting their past genealogy. White layers contained the largest portion of the genome in homozygous state with an average ROH length of 432.1 Mb (±18.7) per bird, despite carrying it in short segments (0.3-1 Mb). Population-wise inbreeding measures based on Wright's (Fis) and genomic (FROH) metrics revealed highly inbred genome of layer lines relative to the broilers and Red Junglefowl. We further revealed the ROH islands, among commercial lines overlapped with QTL related to limb development (GREM1, MEOX2), body weight (Meis2a.1, uc_338), eggshell color (GLCCI1, ICA1, UMAD1), antibody response to Newcastle virus (ROBO2), and feather pecking. Comparison of ROH landscape in sequencing resolution demonstrated that a sizable portion of genome of commercial lines segregates in homozygote state, reflecting many generations of assortative mating and intensive selection in their recent history. In contrary, wild birds carry shorter ROH segments, likely suggestive of older evolutionary events.

In-depth genome diversity, population structure and linkage disequilibrium analysis of worldwide diverse safflower (Carthamus tinctorius L.) accessions using NGS data generated by DArTseq technology.

Safflower (Carthamus tinctorius L.) is one of the most important oilseed crops for its seed oil rich in unsaturated fatty acids. Precise utilization of diverse genetic resources is fundamental in breeding programs to improve high yield genotypes with desirable traits. In this study, for the first time we report successful application of DArTseq technology; an efficient genotyping-by-sequencing (NGS); to analysis genetic diversity and population structure of 89 safflower accessions from worldwide origins. Totally, 19,639 DArTseq markers (10,130 SilicoDArTs and 9509 SNPs) generated through DArTseq genotyping. After filtering the data, 3431 polymorphic DArTseq markers (1136 SilicoDArTs and 2295 SNPs) used for genetic diversity, population structure and linkage disequilibrium analysis in safflower genotypes. All the SilicoDArT and SNP markers showed high reproducibility and call rate. Polymorphism information content (PIC) values ranged from 0.1 to 0.5, while ≥ 0.50% of SilicoDArTs and ≥ 0.64% SNPs showed PIC values more than median. Genotypes grouping using DArTseq markers resulted in three distinct clusters. Results showed weak correlation between safflower diversity pattern and origins. Analysis of molecular variance revealed that the majority of genetic variation was attributed to the differences among varieties within cluster populations and there was no significant molecular variance between origins. However, safflower of accessions belonged to Iran, Turkey, Pakistan and India indeed appear to be genetically similar and grouped close in referred cluster, while the accessions from Near East (Afghanistan, China) being distinct. Our results were in agreement with hypothesis that safflower domesticated in somewhere west of Fertile Crescent and then expanded through Africa and Europe. Present study using a panel of globally diverse safflower accessions and large number of DArTseq markers set the stage for future analysis of safflower domestication using large germplasm from proposed domestication centers. Also, studied germplasm in this study can be used as a valuable source for future genomic studies in safflower for mapping desirable traits through genome-wide association mapping studies.

Whole-genome diversity, population structure and linkage disequilibrium analysis of globally diverse wheat genotypes using genotyping-by-sequencing DArTseq platform.

In this study, 129 wheat genotypes from globally diverse origins were genotyped using DArTseq (SilicoDArT and SNP) markers. After filtering markers for quality-filtering, 14,270 SilicoDArTs and 6484 SNPs were retained and used for genetic diversity, population structure and linkage disequilibrium analyses. The highest number of SilicoDArT and SNP markers mapped on genome A and B compared to genome D. In both marker types, polymorphism information content (PIC) values ranged from 0.1 to 0.5, while > 0.80% of SilicoDArTs and > 0.44% SNPs showed PIC value more than median (0.25%). Un-weighted Neighbor Joining cluster analysis and Bayesian-based model population structure grouped wheat genotypes into three and four clusters, respectively. Principal component analysis and discriminant analysis of principal component results showed highly match with cluster and population structure analysis. Linkage disequilibrium (LD) was more extensive in both marker types, while graphical display of LD decay for both marker types showed that LD declined in the region close to 15 kbp, where r 2-values corresponded to r 2 = 0.16. Overall, our genetic diversity analysis showed high level of variation in studied wheat genotypes, even though there was no relationship between wheat grouping and origins. This might be attributed to admixture level that occurred during long-term natural selection of wheat genotypes in different parts of the world. Highly diverse wheat genotypes used in this study may possess unique genes and are useful sources in breeding programs to improve grain yield and quality.

