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Our previous work reported a relationship between FOXO1 mutations and growth of Qinchuan (QC) cattle. Here, we performed differential expression analysis of FOXO1 and its association analysis with growth traits in QC cattle. First, we measured the expression of the FOXO1 gene in nine tissues during three developmental stages. The results showed that FOXO1 was abundantly expressed in tissues of calves but was strongly repressed in adulthood, although there was significant transcription in skeletal muscle. FOXO1 expression showed gradual up-regulation during differentiation of primary bovine skeletal muscle cells. We also identified six SNPs of the bovine FOXO1 gene by sequencing DNA pools of samples from 488 individuals, and association analysis indicated that five SNPs were significantly associated with some growth traits in the QC population. We further analyzed four haplotype combinations of the six SNPs and found significant correlation with body length (P<0.01). In conclusion, FOXO1 participates in bovine myocyte differentiation and expression, and may be a strong candidate as a gene that affects growth traits that could be exploited in a QC cattle breeding program. More generally, our data provide a new theoretical basis for QC beef breeding and beef quality improvement.

High-fidelity replication of biologic-encoding recombinant DNA sequences by engineered mammalian cell cultures is an essential pre-requisite for the development of stable cell lines for the production of biotherapeutics. However, immortalized mammalian cells characteristically exhibit an increased point mutation frequency compared to mammalian cells in vivo, both across their genomes and at specific loci (hotspots). Thus unforeseen mutations in recombinant DNA sequences can arise and be maintained within producer cell populations. These may affect both the stability of recombinant gene expression and give rise to protein sequence variants with variable bioactivity and immunogenicity. Rigorous quantitative assessment of recombinant DNA integrity should therefore form part of the cell line development process and be an essential quality assurance metric for instances where synthetic/multi-component assemblies are utilized to engineer mammalian cells, such as the assessment of recombinant DNA fidelity or the mutability of single-site integration target loci. Based on Pacific Biosciences (Menlo Park, CA) single molecule real-time (SMRT™) circular consensus sequencing (CCS) technology we developed a rDNA sequence analysis tool to process the multi-parallel sequencing of ∼40,000 single recombinant DNA molecules. After statistical filtering of raw sequencing data, we show that this analytical method is capable of detecting single point mutations in rDNA to a minimum single mutation frequency of 0.0042% (<1/24,000 bases). Using a stable CHO transfectant pool harboring a randomly integrated 5 kB plasmid construct encoding GFP we found that 28% of recombinant plasmid copies contained at least one low frequency (<0.3%) point mutation. These mutations were predominantly found in GC base pairs (85%) and that there was no positional bias in mutation across the plasmid sequence. There was no discernable difference between the mutation frequencies of coding and non-coding DNA. The putative ratio of non-synonymous and synonymous changes within the open reading frames (ORFs) in the plasmid sequence indicates that natural selection does not impact upon the prevalence of these mutations. Here we have demonstrated the abundance of mutations that fall outside of the reported range of detection of next generation sequencing (NGS) and second generation sequencing (SGS) platforms, providing a methodology capable of being utilized in cell line development platforms to identify the fidelity of recombinant genes throughout the production process., (© 2018 Wiley Periodicals, Inc.)

Background: The aim of the study was to evaluate the genetic predisposition of congenital cataract in a colony of captive-bred vervet monkeys., Methods: Four congenital cataract genes: glucosaminyl (N-acetyl) transferase 2 (GCNT2), heat shock transcription factor 4 (HSF4), crystallin alpha A (CRYAA) and lens intrinsic membrane protein-2 (LIM2) were screened, sequenced and analysed for possible genetic variants in 36 monkeys. Gene expression was also evaluated in these genes., Results: Fifteen sequence variants were identified in the coding regions of three genes (GCNT2, HSF4 and CRYAA). Of these variations, only three were missense mutations (M258V, V16I and S24N) and identified in the GCNT2 transcripts A, B and C, respectively, which resulted in a downregulated gene expression., Conclusion: Although the three missense mutations in GCNT2 have a benign effect, a possibility exists that the candidate genes (GCNT2, HSF4 and CRYAA) might harbour mutations that are responsible for total congenital cataract., (© 2018 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.)

