Enhanced pyruvate production in <Emphasis Type="Italic">Candida glabrata</Emphasis> by overexpressing the <Emphasis Type="Italic">CgAMD1</Emphasis> gene to improve acid tolerance

Objectives

To enhance acid tolerance of Candida glabrata for pyruvate production by engineering AMP metabolism.

Results

The physiological function of AMP deaminase in AMP metabolism from C. glabrata was investigated by deleting or overexpresseing the corresponding gene, CgAMD1. At pH 4, CgAMD1 overexpression resulted in 59 and 51% increases in biomass and cell viability compared to those of wild type strain, respectively. In addition, the intracellular ATP level of strain Cgamd1Δ/CgAMD1 was down-regulated by 22%, which led to a 94% increase in pyruvate production. Further, various strengths of CgAMD1 expression cassettes were designed, thus resulting in a 59% increase in pyruvate production at pH 4. Strain Cgamd1Δ/CgAMD1 _(H) was grown in a 30 l batch bioreactor at pH 4, and pyruvate reached 46.1 g/l.

Conclusion

CgAMD1 overexpression plays an active role in improving acid tolerance and pyruvate fermentation performance of C. glabrata at pH 4.

     

HMPAS: Human Membrane Protein Analysis System

Background

Membrane proteins perform essential roles in diverse cellular functions and are regarded as major pharmaceutical targets. The significance of membrane proteins has led to the developing dozens of resources related with membrane proteins. However, most of these resources are built for specific well-known membrane protein groups, making it difficult to find common and specific features of various membrane protein groups.

Methods

We collected human membrane proteins from the dispersed resources and predicted novel membrane protein candidates by using ortholog information and our membrane protein classifiers. The membrane proteins were classified according to the type of interaction with the membrane, subcellular localization, and molecular function. We also made new feature dataset to characterize the membrane proteins in various aspects including membrane protein topology, domain, biological process, disease, and drug. Moreover, protein structure and ICD-10-CM based integrated disease and drug information was newly included. To analyze the comprehensive information of membrane proteins, we implemented analysis tools to identify novel sequence and functional features of the classified membrane protein groups and to extract features from protein sequences.

Results

We constructed HMPAS with 28,509 collected known membrane proteins and 8,076 newly predicted candidates. This system provides integrated information of human membrane proteins individually and in groups organized by 45 subcellular locations and 1,401 molecular functions. As a case study, we identified associations between the membrane proteins and diseases and present that membrane proteins are promising targets for diseases related with nervous system and circulatory system. A web-based interface of this system was constructed to facilitate researchers not only to retrieve organized information of individual proteins but also to use the tools to analyze the membrane proteins.

Conclusions

HMPAS provides comprehensive information about human membrane proteins including specific features of certain membrane protein groups. In this system, user can acquire the information of individual proteins and specified groups focused on their conserved sequence features, involved cellular processes, and diseases. HMPAS may contribute as a valuable resource for the inference of novel cellular mechanisms and pharmaceutical targets associated with the human membrane proteins. HMPAS is freely available at http://fcode.kaist.ac.kr/hmpas.

     

Genomewide association study for economic traits in the large yellow croaker with different numbers of extreme phenotypes

A traditional genomewide association study (GWAS) detects genotype–phenotype associations by the vast number of genotyped individuals. This method requires large-scale samples and considerable sequencing costs. Extreme phenotypic sampling proposes make GWAS more cost-efficient and are applied more widely. With extreme phenotypic sampling, we performed a GWAS for n-3 highly unsaturated fatty acids (HUFA) and eviscerated weight (EW) traits in the large yellow croaker population. Of the 32,249 and 29,748 detected SNPs for the two traits, three candidate regions were found in each trait. Three candidate regions associated with HUFA were known near genes on chromosomes 4 and 11, and three candidate regions were on chromosome 6, and 15 for the EW trait. By combing through our GWAS results and the biological functional analysis of the genes, we suggest that the FABP, DGAT, ATP8B1, FAF2 and CERS2 genes,  as well as the IGF2, BORA, CYP1A1, GRTP1 and HOX genes are promising candidate genes for n-3 HUFA and EW, respectively, in the large yellow croaker. Moreover, compared with the different numbers of the extreme phenotypic sampling, we conclude that 60% of the extreme phenotypic subsample can obtain a similar result as GWAS with whole phenotypes. Thus, extreme phenotypic sampling could save 40% of the cost for genotyping and DNA extraction without loss of the candidate regions and functional genes. Our study may provide a basis for further genomic breeding and a reference for others who want to perform GWAS with extreme phenotypes.     

