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Abstract Background Bladder cancer is one of the most prevalent malignancies worldwide. However, traditional indicators have limited predictive effects on the clinical outcomes of bladder cancer. The aim of this study was to develop and validate a glycolysis-related gene signature for predicting the prognosis of patients with bladder cancer that have limited therapeutic options. Methods mRNA expression profiling was obtained from patients with bladder cancer from The Cancer Genome Atlas (TCGA) database. Gene set enrichment analysis (GSEA) was conducted to identify glycolytic gene sets that were significantly different between bladder cancer tissues and paired normal tissues. A prognosis-related gene signature was constructed by univariate and multivariate Cox analysis. Kaplan–Meier curves and time-dependent receiver operating characteristic (ROC) curves were utilized to evaluate the signature. A nomogram combined with the gene signature and clinical parameters was constructed. Correlations between glycolysis-related gene signature and molecular characterization as well as cancer subtypes were analyzed. RT-qPCR was applied to analyze gene expression. Functional experiments were performed to determine the role of PKM2 in the proliferation of bladder cancer cells. Results Using a Cox proportional regression model, we established that a 4-mRNA signature (NUP205, NUPL2, PFKFB1 and PKM) was significantly associated with prognosis in bladder cancer patients. Based on the signature, patients were split into high and low risk groups, with different prognostic outcomes. The gene signature was an independent prognostic indicator for overall survival. The ability of the 4-mRNA signature to make an accurate prognosis was tested in two other validation datasets. GSEA was performed to explore the 4-mRNA related canonical pathways and biological processes, such as the cell cycle, hypoxia, p53 pathway, and PI3K/AKT/mTOR pathway. A heatmap showing the correlation between risk score and cell cycle signature was generated. RT-qPCR revealed the genes that were differentially expressed between normal and cancer tissues. Experiments showed that PKM2 plays essential roles in cell proliferation and the cell cycle. Conclusion The established 4‑mRNA signature may act as a promising model for generating accurate prognoses for patients with bladder cancer, but the specific biological mechanism needs further verification.

Selection for resistance against gray leaf spot (GLS) is a major objective in the lupin breeding programs. A segregation ratio of 1:1 (resistant:susceptible) in F8 recombinant inbred lines (RIL8) derived from a cross between a breeding line 83A:476 (resistant to GLS) and a wild accession P27255 (susceptible to GLS) indicated that GLS was controlled by a single major gene. To develop molecular markers linked to GLS, in the beginning, only 11 resistant lines and six susceptible lines from the 83A:476 and P27255 population were genotyped with MFLP markers, and three MFLP markers were identified to be co-segregated with GLS. This method was very efficient, but the markers were located outside of the gene, and could not be used in other germplasms. Then QTL analysis and fine mapping were conducted to identify the gene. Finally, the gene was narrowed down to a 241-kb region containing two disease resistance genes. To further identify the candidate gene, DNA variants between accessions Tanjil (resistant to GLS) and Unicrop (susceptible to GLS) were analyzed. The results indicated that only one SNP was detected in the 241 kb region. This SNP was located in the TMV resistance protein N-like gene region and also identified between 83A:476 and P27255. Genotyping the Tanjil/Unicrop RIL8 population showed that this SNP co-segregated with GLS resistance. The phylogenetic tree analysis of this gene among 18 lupin accessions indicates that Australian resistant breeding line/varieties were clustered into one group and carry two resistant alleles, while susceptible accessions were clustered into different groups.

Wild types of narrow-leaf lupin (Lupinus angustifolius L.) have seed pods that shatter upon maturity, leading to the loss of their seeds before or during the harvest process. Two recessive genes have been incorporated into domesticated cultivars of this species to maximize harvest-ability of the produce. One of these genes is called lentus (le). Two microsatellite - anchored fragment length polymorphism (MFLP) candidate markers were identified as closely linked to the le gene in a recombinant inbred line (RIL) population derived from a domesticated x wild type cross. The candidate MFLP markers were isolated from the gel, re-amplified by PCR, cloned and sequenced. The MFLP polymorphisms were converted into sequence-specific PCR-based markers. Linkage analysis by MapManager indicated that one of the markers, LeM1, was 2.6 centiMorgans (cM) and the other, LeM2, was 1.3 cM from the gene, with both being on the same side. The correlation between the marker genotype and the plant phenotype for the le gene is 95% for the Australian cultivars, and approximately 36% on wild types tested. These markers may be useful in marker assisted selection for the le gene when introgressing wild material into lupin breeding programs.