Sequence variants located in the introns of the β-globin gene may affect the mRNA processing and cause β-thalassemia (β-thal). Sequence variants that change one of the invariant dinucleotides at the exon-intron boundaries may have fatal consequences for normal mRNA splicing. Intronic variants located far from obvious regulatory sequences can be more difficult to evaluate. There is a potential for misinterpretation of such sequence variants. Hence, thorough evaluation of patient data together with critical use of databases and in silico prediction tools are important. Here, we describe two rare sequence variants in the second intron of the β-globin gene, HBB: c.316-70C>G and HBB: c.316-125A>G (NM&#95;000518.4), both previously reported as variants causing β-thal, and later as benign sequence variants. Due to the limited number of published cases and inconsistent interpretations, the significance of these sequence variants has been unclear. We have identified these two sequence variants in multiple individuals, alone and in a variety of combinations with other δ- and β-globin defects, and we find no influence of the sequence variants on the phenotype.

Next-generation sequencing (NGS) and bioinformatics tools have greatly facilitated the characterization of nucleotide variation; nonetheless, an exhaustive description of both SNP haplotype diversity and of structural variation remains elusive in most species. In this study, we sequenced a representative set of 102 short-season soya beans and achieved an extensive coverage of both nucleotide diversity and structural variation (SV). We called close to 5M sequence variants (SNPs, MNPs and indels) and noticed that the number of unique haplotypes had plateaued within this set of germplasm (1.7M tag SNPs). This data set proved highly accurate (98.6%) based on a comparison of called genotypes at loci shared with a SNP array. We used this catalogue of SNPs as a reference panel to impute missing genotypes at untyped loci in data sets derived from lower density genotyping tools (150 K GBS-derived SNPs/530 samples). After imputation, 96.4% of the missing genotypes imputed in this fashion proved to be accurate. Using a combination of three bioinformatics pipelines, we uncovered ~92 K SVs (deletions, insertions, inversions, duplications, CNVs and translocations) and estimated that over 90% of these were accurate. Finally, we noticed that the duplication of certain genomic regions explained much of the residual heterozygosity at SNP loci in otherwise highly inbred soya bean accessions. This is the first time that a comprehensive description of both SNP haplotype diversity and SV has been achieved within a regionally relevant subset of a major crop., (© 2017 The Authors. Plant Biotechnology Journal published by Society for Experimental Biology and The Association of Applied Biologists and John Wiley & Sons Ltd.)

The Human Genome Variation Society (HGVS) variant nomenclature is widely used to describe sequence variants in scientific publications, clinical reports, and databases. However, the HGVS recommendations are complex and this often results in inaccurate variant descriptions being reported. The open-source hgvs Python package (https://github.com/biocommons/hgvs) provides a programmatic interface for parsing, manipulating, formatting, and validating of variants according to the HGVS recommendations, but does not provide a user-friendly Web interface. We have developed a Web-based variant validation tool, VariantValidator (https://variantvalidator.org/), which utilizes the hgvs Python package and provides additional functionality to assist users who wish to accurately describe and report sequence-level variations that are compliant with the HGVS recommendations. VariantValidator was designed to ensure that users are guided through the intricacies of the HGVS nomenclature, for example, if the user makes a mistake, VariantValidator automatically corrects the mistake if it can, or provides helpful guidance if it cannot. In addition, VariantValidator has the facility to interconvert genomic variant descriptions in HGVS and Variant Call Format with a degree of accuracy that surpasses most competing solutions., (© 2017 The Authors. Human Mutation published by Wiley Periodicals, Inc.)

Targeted panel, whole exome, or whole genome DNA sequencing using next-generation sequencing (NGS) allows for extensive high-throughput investigation of molecular machines/systems such as the LINC complex. This includes the identification of genetic variants in humans that cause disease, as is the case for some genes encoding LINC complex proteins. The relatively low cost and high speed of the sequencing process results in large datasets at various stages of analysis and interpretation. For those not intimately familiar with the process, interpretation of the data might prove challenging. This review lays out the most important and most commonly used materials and methods of NGS. It also discusses data analysis and potential pitfalls one might encounter because of peculiarities of the laboratory methodology or data analysis pipelines.

In the process of generating stable monoclonal antibody (mAb) producing cell lines, reagents such as methotrexate (MTX) or methionine sulfoximine (MSX) are often used. However, using such selection reagent(s) increases the possibility of having higher occurrence of sequence variants in the expressed antibody molecules due to the effects of MTX or MSX on de novo nucleotide synthesis. Since MSX inhibits glutamine synthase (GS) and results in both amino acid and nucleoside starvation, it is questioned whether supplementing nucleosides into the media could lower sequence variant levels without affecting titer. The results show that the supplementation of nucleosides to the media during MSX selection decreased genomic DNA mutagenesis rates in the selected cells, probably by reducing nucleotide mis-incorporation into the DNA. Furthermore, addition of nucleosides enhance clone recovery post selection and does not affect antibody expression. It is further observed that nucleoside supplements lowered DNA mutagenesis rates only at the initial stage of the clone selection and do not have any effect on DNA mutagenesis rates after stable cell lines are established. Therefore, the data suggests that addition of nucleosides during early stages of MSX selection can lower sequence variant levels without affecting titer or clone stability in antibody expression., (© 2017 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.)