Pathogenic Diversity of Ascochyta rabiei Isolates and Identification of Resistance Sources in Core Collection of Chickpea Germplasm.

Ascochyta blight caused by Ascochyta rabiei (Pass.) Lab. (Telomorph: Didymella rabiei) (Kov.) is one of the most important fungal diseases in chickpea worldwide. Knowledge about pathogen aggressiveness and identification resistance sources to different pathotypes is very useful for proper decisions in breeding programs. In this study, virulence of 32 A. rabiei isolates from different part of Iran were analyzed on seven chickpea differentials and grouped into six races based on 0-9 rating scale and susceptibility/resistant pattern of chickpea differentials. The least and most frequent races were race V and race I, respectively. Race V and VI showed highly virulence on most of differential, while race I showed least aggressiveness. Resistance pattern of 165 chickpea genotypes also were tested against six different A. rabiei races. ANOVA analysis showed high significant difference for isolate, chickpea genotypes and their interactions. Overall chickpea × isolate (race) interactions, 259 resistance responses (disease severity ≤ 4) were identified. Resistance spectra of chickpea genotypes showed more resistance rate to race I (49.70%) and race III (35.15%), while there were no resistance genotypes to race VI. Cluster analysis based on disease severity rate, grouped chickpea genotypes into four distinct clusters. Interactions between isolates or races used in this study, showed the lack of a genotype with complete resistance. Our finding for virulence pattern of A. rabiei and newly identified resistance sources could be considerably important for integration of ascochyta blight resistance genes into chickpea breeding programs and proper decision in future for germplasm conservation and diseases management.

Whole Genome Diversity, Population Structure, and Linkage Disequilibrium Analysis of Chickpea (Cicer arietinum L.) Genotypes Using Genome-Wide DArTseq-Based SNP Markers.

Characterization of genetic diversity, population structure, and linkage disequilibrium is a prerequisite for proper management of breeding programs and conservation of genetic resources. In this study, 186 chickpea genotypes, including advanced "Kabuli" breeding lines and Iranian landrace "Desi" chickpea genotypes, were genotyped using DArTseq-Based single nucleotide polymorphism (SNP) markers. Out of 3339 SNPs, 1152 markers with known chromosomal position were selected for genome diversity analysis. The number of mapped SNP markers varied from 52 (LG8) to 378 (LG4), with an average of 144 SNPs per linkage group. The chromosome size that was covered by SNPs varied from 16,236.36 kbp (LG8) to 67,923.99 kbp (LG5), while LG4 showed a higher number of SNPs, with an average of 6.56 SNPs per Mbp. Polymorphism information content (PIC) value of SNP markers ranged from 0.05 to 0.50, with an average of 0.32, while the markers on LG4, LG6, and LG8 showed higher mean PIC value than average. Unweighted neighbor joining cluster analysis and Bayesian-based model population structure grouped chickpea genotypes into four distinct clusters. Principal component analysis (PCoA) and discriminant analysis of principal component (DAPC) results were consistent with that of the cluster and population structure analysis. Linkage disequilibrium (LD) was extensive and LD decay in chickpea germplasm was relatively low. A few markers showed r2 ≥ 0.8, while 2961 pairs of markers showed complete LD (r2 = 1), and a huge LD block was observed on LG4. High genetic diversity and low kinship value between pairs of genotypes suggest the presence of a high genetic diversity among the studied chickpea genotypes. This study also demonstrates the efficiency of DArTseq-based SNP genotyping for large-scale genome analysis in chickpea. The genotypic markers provided in this study are useful for various association mapping studies when combined with phenotypic data of different traits, such as seed yield, abiotic, and biotic stresses, and therefore can be efficiently used in breeding programs to improve chickpea.

PCR-based identification of point mutation mediating acetolactate synthase-inhibiting herbicide resistance in weed wild mustard (Sinapis arvensis).