Development and characterization of a complete set of <Emphasis Type="Italic">Triticum aestivum</Emphasis>–<Emphasis Type="Italic">Roegneria ciliari</Emphasis>s disomic addition lines

Key message

A complete set wheat-R. ciliaris disomic addition lines (DALs) were characterized and the homoeologous groups and genome affinities of R. ciliaris chromosomes were determined.

Abstract

Wild relatives are rich gene resources for cultivated wheat. The development of alien addition chromosome lines not only greatly broadens the genetic diversity, but also provides genetic stocks for comparative genomics studies. Roegneria ciliaris (genome S^cS^cY^cY^c), a tetraploid wild relative of wheat, is tolerant or resistant to many abiotic and biotic stresses. To develop a complete set of wheat-R. ciliaris disomic addition lines (DALs), we undertook a euplasmic backcrossing program to overcome allocytoplasmic effects and preferential chromosome transmission. To improve the efficiency of identifying chromosomes from S^c and Y^c, we established techniques including sequential genomic in situ hybridization/fluorescence in situ hybridization (FISH) and molecular marker analysis. Fourteen DALs of wheat, each containing one pair of R. ciliaris chromosomes pairs, were characterized by FISH using four repetitive sequences [pTa794, pTa71, RcAfa and (GAA)₁₀] as probes. One hundred and sixty-two R. ciliaris-specific markers were developed. FISH and marker analysis enabled us to assign the homoeologous groups and genome affinities of R. ciliaris chromosomes. FHB resistance evaluation in successive five growth seasons showed that the amphiploid, DA2Y^c, DA5Y^c and DA6S^c had improved FHB resistance, indicating their potential value in wheat improvement. The 14 DALs are likely new gene resources and will be phenotyped for more agronomic performances traits.

     

A Raman-spectroscopy-based approach for detection and discrimination of <Emphasis Type="Italic">Streptococcus thermophilus</Emphasis> and <Emphasis Type="Italic">Lactobacillus bulgaricus</Emphasis> phages at low titer in raw milk

In this study, a method combining Raman spectroscopy with chemometric analysis was developed for detection of phage presence in raw milk and discrimination of Streptococcus thermophilus and Lactobacillus bulgaricus phages which are among the main phages causing problems in dairy industry. For this purpose, S. thermophilus and L. bulgaricus phages were added into raw milk separately, and then some pretreatments such as fat separation, removal of casein, and filtration were applied to the raw milk samples. Raman spectra of the samples were collected and then analyzed using principal component analysis in order to discriminate these phages in raw milk. In the next step, dilutions of S. thermophilus phages in pretreated raw milk were prepared, and Raman spectra were collected. These spectra were analyzed by using partial least squares method to quantify phages in low titer. Consequently, it has been demonstrated that S. thermophilus and L. bulgaricus phages, which have titers sufficient to fail the fermentation (~?10⁷ pfu/mL) and have lower titers (10²–10³ pfu/mL), could be discriminated from antibiotic and each other. Additionally, low concentrations of S. thermophilus phages (10² pfu/mL) could be detected through Raman spectroscopy with a short analysis time (60 min) and high coefficient of determination (R²) values for both calibration (0.985) and validation (0.906) with a root mean square error of calibration of 70.54 and root mean square error of prediction of 165.47. However, a lower success was achieved with L. bulgaricus phages and the obtained coefficient of determination values were not sufficiently high (0.649).     

Genome-wide association study of <Emphasis Type="Italic">Mycobacterium avium</Emphasis> subspecies <Emphasis Type="Italic">Paratuberculosis</Emphasis> infection in Chinese Holstein

Background

Paratuberculosis is a contagious, chronic and enteric disease in ruminants, which is caused by Mycobacterium avium subspecies paratuberculosis (MAP) infection, resulting in enormous economic losses worldwide. There is currently no effective cure for MAP infection or a vaccine, it is thus important to explore the genetic variants that contribute to host susceptibility to infection by MAP, which may provide a better understanding of the mechanisms of paratuberculosis and benefit animal genetic improvement. Herein we performed a genome-wide association study (GWAS) to identify genomic regions and candidate genes associated with susceptibility to MAP infection in dairy cattle.