The utility of short tandem repeat genetic (STR) markers for forensic science is beyond question and there are over 50 million STR profiles in current national databases. The magnitude and value of those data, however, are likely to be dwarfed by what is emerging from large-scale SNP and DNA sequence assays. Phenotypic characterization may well accompany future statements about identity. In this very brief review we focus on the use of rare variants to describe relatedness and population structure. [ABSTRACT FROM AUTHOR]

The calcium-sensing receptor (CaSR) is a Class C G-protein coupled receptor that regulates food intake and assimilation. However, studies on the relationship between CaSR gene and growth traits in cattle are deficient. The aim of this study was to examine the association of the CaSR polymorphism with growth traits in cattle breeds. Four novel single nucleotide polymorphisms (SNPs) and one previously reported SNP (NC&#95;007299.5: g.67630865T>C, 67638409G>C, 67660395G>C, 67661546C>G, and 67661892A>C) were identified in the bovine CaSR gene using DNA sequencing and PCR-SSCP methods in 520 individuals from three representative breeds. The three SNP P4&#95;2, P7&#95;1, and P7&#95;4 in LX, QC, and JX cattle populations belonged to intermediate genetic diversity (0.25 < PIC < 0.5). In addition, we evaluated the haplotype frequency and linkage disequilibrium coefficient of five sequence variants in the three cattle breeds. LD and haplotype structure of CaSR were different between breeds. LD analysis showed that the P4&#95;2 and P7&#95;4 loci were in complete LD in JX cattle population (r2 = 0.99 and D' = 1). Only 11 haplotypes were listed except for those with a frequency of <0.03. Hap1 (-TGGGC-) had the highest haplotype frequencies in LX (27.30%), Hap6(-TGGCC-) had the highest haplotype frequencies in QC (21.70%) and JX (32.30%). Association analysis indicated that P2, P4&#95;2, and P7&#95;4 loci were all significantly associated with growth traits and combined genotype TTGCGC was highly significantly associated with Chest circumference and body weight than the other genotype in JX cattle population. The results of this study suggest that the CaSR gene possibly is a strong candidate gene that affects growth traits in the Chinese cattle breeding program.

The inherent nature of cloned CHO cell lines includes the presence of genetic and phenotypic drift that leads to heterogeneous populations. The genetic heterogeneity exhibited by these cells can be exploited to understand the population dynamics of cloned cell lines. Understanding the interplay between heterogeneity, cell culture conditions, and population dynamics will allow for critical assessment of overarching cell line development methods and strategies in terms of population and monoclonality. Sequence variants (SVs) are protein isoforms of the gene-of-interest that contain unintended amino acid substitutions, extensions, or truncations that may contribute to heterogeneity. In this case, SVs are unique sequences in the genome of the integrated transgene that can be used as biomarkers to understand the heterogeneity of a monoclonal cell line and how production process conditions can impact population dynamics. In this study, orthogonal genetic and analytical methods were used to examine the variability of SV levels in four different SV-containing cell lines under varied culture conditions and generational ages. Culture conditions tested had little to no impact on SV levels. However, generational age studies showed two distinct trends: stability of SV levels out to approximately 100 generations in cell lines with higher level SVs (>10%) and a progressive decrease of SV levels as the cells age to approximately 100 generations in cell lines with lower level SVs (<10%). The results suggest that the four SV-containing cell lines fall into two distinct population models; SVs present in the whole population of cells and SVs present in only a sub-population of cells. The data presented here are one of the first studies to not only analyze and compare SV levels in both genetic and protein material but also to utilize SVs as biomarkers to probe distinct populations of cloned cell lines. Biotechnol. Bioeng. 2017;114: 1744-1752. © 2017 Wiley Periodicals, Inc., (© 2017 Wiley Periodicals, Inc.)

