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The purpose of the study was to ascertain what evaluation practices were being utilized for vocational programs and also to apply a cost-effectiveness model to four program areas offered in Kansas area vocational-technical (VT) schools. Cost and benefit data for the study were obtained from the Kansas State Department of Education, Vocational Division, Topeka. On the basis of multiple regression analysis, annual post-secondary vocational training costs in Kansas area VT schools in any of the four program areas were investigated (agriculture, business, health, and trade and industrial occupations). The annual earnings difference between post-secondary and secondary graduates of Kansas area VT schools was $983. Investments in post-secondary vocational programs were highly desirable in all four program areas, by utilizing both the benefits and costs of vocational programs more economically feasible decisions could be made, and considerations other than investment criteria may be taken into account by the decision maker. (AG)

Rationale, aims and objectives To describe primary care providers' (PCP) attitudes about the impact of a mature, commercial electronic health records (EHR) on clinical practice in settings with experience using the system and to evaluate whether a provider's propensity to adopt new technologies is associated with more favourable perceptions. Method We surveyed PCPs in 11 practices affiliated with three health systems in Texas. Most practices had greater than 5 years of experience with the Epic EHR. The effect of early adopter of technology status was evaluated using logistic regression. Results One hundred forty-six PCPs responded (70%). Most thought the EHR had a positive impact on routine tasks, such as prescription refills (94%), whereas fewer agreed for complex tasks, such as delivery of guideline-concordant care for chronic illnesses (51%). Two-thirds (62%) thought it interfered with eye contact with patients, and 40% reported that it interfered with in-visit communication. Early adopters of technology reported greater positive effects of the EHR, even after adjusting for age, ranging from 2% to 15% higher on satisfaction ratings. Conclusion PCPs practicing in settings with considerable experience using a common commercial EHR identified many positive effects, as well as two key areas for improvement – patient centredness and intelligent decision support. Providers with a propensity to adopt new technologies have more favourable perceptions of the EHR.

Statistical Analysis of Mixed-Ploidy Populations (StAMPP) is a freely available R package for calculation of population structure and differentiation based on single nucleotide polymorphism (SNP) genotype data from populations of any ploidy level, and/or mixed-ploidy levels. StAMPP provides an advance on previous similar software packages, due to an ability to calculate pairwise FST values along with confidence intervals, Nei's genetic distance and genomic relationship matrixes from data sets of mixed-ploidy level. The software code is designed to efficiently handle analysis of large genotypic data sets that are typically generated by high-throughput genotyping platforms. Population differentiation studies using StAMPP are broadly applicable to studies of molecular ecology and conservation genetics, as well as animal and plant breeding.

Genomic selection (GS) is a powerful method for exploitation of DNA sequence polymorphisms in breeding improvement, through the prediction of breeding values based on all markers distributed genome-wide. Forage grasses and legumes provide important targets for GS implementation, as many key traits are difficult or expensive to assess, and are measured late in the breeding cycle. Generic attributes of forage breeding programmes are described, along with status of genomic resources for a representative species group (ryegrasses). Two schemes for implementing GS in ryegrass breeding are described. The first requires relatively little modification of current schemes, but could lead to significant reductions in operating cost. The second scheme would allow two rounds of selection for key agronomic traits within a time period previously required for a single round, potentially leading to doubling of genetic gain rate, but requires a purpose-designed reference population. In both schemes, the limited extent of linkage disequilibrium (LD), which is the major challenge for GS implementation in ryegrass breeding, is addressed. The strategies also incorporate recent advances in DNA sequencing technology to minimize costs.

Potato ( L.) breeders consider a large number of traits during cultivar development and progress in conventional breeding can be slow. There is accumulating evidence that some of these traits, such as yield, are affected by a large number of genes with small individual effects. Recently, significant efforts have been applied to the development of genomic resources to improve potato breeding, culminating in a draft genome sequence and the identification of a large number of single nucleotide polymorphisms (SNPs). The availability of these genome-wide SNPs is a prerequisite for implementing genomic selection for improvement of polygenic traits such as yield. In this review, we investigate opportunities for the application of genomic selection to potato, including novel breeding program designs. We have considered a number of factors that will influence this process, including the autotetraploid and heterozygous genetic nature of potato, the rate of decay of linkage disequilibrium, the number of required markers, the design of a reference population, and trait heritability. Based on estimates of the effective population size derived from a potato breeding program, we have calculated the expected accuracy of genomic selection for four key traits of varying heritability and propose that it will be reasonably accurate. We compared the expected genetic gain from genomic selection with the expected gain from phenotypic and pedigree selection, and found that genetic gain can be substantially improved by using genomic selection.