Lupin (Lupinus angustifolius L.) is the most recently domesticated crop in major agricultural cultivation. Its seeds are high in protein and dietary fibre, but low in oil and starch. Medical and dietetic studies have shown that consuming lupin-enriched food has significant health benefits. We report the draft assembly from a whole genome shotgun sequencing dataset for this legume species with 26.9x coverage of the genome, which is predicted to contain 57,807 genes. Analysis of the annotated genes with metabolic pathways provided a partial understanding of some key features of lupin, such as the amino acid profile of storage proteins in seeds. Furthermore, we applied the NGS-based RAD-sequencing technology to obtain 8,244 sequence-defined markers for anchoring the genomic sequences. A total of 4,214 scaffolds from the genome sequence assembly were aligned into the genetic map. The combination of the draft assembly and a sequence-defined genetic map made it possible to locate and study functional genes of agronomic interest. The identification of co-segregating SNP markers, scaffold sequences and gene annotation facilitated the identification of a candidate R gene associated with resistance to the major lupin disease anthracnose. We demonstrated that the combination of medium-depth genome sequencing and a high-density genetic linkage map by application of NGS technology is a cost-effective approach to generating genome sequence data and a large number of molecular markers to study the genomics, genetics and functional genes of lupin, and to apply them to molecular plant breeding. This strategy does not require prior genome knowledge, which potentiates its application to a wide range of non-model species.

Background: Molecular marker-assisted breeding provides an efficient tool to develop improved crop varieties. A major challenge for the broad application of markers in marker-assisted selection is that the marker phenotypes must match plant phenotypes in a wide range of breeding germplasm. In this study, we used the legume crop species Lupinus angustifolius (lupin) to demonstrate the utility of whole genome sequencing and re-sequencing on the development of diagnostic markers for molecular plant breeding. Results: Nine lupin cultivars released in Australia from 1973 to 2007 were subjected to whole genome re-sequencing. The re-sequencing data together with the reference genome sequence data were used in marker development, which revealed 180,596 to 795,735 SNP markers from pairwise comparisons among the cultivars. A total of 207,887 markers were anchored on the lupin genetic linkage map. Marker mining obtained an average of 387 SNP markers and 87 InDel markers for each of the 24 genome sequence assembly scaffolds bearing markers linked to 11 genes of agronomic interest. Using the R gene PhtjR conferring resistance to phomopsis stem blight disease as a test case, we discovered 17 candidate diagnostic markers by genotyping and selecting markers on a genetic linkage map. A further 243 candidate diagnostic markers were discovered by marker mining on a scaffold bearing non-diagnostic markers linked to the PhtjR gene. Nine out from the ten tested candidate diagnostic markers were confirmed as truly diagnostic on a broad range of commercial cultivars. Markers developed using these strategies meet the requirements for broad application in molecular plant breeding. Conclusions: We demonstrated that low-cost genome sequencing and re-sequencing data were sufficient and very effective in the development of diagnostic markers for marker-assisted selection. The strategies used in this study may be applied to any trait or plant species. Whole genome sequencing and re-sequencing provides a powerful tool to overcome current limitations in molecular plant breeding, which will enable plant breeders to precisely pyramid favourable genes to develop super crop varieties to meet future food demands. [ABSTRACT FROM AUTHOR]

Background: In the last 30 years, a number of DNA fingerprinting methods such as RFLP, RAPD, AFLP, SSR, DArT, have been extensively used in marker development for molecular plant breeding. However, it remains a daunting task to identify highly polymorphic and closely linked molecular markers for a target trait for molecular marker-assisted selection. The next-generation sequencing (NGS) technology is far more powerful than any existing generic DNA fingerprinting methods in generating DNA markers. In this study, we employed a grain legume crop Lupinus angustifolius (lupin) as a test case, and examined the utility of an NGS-based method of RAD (restriction-site associated DNA) sequencing as DNA fingerprinting for rapid, cost-effective marker development tagging a disease resistance gene for molecular breeding. Results: Twenty informative plants from a cross of RxS (disease resistant x susceptible) in lupin were subjected to RAD single-end sequencing by multiplex identifiers. The entire RAD sequencing products were resolved in two lanes of the 16-lanes per run sequencing platform Solexa HiSeq2000. A total of 185 million raw reads, approximately 17 Gb of sequencing data, were collected. Sequence comparison among the 20 test plants discovered 8207 SNP markers. Filtration of DNA sequencing data with marker identification parameters resulted in the discovery of 38 molecular markers linked to the disease resistance gene Lanr1. Five randomly selected markers were converted into cost-effective, simple PCR-based markers. Linkage analysis using marker genotyping data and disease resistance phenotyping data on a F8 population consisting of 186 individual plants confirmed that all these five markers were linked to the R gene. Two of these newly developed sequence-specific PCR markers, AnSeq3 and AnSeq4, flanked the target R gene at a genetic distance of 0.9 centiMorgan (cM), and are now replacing the markers previously developed by a traditional DNA fingerprinting method for marker-assisted selection in the Australian national lupin breeding program. Conclusions: We demonstrated that more than 30 molecular markers linked to a target gene of agronomic trait of interest can be identified from a small portion (1/8) of one sequencing run on HiSeq2000 by applying NGS based RAD sequencing in marker development. The markers developed by the strategy described in this study are all co-dominant SNP markers, which can readily be converted into high throughput multiplex format or low-cost, simple PCR-based markers desirable for large scale marker implementation in plant breeding programs. The high density and closely linked molecular markers associated with a target trait help to overcome a major bottleneck for implementation of molecular markers on a wide range of germplasm in breeding programs. We conclude that application of NGS based RAD sequencing as DNA fingerprinting is a very rapid and cost-effective strategy for marker development in molecular plant breeding. The strategy does not require any prior genome knowledge or molecular information for the species under investigation, and it is applicable to other plant species. [ABSTRACT FROM AUTHOR]