Background: Sequence variants in the NOS1AP gene have repeatedly been reported to influence QTc, albeit with moderate effect sizes. In the long QT syndrome (LQTS), this may contribute to the substantial QTc variance seen among carriers of identical pathogenic sequence variants. Here we assess three non-coding NOS1AP sequence variants, chosen for their previously reported strong association with QTc in normal and LQTS populations, for association with QTc in two Swedish LQT1 founder populations., Methods: This study included 312 individuals (58% females) from two LQT1 founder populations, whereof 227 genotype positive segregating either Y111C (n = 148) or R518* (n = 79) pathogenic sequence variants in the KCNQ1 gene, and 85 genotype negatives. All were genotyped for NOS1AP sequence variants rs12143842, rs16847548 and rs4657139, and tested for association with QTc length (effect size presented as mean difference between derived and wildtype, in ms), using a pedigree-based measured genotype association analysis. Mean QTc was obtained by repeated manual measurement (preferably in lead II) by one observer using coded 50 mm/s standard 12-lead ECGs., Results: A substantial variance in mean QTc was seen in genotype positives 476 ± 36 ms (Y111C 483 ± 34 ms; R518* 462 ± 34 ms) and genotype negatives 433 ± 24 ms. Female sex was significantly associated with QTc prolongation in all genotype groups (p < 0.001). In a multivariable analysis including the entire study population and adjusted for KCNQ1 genotype, sex and age, NOS1AP sequence variants rs12143842 and rs16847548 (but not rs4657139) were significantly associated with QT prolongation, +18 ms (p = 0.0007) and +17 ms (p = 0.006), respectively. Significant sex-interactions were detected for both sequent variants (interaction term r = 0.892, p < 0.001 and r = 0.944, p < 0.001, respectively). Notably, across the genotype groups, when stratified by sex neither rs12143842 nor rs16847548 were significantly associated with QTc in females (both p = 0.16) while in males, a prolongation of +19 ms and +8 ms (p = 0.002 and p = 0.02) was seen in multivariable analysis, explaining up to 23% of QTc variance in all males., Conclusions: Sex was identified as a moderator of the association between NOS1AP sequence variants and QTc in two LQT1 founder populations. This finding may contribute to QTc sex differences and affect the usefulness of NOS1AP as a marker for clinical risk stratification in LQTS.

Recurrent microduplications/microdeletions of 1q21.1 are characterized by variable phenotypes ranging from normal development to developmental delay (DD) and congenital anomalies. Their interpretation is challenging especially in families with affected and unaffected carriers. We used whole exome sequencing (WES) to look for sequence variants in two male probands with inherited 1q21.1 CNVs that could explain their more severe phenotypes. One proband had a 1q21.1 deletion transmitted from maternal grandmother, while the other had a paternal duplication. We found mutations in five genes (SMPD1, WNK3, NOS1, ATF6, and EFHC1) that could contribute to the more severe phenotype in the probands in comparison to their mildly affected or unaffected 1q21.1 CNV carrying relatives. Interestingly, all genes have roles in stress responses (oxidative/Endoplasmic Reticulum (ER)/osmotic). One of the variants was in an X-linked gene WNK3 and segregated with the developmental features and X inactivation pattern in the family with 1q21.1 deletion transmitted from maternal grandmother. In silico analysis of all rare deleterious variants in both probands identified enrichment in nervous system diseases, metabolic pathways, protein processing in the ER and protein export. Our studies suggest that rare deleterious variants outside of the 1q21.1 CNV, individually or as a pool, could contribute to phenotypic variability in carriers of this CNV. Rare deleterious variants in stress response genes are of interest and raise the possibility of susceptibility of carriers to variable environmental influences. Next generation sequencing of additional familial cases with 1q21.1 CNV could further help determine the possible causes of phenotypic variability in carriers of this CNV., (© 2017 Wiley Periodicals, Inc.)

Epidemiological and genetic association studies show that genetics play an important role in the attainment of education. Here, we investigate the effect of this genetic component on the reproductive history of 109,120 Icelanders and the consequent impact on the gene pool over time. We show that an educational attainment polygenic score, POLY EDU, constructed from results of a recent study is associated with delayed reproduction (P < 10 -100 ) and fewer children overall. The effect is stronger for women and remains highly significant after adjusting for educational attainment. Based on 129,808 Icelanders born between 1910 and 1990, we find that the average POLY EDU has been declining at a rate of ∼0.010 standard units per decade, which is substantial on an evolutionary timescale. Most importantly, because POLY EDU only captures a fraction of the overall underlying genetic component the latter could be declining at a rate that is two to three times faster., Competing Interests: The authors declare no conflict of interest.