Results

Using Illumina Bovine 50?K (54,609 SNPs) and GeneSeek HD (138,893 SNPs) chips, two analytical approaches were performed, GRAMMAR-GC and ROADTRIPS in 937 Chinese Holstein cows, among which individuals genotyped by the 50?K chip were imputed to HD SNPs with Beagle software. Consequently, 15 and 11 significant SNPs (P?<?5?×?10^??5) were identified with GRAMMAR-GC and ROADTDRIPS, respectively. A total of 10 functional genes were in proximity to (i.e., within 1?Mb) these SNPs, including IL4, IL5, IL13, IRF1, MyD88, PACSIN1, DEF6, TDP2, ZAP70 and CSF2. Functional enrichment analysis showed that these genes were involved in immune related pathways, such as interleukin, T cell receptor signaling pathways and inflammatory bowel disease (IBD), implying their potential associations with susceptibility to MAP infection. In addition, by examining the publicly available cattle QTLdb, a previous QTL for MAP was found to be overlapped with one of regions detected currently at 32.5?Mb on BTA23, where the TDP2 gene was anchored.

Conclusions

In conclusion, we identified 26 SNPs located on 15 chromosomes in the Chinese Holstein population using two GWAS strategies with high density SNPs. Integrated analysis of GWAS, biological functions and the reported QTL information helps to detect positional candidate genes and the identification of regions associated with susceptibility to MAP traits in dairy cattle.

     

Comparative sequence and structure analysis of eIF1A and eIF1AD

Background

Eukaryotic translation initiation factor 1A (eIF1A) is universally conserved in all organisms. It has multiple functions in translation initiation, including assembly of the ribosomal pre-initiation complexes, mRNA binding, scanning, and ribosomal subunit joining. eIF1A binds directly to the small ribosomal subunit, as well as to several other translation initiation factors. The structure of an eIF1A homolog, the eIF1A domain-containing protein (eIF1AD) was recently determined but its biological functions are unknown. Since eIF1AD has a known structure, as well as a homolog, whose structure and functions have been extensively studied, it is a very attractive target for sequence and structure analysis.

Results

Structure/sequence analysis of eIF1AD found significant conservation in the surfaces corresponding to the ribosome-binding surfaces of its paralog eIF1A, including a nearly invariant surface-exposed tryptophan residue, which plays an important role in the interaction of eIF1A with the ribosome. These results indicate that eIF1AD may bind to the ribosome, similar to its paralog eIF1A, and could have roles in ribosome biogenenesis or regulation of translation. We identified conserved surfaces and sequence motifs in the folded domain as well as the C-terminal tail of eIF1AD, which are likely protein-protein interaction sites. The roles of these regions for eIF1AD function remain to be determined. We have also identified a set of trypanosomatid-specific surface determinants in eIF1A that could be a promising target for development of treatments against these parasites.

Conclusions

The results described here identify regions in eIF1A and eIF1AD that are likely to play major functional roles and are promising therapeutic targets. Our findings and hypotheses will promote new research and help elucidate the functions of eIF1AD.

     

CITRIC: cold-inducible translational readthrough in the chloroplast of <Emphasis Type="Italic">Chlamydomonas reinhardtii</Emphasis> using a novel temperature-sensitive transfer RNA

Background

The chloroplast of eukaryotic microalgae such as Chlamydomonas reinhardtii is a potential platform for metabolic engineering and the production of recombinant proteins. In industrial biotechnology, inducible expression is often used so that the translation or function of the heterologous protein does not interfere with biomass accumulation during the growth stage. However, the existing systems used in bacterial or fungal platforms do not transfer well to the microalgal chloroplast. We sought to develop a simple inducible expression system for the microalgal chloroplast, exploiting an unused stop codon (TGA) in the plastid genome. We have previously shown that this codon can be translated as tryptophan when we introduce into the chloroplast genome a trnW_UCA gene encoding a plastidial transfer RNA with a modified anticodon sequence, UCA.

Results

A mutated version of our trnW_UCA gene was developed that encodes a temperature-sensitive variant of the tRNA. This allows transgenes that have been modified to contain one or more internal TGA codons to be translated differentially according to the culture temperature, with a gradient of recombinant protein accumulation from 35 °C (low/off) to 15 °C (high). We have named this the CITRIC system, an acronym for cold-inducible translational readthrough in chloroplasts. The exact induction behaviour can be tailored by altering the number of TGA codons within the transgene.

Conclusions

CITRIC adds to the suite of genetic engineering tools available for the microalgal chloroplast, allowing a greater degree of control over the timing of heterologous protein expression. It could also be used as a heat-repressible system for studying the function of essential native genes in the chloroplast. The genetic components of CITRIC are entirely plastid-based, so no engineering of the nuclear genome is required.