The reduced pod shattering gene tardus is one of the most important domestication genes in narrow-leafed lupin ( Lupinus angustifolius L.). In development of a molecular marker linked to the tardus gene, we incorporated the concept of marker validation during the initial candidate marker identification stage. Four dominant microsatellite-anchored fragment length polymorphism (MFLP) markers were identified as candidate markers based on their banding patterns in an F recombination inbred line (RIL) population. One specific marker best correlating with phenotypes in the representative germplasm was selected and converted to a simple PCR-based marker. This established marker, designated as 'TaLi', is located at a distance of 1.4 cM from the tardus gene. DNA sequencing revealed six insertion/deletion sites between the non-shattering marker allele and the shattering marker allele. Validation of marker TaLi on 25 domesticated commercial cultivars and 125 accessions of the lupin core collection found a 94% marker and tardus phenotype match. Marker TaLi is the first simple PCR-based marker that can be widely used for non-shattering pod selection in narrow-leafed lupin breeding program. [ABSTRACT FROM AUTHOR]

Selection for anthracnose disease resistance is one of the top priorities in white lupin ( Lupinus albus) breeding programs. A cross was made between a landrace P27174 (resistant to anthracnose) and a cultivar Kiev Mutant (susceptible). The progeny was advanced to F8 recombinant inbred lines (RILs). Disease tests on the RIL population from field trials over 2 years indicated that the disease resistance in P27174 was polygenic controlled. A modified selective genotyping strategy was applied in the development of molecular markers linked to quantitative loci conferring anthracnose diseases resistance. Eight individual plants representing high level of anthracnose resistance (HR), eight plants representing susceptibility (S), together with eight lines representing medium level of anthracnose resistance (MR), were subjected to DNA fingerprinting by Microsatellite-anchored Fragment Length Polymorphisms (MFLP). Six MFLP polymorphisms, which had the banding pattern matching the HR plants and the S plants, were identified as candidate markers linked to quantitative loci conferring anthracnose resistance. The six candidate MFLP markers were delineated into three groups based on their banding variation on the eight MR plants. One candidate MFLP marker each from the three groups was selected, cloned, sequenced, and converted into co-dominant, sequence-specific PCR markers. These three markers, designated as WANR1, WANR2 and WANR3, were tested on a segregating population containing 189 F8 RILs. The disease phenotyping data and the marker genotyping data on the F8 RILs were merged and analysed by the JMP software using the ‘fit-model’ function, which revealed that 71% of the phenotypic variation was controlled by genetic factors, while the other 29% of the phenotypic variation was due to environmental factors and environment × genotype interactions. On individual marker basis, marker WANR1 conditioned 39% of phenotypic variations of anthracnose resistance, followed by marker WANR2 with 8%, and WANR3 with 12%. Further analysis showed that WANR2 and WANR3 were on the same linkage group with a genetic distance of 15.3 cM. The combination of the two markers WANR1 and WANR3 explained 51% out from the 71% of the genetic controlled variations for disease resistance, indicating that the two QTLs working additively for anthracnose disease resistance. A simulation of marker-assisted selection on the F8 RIL population using the two markers WANR1 and WANR3 identified 42 out of the 189 RILs being homozygous for resistance-allele bands for both markers, and 41 of them showed disease severity below 3.0 on the 1 (highly resistant) to 5 (susceptible) scale. The two markers WANR1 and WANR3 have now been implemented for marker-assisted selection for anthracnose resistance in the L. albus breeding program in Australia. [ABSTRACT FROM AUTHOR]

Seeds and plants of wild type Lupinus albus are bitter and contain high level of alkaloids. During domestication, at least three genes conferring low-alkaloid content were identified and incorporated into commercial varieties. Australian lupin breeders exclusively utilize one of these sweetness genes, “ pauper”, in all varieties to prevent possible bitterness contamination via out-crossing. A cross was made between a sweet variety Kiev Mutant (containing pauper gene) and a bitter type landrace P27174, and the population was advanced into F8 recombinant inbred lines (RILs). Twenty-four plants representing sweetness and bitterness were subjected to DNA fingerprinting by the microsatellite-anchored fragment length polymorphism (MFLP) technique. A dominant polymorphism was discovered in an MFLP fingerprint. The MFLP marker was converted into a co-dominant, sequence-specific, simple PCR-based marker. Linkage analysis by the software program MapManager with marker score data and alkaloid phenotyping data from a segregating population containing 190 F8 RILs indicated that the marker is linked to the pauper gene at the genetic distance of 1.4 centiMorgans (cM). This marker, which is designated as “PauperM1”, is capable of distinguishing the pauper gene from the other two low-alkaloid genes exiguus and nutricius. Validation on germplasm from the Australian lupin breeding program showed that the banding pattern of the marker PauperM1 is consistent with the alkaloid genotyping on a wide range of domesticated varieties and breeding lines. The PauperM1 marker is now being implemented for marker assisted selection in the Australian albus lupin breeding program. [ABSTRACT FROM AUTHOR]