Exome sequencing has been widely used to identify the genetic variants underlying human genetic disorders for clinical diagnoses, but the identification of pathogenic sequence variants among the huge amounts of benign ones is complicated and challenging. Here, we describe a new Web server named mirVAFC for pathogenic sequence variants prioritizations from clinical exome sequencing (CES) variant data of single individual or family. The mirVAFC is able to comprehensively annotate sequence variants, filter out most irrelevant variants using custom criteria, classify variants into different categories as for estimated pathogenicity, and lastly provide pathogenic variants prioritizations based on classifications and mutation effects. Case studies using different types of datasets for different diseases from publication and our in-house data have revealed that mirVAFC can efficiently identify the right pathogenic candidates as in original work in each case. Overall, the Web server mirVAFC is specifically developed for pathogenic sequence variant identifications from family-based CES variants using classification-based prioritizations. The mirVAFC Web server is freely accessible at https://www.wzgenomics.cn/mirVAFC/., (© 2016 WILEY PERIODICALS, INC.)

Histone variants are known to play a central role in genome regulation and maintenance. However, many variants are inaccessible by antibody-based methods or bottom-up tandem mass spectrometry due to their highly similar sequences. For many, the only tractable approach is with intact protein top-down tandem mass spectrometry. Here, ultra-high-resolution FT-ICR MS and MS/MS yield quantitative relative abundances of all detected HeLa H2A and H2B isobaric and isomeric variants with a label-free approach. We extend the analysis to identify and relatively quantitate 16 proteoforms from 12 sequence variants of histone H2A and 10 proteoforms of histone H2B from three other cell lines: human embryonic stem cells (WA09), U937, and a prostate cancer cell line LaZ. The top-down MS/MS approach provides a path forward for more extensive elucidation of the biological role of many previously unstudied histone variants and post-translational modifications.

Current forensic DNA analysis predominantly involves identification of human donors by analysis of short tandem repeats (STRs) using Capillary Electrophoresis (CE). Recent developments in Massively Parallel Sequencing (MPS) technologies offer new possibilities in analysis of STRs since they might overcome some of the limitations of CE analysis. In this study 17 STRs and Amelogenin were sequenced in high coverage using a prototype version of the Promega PowerSeq™ system for 297 population samples from the Netherlands, Nepal, Bhutan and Central African Pygmies. In addition, 45 two-person mixtures with different minor contributions down to 1% were analysed to investigate the performance of this system for mixed samples. Regarding fragment length, complete concordance between the MPS and CE-based data was found, marking the reliability of MPS PowerSeq™ system. As expected, MPS presented a broader allele range and higher power of discrimination and exclusion rate. The high coverage sequencing data were used to determine stutter characteristics for all loci and stutter ratios were compared to CE data. The separation of alleles with the same length but exhibiting different stutter ratios lowers the overall variation in stutter ratio and helps in differentiation of stutters from genuine alleles in mixed samples. All alleles of the minor contributors were detected in the sequence reads even for the 1% contributions, but analysis of mixtures below 5% without prior information of the mixture ratio is complicated by PCR and sequencing artefacts., (Copyright © 2016 The Author(s). Published by Elsevier Ireland Ltd.. All rights reserved.)

Next-generation sequencing (NGS) is getting routinely used in the diagnosis of hereditary diseases, such as human cardiomyopathies. Hence, it is of utter importance to secure high quality sequencing data, enabling the identification of disease-relevant mutations or the conclusion of negative test results. During the process of sample preparation, each protocol for target enrichment library preparation has its own requirements for quality control (QC); however, there is little evidence on the actual impact of these guidelines on resulting data quality. In this study, we analyzed the impact of QC during the diverse library preparation steps of Agilent SureSelect XT target enrichment and Illumina sequencing. We quantified the parameters for a cohort of around 600 samples, which include starting amount of DNA, amount of sheared DNA, smallest and largest fragment size of the starting DNA; amount of DNA after the pre-PCR, and smallest and largest fragment size of the resulting DNA; as well as the amount of the final library, the corresponding smallest and largest fragment size, and the number of detected variants. Intriguingly, there is a high tolerance for variations in all QC steps, meaning that within the boundaries proposed in the current study, a considerable variance at each step of QC can be well tolerated without compromising NGS quality., (Copyright © 2016 The Authors. Production and hosting by Elsevier Ltd.. All rights reserved.)