Acetolactate synthase (ALS)-inhibiting herbicides have been widely used for effective management and control of wild mustard (Sinapis arvensis) biotypes in Iran. The resistance of the ALS inhibitor to weeds is attributed to either target site alteration or enhanced herbicide degradation. Molecular and genetic characterization of the resistance mechanism is relevant to the evolution and management of herbicide resistance. The aims of this research were (a) to characterize the mechanism molecular suspected to Granstar (tribenuron methyl) and Atlantis (Mesosulfuron + Iodosulfuron) resistance in S. arvensis biotypes in the greenhouse and laboratory (b) to investigate the organization of the target-site loci in field selected S. arvensis populations and (c) instantly recognize the mutations that cause resistance to ALS inhibitors. Eighty resistant populations of S. arvensis were carefully collected from fields repeatedly treated with Granstar and Atlantis. The resistance level and pattern of the population were determined through a greenhouse dose-response experiment by applying the above-mentioned herbicides. Extraction of genomic DNA was carried out for PCR and ALS gene analysis. Our results showed that by greenhouse experiment across 80 biotypes suspected to resistance collected in the fields of whole Kermanshah Province, 30 biotypes (37.5%) conferred S. arvensis resistance species reported in the farm. Among 30 biotypes screened in a greenhouse experiment, six biotypes (20%), No. 9, 14, 17, 19, 23 and 28 revealed a mutation in the ALS gene that was detected by PCR-based method. Biotype No. 9 in the position 376 (Asp376-Gly, GAC to GGC), biotypes 14 and 19 in the position 197 (Pro197-Ala, CCT to GCT), biotypes 17, 23 and 28 in the position 574 (Trp574-Leu, TGG to TTG) and biotype No. 23 in the position 122 (Thr-122-Ala, ACA to GCA) showed herbicide resistance. The specific mutation in the position of 122 of the ALS gene in S. arvensis is the first report. Other biotypes showed resistance in the greenhouse but didn't indicate any mutation by PCR-based method. Most of the resistance to Granstar and Atlantis are genetic and are induced by mutations in the ALS gene. The resistance to herbicides may contain a non-mutagenic and non-genetic origin. The reason of herbicide resistance as non-target-site in some of the biotypes may relate to the activity of the herbicide-metabolizing enzyme(s) or transporter proteins that will naturally lead to an increase in herbicide degradation or compartmentation away from its active site.

Genetic Diversity and Molecular Characterization of Iranian Durum Wheat Landraces (Triticum turgidum durum (Desf.) Husn.) Using DArT Markers.

Durum wheat is grown mainly in rain-fed regions of Iran and the Mediterranean district under stressful conditions. Different environmental conditions and agricultural practices among ancient communities have led to the development of locally adapted genotypes known as landraces. Landraces are a valued source of genetic variety and show definite adaptation to local environmental conditions according to their home of origin. This study aimed to explore linkage disequilibrium (LD) analysis and the population structure and genetic diversity of Iranian durum wheat landraces. In this study, population structure and genome-wide LD were investigated in 129 durum landrace accessions using 1500 DArT markers. Both structure and discriminant analysis of principal components obviously subdivided the sample collection into seven distinct groups centered on key ancestors and regions of origin of the germplasm. Genetic diversity among the populations was primarily within population (68 vs. 32%). Mean LD values across the entire population sample decayed below r2 of 0.11 after 1 cM. LD decay of genomes A and B of Iranian durum wheat landrace is approximately 2-3 cM (r2 = 0.11) and approximately 0.5 cM (r2 = 0.12), respectively. Altogether, low LD decay, a high number of subpopulations, and the high existence of genetic diversity among and within populations were characteristics of the Iranian durum landrace collection. Hence, the existing genetic diversity within the population can be associated with the very long evolutionary history of plants in Iran. The populations we studied are hence presented as a valuable resource that can be used in basic and applied research in durum wheat breeding.

An Optimization Program to Help Practices Assess Data Quality and Workflow With Their Electronic Medical Records: Observational Study.