With 1 figure and 1 table Abstract Potato cyst nematode (PCN) is a major pest of potato crops. Marker-assisted selection of PCN-resistant cultivars is consequently a key objective of many potato breeding programmes. The genetic marker TG689, linked to the resistance gene H1, is the current marker of choice for the prediction of PCN resistance. Polymorphism at TG689 was evaluated across 373 cultivars from Australian and Scottish breeding programmes, revealing the loss of association between the predictive allele and trait locus. Two recently identified genetic markers flanking the H1 locus were then evaluated for association with PCN-resistant phenotypes across 73 cultivars. With a single exception, presence or absence of a 452-bp amplicon for the 57R marker was predictive for the target phenotype. Further evaluation of the 57R marker on more than 300 cultivars from the Australian and Scottish potato breeding programmes provided additional evidence for robust diagnostic capability. To enable routine implementation, the 57R marker was converted into a high-throughput, fluorochrome detection–based assay and screened across a broader collection of parental cultivars and advanced breeding selections for the prediction of PCN resistance.

Perennial ryegrass is an important pasture grass in temperate regions. As a forage biomass-generating species, plant architecture-related characters provide key objectives for breeding improvement.In silicocomparative genomics analysis predicted colocation between a previously identified QTL for plant type (erect versus prostrate growth) and the ortholocus of the riceOsABCG5 gene (LpABCG5), as well as related QTLs in other Poaceae species. Sequencing of anLpABCG5-containing BAC clone identified presence of a paralogue (LpABCG6) in the vicinity of theLpABCG5 locus, in addition to three other gene-like sequences. Comparative genomics involving five other 5 grass species (rice,Brachypodium, sorghum, maize, and foxtail millet) revealed conserved microsynteny in the ABCG5 ortholocus-flanking region. Gene expression profiling and phylogenetic analysis suggested that the two paralogues are functionally distinct. Fourteen additional ABCG5 gene family members, which may interact with theLpABCG5 gene, were identified through sequencing of transcriptomes from perennial ryegrass leaf, anther, and pistils. A larger-scale phylogenetic analysis of the ABCG gene family suggested conservation between major branches of the Poaceae family. This study identified theLpABCG5 gene as a candidate for the plant type determinant, suggesting that manipulation of gene expression may provide valuable phenotypes for perennial ryegrass breeding.

The recent emergence of a herpes-like virus in both farmed and wild populations of abalone in Victoria, Australia, has been associated with high mortality rates in animals of all ages. Based on viral genome sequence information, a virus-specific real-time TaqMan assay was devel- oped for detection and identification of the abalone herpes-like virus (AbHV). The assay was shown to be specific as it did not detect other viruses from either the Herpesvirales or the Iridovirales orders which have genome sequence similarities. However, the TaqMan assay was able to detect DNA from the Taiwanese abalone herpes-like virus, suggesting a relationship between the Taiwanese and Aus- tralian viruses. In addition, the assay detected

The most serious foliar disease of perennial ryegrass (Lolium perenne L.) is crown rust (caused by Puccinia coronata Corda f.sp. lolii Brown). Progress in resistance breeding using recurrent selection has been slow, due to lack of genetic knowledge. Puccinia coronata is a basidiomycete fungus with a complex life-cycle involving both asexual and sexual reproductive modes. Pathotype variation may exist, but confi rmation is complicated by the outbreeding nature of the host grass and consequent intrapopulation diversity. Qualitative and quantitative resistance mechanisms may hence be due to either major resistance genes responding to mixed pathogen populations, or minor (quantitative) resistance genes. Advances in molecular biology have permitted analysis of both host and pathogen genetics. Development of pathogen-derived simple sequence repeat (SSR) genetic markers allowed detailed analysis of genetic variation, as well as generation of homogenized inoculum for detailed trait-dissection studies. Multiple genomic regions were identifi ed as containing quantitative trait loci (QTLs) for pathogen resistance, and specifi c single nucleotide polymorphism (SNP) markers for defense response (DR) and disease resistance (R) genes have been evaluated for QTL co-location. The current knowledge status of the crown rust pathogen and genetics of host resistance is reviewed, as well as future prospects for facilitated rust resistance breeding.