Nivolumab is a therapeutic fully human IgG4 antibody to programmed death 1 (PD-1). In this study, a nivolumab biosimilar, which was produced in our laboratory, was analyzed and characterized. Sequence variants that contain undesired amino acid sequences may cause concern during biosimilar bioprocess development. We found that low levels of sequence variants were detected in the heavy chain of the nivolumab biosimilar by ultra performance liquid chromatography (UPLC) and tandem mass spectrometry. It was further identified with UPLC-MS/MS by IdeS or trypsin digestion. The sequence variant was confirmed through addition of synthetic mutant peptide. Subsequently, the mixing base signal of normal and mutant sequence was detected through DNA sequencing. The relative levels of mutant A424V in the Fc region of the heavy chain have been detected and demonstrated to be 12.25% and 13.54%, via base peak intensity (BPI) and UV chromatography of the tryptic peptide mapping, respectively. A424V variant was also quantified by real-time PCR (RT-PCR) at the DNA and RNA level, which was 19.2% and 16.8%, respectively. The relative content of the mutant was consistent at the DNA, RNA and protein level, indicating that the A424V mutation may have little influence at transcriptional or translational levels. These results demonstrate that orthogonal state-of-the-art techniques such as LC- UV- MS and RT-PCR should be implemented to characterize recombinant proteins and cell lines for development of biosimilars. Our study suggests that it is important to establish an integrated and effective analytical method to monitor and characterize sequence variants during antibody drug development, especially for antibody biosimilar products.

Recent technological advances in next-generation sequencing (NGS) provide unprecedented power to sequence personal genomes, characterize genomic landscapes, and detect a large number of sequence variants. The discovery of disease-causing variants in patients' genomes has dramatically changed our perspective on precision medicine. This chapter provides an overview of sequence variant detection and analysis in NGS study. We outline the general methods for identifying different types of sequence variants from NGS data. We summarize the common approaches for analyzing and visualizing casual variants associated with complex diseases on precision medicine informatics.

Differential intragenic methylation in social insects has been hailed as a prime mover of environmentally driven organismal plasticity and even as evidence for genomic imprinting. However, very little experimental work has been done to test these ideas and to prove the validity of such claims. Here we analyze in detail differentially methylated obligatory epialleles of a conserved gene encoding lysosomal α-mannosidase (AmLAM) in the honeybee. We combined genotyping of progenies derived from colonies founded by single drone inseminated queens, ultra-deep allele-specific bisulfite DNA sequencing, and gene expression to reveal how sequence variants, DNA methylation, and transcription interrelate. We show that both methylated and non-methylated states of AmLAM follow Mendelian inheritance patterns and are strongly influenced by polymorphic changes in DNA. Increased methylation of a given allele correlates with higher levels of context-dependent AmLAM expression and appears to affect the transcription of an antisense long noncoding RNA. No evidence of allelic imbalance or imprinting involved in this process has been found. Our data suggest that by generating alternate methylation states that affect gene expression, sequence variants provide organisms with a high level of epigenetic flexibility that can be used to select appropriate responses in various contexts. This study represents the first effort to integrate DNA sequence variants, gene expression, and methylation in a social insect to advance our understanding of their relationships in the context of causality.

Mutations in KDM5C gene are linked to X-linked mental retardation, the syndromic Claes-Jensen-type disease. This study focuses on non-synonymous mutations in the KDM5C ARID domain and evaluates the effects of two disease-associated missense mutations (A77T and D87G) and three not-yet-classified missense mutations (R108W, N142S, and R179H). We predict the ARID domain's folding and binding free energy changes due to mutations, and also study the effects of mutations on protein dynamics. Our computational results indicate that A77T and D87G mutants have minimal effect on the KDM5C ARID domain stability and DNA binding. In parallel, the change in the free energy unfolding caused by the mutants A77T and D87G were experimentally measured by urea-induced unfolding experiments and were shown to be similar to the in silico predictions. The evolutionary conservation analysis shows that the disease-associated mutations are located in a highly-conserved part of the ARID structure (N-terminal domain), indicating their importance for the KDM5C function. N-terminal residues' high conservation suggests that either the ARID domain utilizes the N-terminal to interact with other KDM5C domains or the N-terminal is involved in some yet unknown function. The analysis indicates that, among the non-classified mutations, R108W is possibly a disease-associated mutation, while N142S and R179H are probably harmless.