BACKGROUND: Electronic medical record (EMR) adoption among Canadian primary care physicians continues to grow. In Ontario, >80% of primary care providers now use EMRs. Adopting an EMR does not guarantee better practice management or patient care; however, EMR users must understand how to effectively use it before they can realize its full benefit. OntarioMD developed an EMR Practice Enhancement Program (EPEP) to overcome challenges of clinicians and staff in finding time to learn a new technology or workflow. EPEP deploys practice consultants to work with clinicians onsite to harness their EMR toward practice management and patient care goals. OBJECTIVE: This paper aims to illustrate the application of the EPEP approach to address practice-level factors that impede or enhance the effective use of EMRs to support patient outcomes and population health. The secondary objective is to draw attention to the potential impact of this practice-level work to population health (system-level), as priority population health indicators are addressed by quality improvement work at the practice-level. METHODS: EPEP's team of practice consultants work with clinicians to identify gaps in their knowledge of EMR functionality, analyze workflow, review EMR data quality, and develop action plans with achievable tasks. Consultants establish baselines for data quality in key clinical indicators and EMR proficiency using OntarioMD-developed maturity assessment tools. We reassessed and compared postengagement, data quality, and maturity. Three examples illustrating the EPEP approach and results are presented to illuminate strengths, limitations, and implications for further analysis. In each example, a different consultant was responsible for engaging with the practice to conduct the EPEP method. No standard timeframe exists for an EPEP engagement, as requirements differ from practice to practice, and EPEP tailors its approach and timeframe according to the needs of the practice. RESULTS: After presenting findings of the initial data quality review, workflow, and gap analysis to the practice, consultants worked with practices to develop action plans and begin implementing recommendations. Each practice had different objectives in engaging the EPEP; here, we compared improvements across measures that were common priorities among all 3-screening (colorectal, cervical, and breast), diabetes diagnosis, and documentation of the smoking status. Consultants collected postengagement data at intervals (approximately 6, 12, and 18 months) to assess the sustainability of the changes. The postengagement assessment showed data quality improvements across several measures, and new confidence in their data enabled practices to implement more advanced functions (such as toolbars) and targeted initiatives for subpopulations of patients. CONCLUSIONS: Applying on-site support to analyze gaps in EMR knowledge and use, identify efficiencies to improve workflow, and correct data quality issues can make dramatic improvements in a practice's EMR proficiency, allowing practices to experience greater benefit from their EMR, and consequently, improve their patient care.

Analysis of protein-protein interaction network based on transcriptome profiling of ovine granulosa cells identifies candidate genes in cyclic recruitment of ovarian follicles.

After pubertal, cohort of small antral follicles enters to gonadotrophin-sensitive development, called recruited follicles. This study was aimed to identify candidate genes in follicular cyclic recruitment via analysis of protein-protein interaction (PPI) network. Differentially expressed genes (DEGs) in ovine granulosa cells of small antral follicles between follicular and luteal phases were accumulated among gene/protein symbols of the Ensembl annotation. Following directed graphs, PTPN6 and FYN have the highest indegree and outdegree, respectively. Since, these hubs being up-regulated in ovine granulosa cells of small antral follicles during the follicular phase, it represents an accumulation of blood immune cells in follicular phase in comparison with luteal phase. By contrast, the up-regulated hubs in the luteal phase including CDK1, INSRR and TOP2A which stimulated DNA replication and proliferation of granulosa cells, they known as candidate genes of the cyclic recruitment.

Transcriptome analysis of ovine granulosa cells reveals differences between small antral follicles collected during the follicular and luteal phases.

Ovarian follicular growth occurs in both the follicular and luteal phases of the estrous cycle but in very different endocrine contexts. In both phases, many small antral follicles with similar morphologic and histologic characteristics are present within the ovaries as a reserve for the terminal folliculogenesis. However, there are several gaps in our molecular knowledge of the gene expression profiles of small antral follicles in the follicular and luteal phases. The aim of the present study was to use RNA sequencing to compare and analyze the global transcriptional profile of ovine granulosa cells collected from small antral follicles (1-3 mm) either during the follicular or the luteal phase of the estrous cycle, with the hypothesis that they should be differential. We identified 663 genes whose mRNA was differentially expressed or accumulated in the granulosa cell layer of small antral follicles in the two phases. A comprehensive interpretation of these data was performed through integrative analyses (Gene Ontology, Ingenuity Pathway Analysis) and the exploitation of already available transcriptomic data on follicular growth and atresia. In particular, we observed that the contrasted endocrine context between follicular and luteal phases may have an impact on estradiol, follicle-stimulating hormone (FSH), and on the activin/inhibin signaling pathways. Furthermore, we reveal the possible initiation of early follicular atresia in small antral follicles during the follicular phase in interaction with the presence of immune cells. This study provides new insights into the gene expression profile in ovine granulosa cells, and we suggest that these molecular changes may have an implication at the time of follicle selection.