Genomic prediction is becoming a popular plant breeding method to predict the genetic merit of lines. While some genomic prediction results have been reported in canola, none have been evaluated for blackleg disease. Here, we report genomic prediction for seedling emergence, survival rate, and internal infection), using 532 Spring and Winter canola lines. These lines were phenotyped in two replicated blackleg disease nurseries grown at Wickliffe and Green Lake, Victoria, Australia. A transcriptome genotyping-by-sequencing approach revealed 98,054 single nucleotide polymorphisms (SNPs) after quality control. We assessed various genomic prediction scenarios based on Genomic Best Linear Unbiased Prediction (GBLUP), BayesR and BayesRC, which can make use of prior quantitative trait loci information, via cross-validation. Clustering based on genomic relationships showed that Winter and Spring lines were genetically distinct, indicating limited gene flow between sets. Genetic correlations within traits between Spring and Winter lines ranged from 0.68 and 0.90 (mean = 0.76). Based on GBLUP in the whole population, moderate to high genomic prediction accuracies were achieved within environments (0.35–0.74) and were reduced across environments (0.28–0.58). Prediction accuracy within the Spring set ranged from 0.30–0.69, and from 0.19–0.71 within the Winter set. The BayesR model resulted in slightly lower accuracy to GBLUP. The proportion of genetic variance explained by known blackleg quantitative trait loci (QTL) was < 30%, indicating that there is a large reservoir of genetic variation in blackleg traits that remains to be discovered, but can be captured with genomic prediction. However, providing prior information of known QTL in the BayesRC method resulted in an increased prediction accuracy for survival and internal infection, particularly with Spring lines. Overall, these promising results indicate that genomic prediction will be a valuable tool to make use of all genetic variation to improve blackleg resistance in canola.

Genetic map construction and identification of quantitative trait loci (QTLs) for blackleg resistance were performed for four mapping populations derived from five different canola source cultivars. Three of the populations were generated from crosses between single genotypes from the blackleg-resistant cultivars Caiman, Camberra and (AV)Sapphire and the blackleg-susceptible cultivar Westar(10). The fourth population was derived from a cross between genotypes from two blackleg resistant varieties (Rainbow and (AV)Sapphire). Different types of DNA-based markers were designed and characterised from a collection of 20,000 EST sequences generated from multiple Brassica species, including a new set of 445 EST-SSR markers of high value to the international community. Multiple molecular genetic marker systems were used to construct linkage maps with locus numbers varying between 219 and 468, and coverage ranging from 1173 to 1800 cM. The proportion of polymorphic markers assigned to map locations varied from 70 to 89% across the four populations. Publicly available simple sequence repeat markers were used to assign linkage groups to reference nomenclature, and a sub-set of mapped markers were also screened on the Tapidor x Ningyou (T x N) reference population to assist this process. QTL analysis was performed based on percentage survival at low and high disease pressure sites. Multiple QTLs were identified across the four mapping populations, accounting for 13-33% of phenotypic variance (V (p)). QTL-linked marker data are suitable for implementation in breeding for disease resistance in Australian canola cultivars. However, the likelihood of shifts in pathogen race structure across different geographical locations may have implications for the long-term durability of such associations.