Developing stable Chinese hamster ovary (CHO) cell lines for biotherapeutics is an irreversible process and therefore, key quality attributes, such as sequence variants, must be closely monitored during cell line development (CLD) to avoid delay in the developmental timeline, and more importantly, to assure product safety and efficacy. Sequence variants, defined as unintended amino acid substitution in recombinant protein primary structure, result from alteration at either the DNA or the protein level. Here, for the first time, we report the application of transcriptome sequencing (RNAseq) in an IgG1 monoclonal antibody (mAb) CLD campaign to detect, identify, and eliminate cell lines containing low-level point mutations in recombinant coding sequence. Among the top eleven mAb producers chosen from transfectant, clone or subclone stages, three of the cell lines contained either missense or nonsense point mutations at a low level of less than 2%. Subsequent LC/MS/MS characterization detected ∼3% sequence variants with an amino acid change from Ser to Leu at residue 117 in the heavy chain of transfectants 11 and 27. This substitution is consistent with the RNAseq finding of a C/T mutation located at 407 base pair (TCA→TTA) in the heavy chain coding sequence. Here we demonstrate that RNAseq is a rapid and highly sensitive method to identify low-level genetic mutation de novo corresponding to the amino acid substitution that elicits sequence variant(s). Its implementation in CLD constitutes an early and effective step in identifying desired CHO expression cell lines., (© 2015 American Institute of Chemical Engineers.)

The aim of this study was to examine the association of cofilin2 (CFL2) gene polymorphisms with growth traits in Chinese Qinchuan cattle. Three single nucleotide polymorphisms (SNPs) were identified in the bovine CFL2 gene using DNA sequencing and (forced) PCR-RFLP methods. These polymorphisms included a missense mutation (NC&#95;007319.5: g. C 2213 G) in exon 4, one synonymous mutation (NC&#95;007319.5: g. T 1694 A) in exon 4, and a mutation (NC&#95;007319.5: g. G 1500 A) in intron 2, respectively. In addition, we evaluated the haplotype frequency and linkage disequilibrium coefficient of three sequence variants in 488 individuals in QC cattle. All the three SNPs in QC cattle belonged to an intermediate level of genetic diversity (0.250.33). Association analysis indicated that SNP G 1500 A, T 1694 A and C 2213 G were significantly associated with growth traits in the QC population. The results of our study suggest that the CFL2 gene may be a strong candidate gene that affects growth traits in the QC cattle breeding program., (Copyright © 2015 Elsevier B.V. All rights reserved.)

Chromosome 15q13.3 recurrent microdeletions are causally associated with a wide range of phenotypes, including autism spectrum disorder (ASD), seizures, intellectual disability, and other psychiatric conditions. Whether the reciprocal microduplication is pathogenic is less certain. CHRNA7, encoding for the alpha7 subunit of the neuronal nicotinic acetylcholine receptor, is considered the likely culprit gene in mediating neurological phenotypes in 15q13.3 deletion cases. To assess if CHRNA7 rare variants confer risk to ASD, we performed copy number variant analysis and Sanger sequencing of the CHRNA7 coding sequence in a sample of 135 ASD cases. Sequence variation in this gene remains largely unexplored, given the existence of a fusion gene, CHRFAM7A, which includes a nearly identical partial duplication of CHRNA7. Hence, attempts to sequence coding exons must distinguish between CHRNA7 and CHRFAM7A, making next-generation sequencing approaches unreliable for this purpose. A CHRNA7 microduplication was detected in a patient with autism and moderate cognitive impairment; while no rare damaging variants were identified in the coding region, we detected rare variants in the promoter region, previously described to functionally reduce transcription. This study represents the first sequence variant analysis of CHRNA7 in a sample of idiopathic autism., (© 2015 Wiley Periodicals, Inc.)

Background: Rice, Oryza sativa L., is the staple food for half the world's population. By 2030, the production of rice must increase by at least 25% in order to keep up with global population growth and demand. Accelerated genetic gains in rice improvement are needed to mitigate the effects of climate change and loss of arable land, as well as to ensure a stable global food supply., Findings: We resequenced a core collection of 3,000 rice accessions from 89 countries. All 3,000 genomes had an average sequencing depth of 14×, with average genome coverages and mapping rates of 94.0% and 92.5%, respectively. From our sequencing efforts, approximately 18.9 million single nucleotide polymorphisms (SNPs) in rice were discovered when aligned to the reference genome of the temperate japonica variety, Nipponbare. Phylogenetic analyses based on SNP data confirmed differentiation of the O. sativa gene pool into 5 varietal groups - indica, aus/boro, basmati/sadri, tropical japonica and temperate japonica., Conclusions: Here, we report an international resequencing effort of 3,000 rice genomes. This data serves as a foundation for large-scale discovery of novel alleles for important rice phenotypes using various bioinformatics and/or genetic approaches. It also serves to understand the genomic diversity within O. sativa at a higher level of detail. With the release of the sequencing data, the project calls for the global rice community to take advantage of this data as a foundation for establishing a global, public rice genetic/genomic database and information platform for advancing rice breeding technology for future rice improvement.

Forkhead box A2 (Foxa2) has been recognized as one of the most potent transcriptional activators that is implicated in the control of feeding behavior and energy homeostasis. However, similar researches about the effects of genetic variations of Foxa2 gene on growth traits are lacking. Therefore, this study detected Foxa2 gene polymorphisms by DNA pool sequencing, PCR-RFLP and PCR-ACRS methods in 822 individuals from three Chinese cattle breeds. The results showed that four sequence variants (SVs) were screened, including two mutations (SV1, g. 7005 C>T and SV2, g. 7044 C>G) in intron 4, one mutation (SV3, g. 8449 A>G) in exon 5 and one mutation (SV4, g. 8537 T>C) in the 3'UTR. Notably, association analysis of the single mutations with growth traits in total individuals (at 24months) revealed that significant statistical difference was found in four SVs, and SV4 locus was highly significantly associated with growth traits throughout all three breeds (P<0.05 or P<0.01). Meanwhile, haplotype combination CCCCAGTC also indicated remarkably associated to better chest girth and body weight in Jiaxian Red cattle (P<0.05). We herein described a comprehensive study on the variability of bovine Foxa2 gene that was predictive of molecular markers in cattle breeding for the first time., (Copyright © 2013 Elsevier B.V. All rights reserved.)

Apolipoprotein A-II (APOA2) is one of the major constituents of high-density lipoprotein and plays a critical role in lipid metabolism and obesity. However, similar research for the bovine APOA2 gene is lacking. In this study, polymorphisms of the bovine APOA2 gene and its promoter region were detected in 1021 cows from four breeds by sequencing and PCR-RFLP methods. Totally, we detected six novel mutations which included one mutation in the promoter region, two mutations in the exons and three mutations in the introns. There were four polymorphisms within APOA2 gene were analyzed. The allele A, T, T and G frequencies of the four loci were predominant in the four breeds when in separate or combinations analysis which suggested cows with those alleles to be more adapted to the steppe environment. The association analysis indicated three SVs in Nangyang cows, two SVs in Qinchun cows and the 9 haplotypes in Nangyang cows were significantly associated with body traits (P<0.05 or P<0.01). The results of this study suggested the bovine APOA2 gene may be a strong candidate gene for body traits in the cattle breeding program., (© 2013.)

We describe here the identification of a stop codon TAA (Stop) → GAA (Glu) = Stop221E mutation on the light chain of a recombinant IgG1 antibody expressed in a Chinese hamster ovary (CHO) cell line. The extended light chain variants, which were caused by translation beyond the mutated stop codon to the next alternative in-frame stop codon, were observed by mass spectra analysis. The abnormal peptide peaks present in tryptic and chymotryptic LC-MS peptide mapping were confirmed by N-terminal sequencing as C-terminal light chain extension peptides. Furthermore, LC-MS/MS of Glu-C peptide mapping confirmed the stop221E mutation, which is consistent with a single base-pair mutation in TAA (stop codon) to GAA (Glu). The light chain variants were approximately 13.6% of wild type light chain as estimated by RP-HPLC analysis. DNA sequencing techniques determined a single base pair stop codon mutation, instead of a stop codon read-through, as the cause of this light chain extension. To our knowledge, the stop codon mutation has not been reported for IgGs expressed in CHO cells. These results demonstrate orthogonal techniques should be implemented to characterize recombinant proteins and select appropriate cell lines for production of therapeutic proteins because modifications could occur at unexpected locations.

The sequence polymorphism and population structure of Tomato chlorotic dwarf viroid (TCDVd) (isolate Trust) and Potato tuber spindle viroid (PSTVd) (isolate FN) in tomato plants were investigated. Of the 9 and 35 TCDVd clones sequenced from 2 different TCDVd-infected plants, 2 and 4 sequence variants were identified, respectively, leading to a total of 4 sequence variants of 360 nucleotides in length. Variant I was identical to AF162131, the first TCDVd sequence to be reported, and the rest exhibited 1 to 3 nucleotide differences, all in the T(R) domain, from AF162131/variant I. Of the 33 and 29 PSTVd clones sequenced from 2 different PSTVd-infected plants, 8 and 9 sequence variants were found, respectively, leading to a total of 15 variants ranging in length from 356 to 359 nucleotides. The variant I was identical to EF044303, a PSTVd reported in Russia. The rest exhibited 1 to 11 nucleotide differences scattering in all five domains from EF044303/variant I. The results demonstrated for the first time that TCDVd, like many other viroids including PSTVd, exists in host plants as a collective group comprised of various sequence variants. However, in comparison to PSTVd, TCDVd is less polymorphic in tomato plants as fewer variants and lower haplotype/nucleotide diversities were observed.