Assignment or exclusion of an individual to specific populations or cultivars based on molecular genetic markers provides an attractive approach for varietal identification at the individual level in cross-pollinated plant species. The objectives of this study were (i) to explore the molecular diversity and relationships between Australasian perennial ryegrass (Lolium perenne L.) populations; (ii) to investigate accuracy of assignment of individuals to different types of populations including ecotypic, nonrestricted- and restricted-based cultivars; and (iii) to determine the effect of variable number of SSR loci and different statistical analysis methods on assignment accuracy. Eight forage perennial ryegrass populations comprising 48 individual plants per population were genotyped with 29 simple sequence repeat (SSR) marker loci. The number of alleles per locus ranged from 3.72 to 6.76. The mean observed heterozygosity varied from 0.419 to 0.538. Various genetic distance estimates and clustering methods obtained results consistent with breeding history. Genetic variation among (8.7%) and within populations (91.3%) was significant. Accuracy of individual assignment differed by population type, and it was higher (>90%) for restricted-based cultivars than for ecotypic and nonrestricted-based populations. These results indicate that SSR marker profiles can be effectively used to assign individuals for outbreeding populations such as perennial ryegrass. The approach used in this study may be useful for ryegrass germplasm management issues such as cultivar identification at the individual level.

Objectives While antidepressant medications are currently used during conception, gestation and post-partum, considerable uncertainty exists regarding the benefits and harms conferred to mothers and their offspring. A significant body of evidence has focused on antidepressant use during pregnancy and post-partum. However, it is difficult to know if this translates to specific populations. Women receiving treatment for infertility are especially vulnerable to symptoms of depression and adverse perinatal outcomes. This systematic review aimed to determine the effects of antidepressants taken during the perinatal period by women receiving fertility treatment on conception, birth, and long-term maternal and child health outcomes. Methods We searched MEDLINE, EMBASE, CINAHL, the Cochrane Library, PsycINFO, ProQuest Dissertation & Theses, and Pubmed databases from January 1950 to November 2015. Articles were screened for inclusion independently by two reviewers. Studies were included if they enrolled women of reproductive age exposed to pharmacotherapy for depression and infertility at any point during the perinatal period. Results A total of 8587 unique citations, and 83 full-text articles were reviewed. Of these, two randomized controlled trials and two retrospective chart reviews were included in the narrative synthesis. While most studies reported on assisted reproduction processes and birth outcomes, none examined long-term impacts on maternal–child health. The few included studies did not find that antidepressant use by women receiving fertility therapy impacted gamete quality or pregnancy success. Conclusions Currently, no studies address whether pharmacotherapy for the treatment of depression in women undergoing assisted reproduction affects their health or that of their offspring long-term. It appears that much like antidepressant use in fertile women, there are risks associated with both antidepressant use and untreated depression. Decisions regarding the treatment of depression should be made taking into account clinical presentation and illness severity. Given the complexities of conducting research in this population, future research should attempt to leverage health registry data, to increase sample sizes and follow mothers and children longitudinally.

En Valles Altos de México (de 2200 a 2600 msnm), el área sembrada con maíz (Zea mays L.) en condiciones de riego, humedad residual o precipitaciones pluviales favorables, es aproximadamente de 700 mil hectáreas (Turrent, 1994). De esta superficie, se estima que en al menos 300,000 hectáreas se podrían sembrar híbridos de alto rendimiento. El rendimiento promedio que se obtiene en estas condiciones es 3.5 t ha-1 de grano de maíz, aunque puede incrementarse a 6.0 t ha-1 si se siembran semillas mejoradas y se aplican las tecnologías de producción desarrolladas por el Instituto Nacional de Investigaciones Forestales, Agrícolas y Pecuarias (INIFAP).

The availability of expressed sequence data derived from gene discovery programs enables mining for simple sequence repeats (SSR), providing useful genetic markers for crop improvement. These markers are inexpensive, require minimal labour to produce and can frequently be associated with functionally annotated genes. This study presents the development and characterization of 24 expressed sequence tags (EST)-SSR markers from Brassica napus and their cross-amplification across Brassica species. The markers show reliable amplification, genome specificity and considerable polymorphism, demonstrating the utility of EST-SSRs for genetic analysis of wild Brassica populations and commercial Brassica germplasm.

Development of accurate high-throughput molecular marker systems such as SNPs permits evaluation and selection of favourable gene variants to accelerate elite varietal production. SNP discovery in perennial ryegrass has been based on PCR amplification and sequencing of multiple amplicons designed to scan all components of the transcriptional unit. Full-length genes (with complete intron-exon structure and promoter information) corresponding to well-defined biochemical functions such as lignin biosynthesis and oligosaccharide metabolism are ideal for complete SNP haplotype determination. Multiple SNPs at regular intervals across the transcriptional unit were detected within and between the heterozygous parents and validated in the progeny of the F (1)(NA(6) x AU(6)) genetic mapping family. Haplotype structures in the parental genotypes were defined and haplotypic abundance, structure and variation were assessed in diverse germplasm sources. Decay of LD to r (2) values of c. 0.2 typically occurs over 500-3,000 bp, comparable with gene length and with little apparent variation between diverse, ecotypic and varietal population sub-groups. Similar patterns were revealed as limited blocks of intragenic LD. The results are compatible with the reproductive biology of perennial ryegrass and the effects of large ancestral population size. This analysis provides crucial information to validate strategies for correlation of haplotypic diversity and phenotypic variation through association mapping.

The availability of expressed sequence data derived from gene discovery programs enables mining for simple sequence repeats (SSR), providing useful genetic markers for crop improvement. These markers are inexpensive, require minimal labour to produce and can frequently be associated with functionally annotated genes. This study presents the development and characterization of 16 expressed sequence tags (EST)-SSR markers from Brassica juncea and their cross-amplification across Brassica species. Sixteen primer pairs were assessed for polymorphism in all genomes of the diploid and amphidiploid Brassica species. The markers show reliable amplification, considerable polymorphism and high transferability across species, demonstrating the utility of EST-SSRs for genetic analysis of brassicas.

Field pea (Pisum sativum L.) is an important grain legume consumed both as human food and animal feed. However, productivity in low rainfall regions can be significantly reduced by inferior soils containing high levels of boron and/or salinity. Furthermore, powdery mildew (Erysiphe pisi) disease also causes significant yield loss in warmer regions. Breeding for tolerance to these abiotic and biotic stresses are major aims for pea breeding programs and the application of molecular markers for these traits could greatly assist in developing improved germplasm at a faster rate. The current study reports the evaluation of a near diagnostic marker, PsMlo, associated with powdery mildew (PM) resistance and boron (B) tolerance as well as linked markers associated with salinity tolerance across a diverse set of pea germplasm. The PsMlo1 marker predicted the PM and B phenotypic responses with high levels of accuracy (>80%) across a wide range of field pea genotypes, hence offers the potential to be widely adapted in pea breeding programs. In contrast, linked markers for salinity tolerance were population specific, therefore, application of these markers would be suitable to relevant crosses within the program. Our results also suggest that there are possible new sources of salt tolerance present in field pea germplasm that could be further exploited.

A targeted amplicon-based genotyping-by-sequencing approach has permitted cost-effective and accurate discrimination between ryegrass species (perennial, Italian and inter-species hybrid), and identification of cultivars based on bulked samples. Perennial ryegrass and Italian ryegrass are the most important temperate forage species for global agriculture, and are represented in the commercial pasture seed market by numerous cultivars each composed of multiple highly heterozygous individuals. Previous studies have identified difficulties in the use of morphophysiological criteria to discriminate between these two closely related taxa. Recently, a highly multiplexed single nucleotide polymorphism (SNP)-based genotyping assay has been developed that permits accurate differentiation between both species and cultivars of ryegrasses at the genetic level. This assay has since been further developed into an amplicon-based genotyping-by-sequencing (GBS) approach implemented on a second-generation sequencing platform, allowing accelerated throughput and ca. sixfold reduction in cost. Using the GBS approach, 63 cultivars of perennial, Italian and interspecific hybrid ryegrasses, as well as intergeneric Festulolium hybrids, were genotyped. The genetic relationships between cultivars were interpreted in terms of known breeding histories and indistinct species boundaries within the Lolium genus, as well as suitability of current cultivar registration methodologies. An example of applicability to quality assurance and control (QA/QC) of seed purity is also described. Rapid, low-cost genotypic assays provide new opportunities for breeders to more fully explore genetic diversity within breeding programs, allowing the combination of novel unique genetic backgrounds. Such tools also offer the potential to more accurately define cultivar identities, allowing protection of varieties in the commercial market and supporting processes of cultivar accreditation and quality assurance.

Field pea (Pisum sativum L.) is a grain legume crop that is cultivated for either human or livestock consumption. Development of varieties adapted to damaging abiotic and biotic stresses is a major objective for field pea breeding. Bacterial blight is a serious disease caused by the pathogenic agents Pseudomonas syringae pv. syringae and Pseudomonas syringae pv. pisi. A recombinant inbred line (RIL) genetic mapping population was generated by crossing the susceptible genotype Kaspa to the resistant genotype PBA Oura. Previously described sets of single-nucleotide polymorphism and simple sequence repeat markers were assigned to a genetic linkage map of the Kaspa × PBA Oura population, which contained 358 markers spanning 1070 cM with an average marker density of 1 locus per 3.0 cM. Combination with multiple previously published maps (including that of Kaspa × Parafield) subsequently generated an integrated structure with much higher marker density of 1 locus per 0.85 cM. The Kaspa × PBA Oura and Kaspa × Parafield RILs were screened at the seedling stage for resistance to both pathovars. Totals of four and two QTLs for resistance to infection by P. syringae pv. syringae were detected in the Kaspa × Parafield and Kaspa × PBA Oura populations, respectively. A single common genomic region associated with P. syringae pv. pisi resistance was identified in both mapping populations. To integrate information on bacterial blight resistance from various QTL mapping studies, the relevant regions were extrapolated on to the integrated map through use of common flanking markers. The resources generated in this study will support map enhancement, identification of marker-trait associations, genomics-assisted breeding, map-based gene isolation and comparative genetics.

Relatively modest levels of genetic gain have been achieved in conventional ryegrass breeding when compared to cereal crops such as maize, current estimates indicating an annual improvement of 0.25-0.6% in dry matter production. This property is partially due to an inability to effectively exploit heterosis through the formation of F1 hybrids. Controlled crossing of ryegrass lines from geographically distant origins has demonstrated the occurrence of heterosis, which can result in increases of dry matter production in the order of 25%. Although capture of hybrid vigour offers obvious advantages for ryegrass cultivar production, to date there have been no effective and commercially suitable methods for obtaining high proportions of F1 hybrid seed. Continued advances in fine-scale genetic and physical mapping of the gametophytic self-incompatibility (SI) loci (S and Z) of ryegrasses are likely in the near future to permit the identification of closely linked genetic markers that define locus-specific haplotypes, allowing prediction of allelic variants and hence compatibility between different plant genotypes. Given the availability of such information, a strategy for efficient generation of ryegrass cultivars with a high proportion of F1 hybrid individuals has been simulated, which is suitable for commercial implementation. Through development of two parental pools with restricted diversity at the SI loci, relative crossing compatibility between pools is increased. Based on simulation of various levels of SI allele diversity restriction, the most effective scheme will generate 83.33% F1 hybrids. Results from the study, including the impact of varying flowering time, are discussed along with a proposed breeding design for commercial application.

Background Field pea (Pisum sativum L.) is a cool-season grain legume that is cultivated world-wide for both human consumption and stock-feed purposes. Enhancement of genetic and genomic resources for field pea will permit improved understanding of the control of traits relevant to crop productivity and quality. Advances in second-generation sequencing and associated bioinformatics analysis now provide unprecedented opportunities for the development of such resources. The objective of this study was to perform transcriptome sequencing and characterisation from two genotypes of field pea that differ in terms of seed and plant morphological characteristics. Results Transcriptome sequencing was performed with RNA templates from multiple tissues of the field pea genotypes Kaspa and Parafield. Tissue samples were collected at various growth stages, and a total of 23 cDNA libraries were sequenced using Illumina high-throughput sequencing platforms. A total of 407 and 352 million paired-end reads from the Kaspa and Parafield transcriptomes, respectively were assembled into 129,282 and 149,272 contigs, which were filtered on the basis of known gene annotations, presence of open reading frames (ORFs), reciprocal matches and degree of coverage. Totals of 126,335 contigs from Kaspa and 145,730 from Parafield were subsequently selected as the reference set. Reciprocal sequence analysis revealed that c. 87 % of contigs were expressed in both cultivars, while a small proportion were unique to each genotype. Reads from different libraries were aligned to the genotype-specific assemblies in order to identify and characterise expression of contigs on a tissue-specific basis, of which 87 % were expressed in more than one tissue, while others showed distinct expression patterns in specific tissues, providing unique transcriptome signatures. Conclusion This study provided a comprehensive assembled and annotated transcriptome set for field pea that can be used for development of genetic markers, in order to assess genetic diversity, construct linkage maps, perform trait-dissection and implement whole-genome selection strategies in varietal improvement programs, as well to identify target genes for genetic modification approaches on the basis of annotation and expression analysis. In addition, the reference field pea transcriptome will prove highly valuable for comparative genomics studies and construction of a finalised genome sequence. Electronic supplementary material The online version of this article (doi:10.1186/s12864-015-1815-7) contains supplementary material, which is available to authorized users.

The effectiveness of colorectal cancer (CRC) screening is limited by underuse, particularly among underserved populations. Among a racially diverse and socioeconomically disadvantaged cohort of patients, the authors compared the effectiveness of fecal immunochemical test (FIT) outreach and colonoscopy outreach to increase screening participation rates, compared with usual visit-based care.Patients aged 50 to 64 years who were not up-to-date with CRC screening but used primary care services in a large safety-net health system were randomly assigned to mailed FIT outreach (2400 patients), mailed colonoscopy outreach (2400 patients), or usual care with opportunistic visit-based screening (1199 patients). Patients who did not respond to outreach invitations within 2 weeks received follow-up telephone reminders. The primary outcome was CRC screening completion within 12 months after randomization.Baseline patient characteristics across the 3 groups were similar. Using intention-to-screen analysis, screening participation rates were higher for FIT outreach (58.8%) and colonoscopy outreach (42.4%) than usual care (29.6%) (P.001 for both). Screening participation with FIT outreach was higher than that for colonoscopy outreach (P.001). Among responders, FIT outreach had a higher percentage of patients who responded before reminders (59.0% vs 29.7%; P.001). Nearly one-half of patients in the colonoscopy outreach group crossed over to complete FIT via usual care, whereas5% of patients in the FIT outreach group underwent usual-care colonoscopy.Mailed outreach invitations appear to significantly increase CRC screening rates among underserved populations. In the current study, FIT-based outreach was found to be more effective than colonoscopy-based outreach to increase 1-time screening participation. Studies with longer follow-up are needed to compare the effectiveness of outreach strategies for promoting completion of the entire screening process.

Background Fragmentation at random nucleotide locations is an essential process for preparation of DNA libraries to be used on massively parallel short-read DNA sequencing platforms. Although instruments for physical shearing, such as the Covaris S2 focused-ultrasonicator system, and products for enzymatic shearing, such as the Nextera technology and NEBNext dsDNA Fragmentase kit, are commercially available, a simple and inexpensive method is desirable for high-throughput sequencing library preparation. MspJI is a recently characterised restriction enzyme which recognises the sequence motif CNNR (where R = G or A) when the first base is modified to 5-methylcytosine or 5-hydroxymethylcytosine. Results A semi-random enzymatic DNA amplicon fragmentation method was developed based on the unique cleavage properties of MspJI. In this method, random incorporation of 5-methyl-2’-deoxycytidine-5’-triphosphate is achieved through DNA amplification with DNA polymerase, followed by DNA digestion with MspJI. Due to the recognition sequence of the enzyme, DNA amplicons are fragmented in a relatively sequence-independent manner. The size range of the resulting fragments was capable of control through optimisation of 5-methyl-2’-deoxycytidine-5’-triphosphate concentration in the reaction mixture. A library suitable for sequencing using the Illumina MiSeq platform was prepared and processed using the proposed method. Alignment of generated short reads to a reference sequence demonstrated a relatively high level of random fragmentation. Conclusions The proposed method may be performed with standard laboratory equipment. Although the uniformity of coverage was slightly inferior to the Covaris physical shearing procedure, due to efficiencies of cost and labour, the method may be more suitable than existing approaches for implementation in large-scale sequencing activities, such as bacterial artificial chromosome (BAC)-based genome sequence assembly, pan-genomic studies and locus-targeted genotyping-by-sequencing. Electronic supplementary material The online version of this article (doi:10.1186/s12896-015-0139-7) contains supplementary material, which is available to authorized users.