An Expression QTL of Closely Linked Candidate Genes Affects pH of Meat in Chickens

Genetical genomics has been suggested as a powerful approach to study the genotype–phenotype gap. However, the relatively low power of these experiments (usually related to the high cost) has hindered fulfillment of its promise, especially for loci (QTL) of moderate effects.One strategy with which to overcome the issue is to use a targeted approach. It has two clear advantages: (i) it reduces the problem to a simple comparison between different genotypic groups at the QTL and (ii) it is a good starting point from which to investigate downstream effects of the QTL. In this study, from 698 F2 birds used for QTL mapping, gene expression profiles of 24 birds with divergent homozygous QTL genotypes were investigated. The targeted QTL was on chromosome 1 and affected initial pH of breast muscle. The biological mechanisms controlling this trait can be similar to those affecting malignant hyperthermia or muscle fatigue in humans. The gene expression study identified 10 strong local signals that were markedly more significant compared to any genes on the rest of the genome. The differentially expressed genes all mapped to a region <1 Mb, suggesting a remarkable reduction of the QTL interval. These results, combined with analysis of downstream effect of the QTL using gene network analysis, suggest that the QTL is controlling pH by governing oxidative stress. The results were reproducible with use of as few as four microarrays on pooled samples (with lower significance level). The results demonstrate that this cost-effective approach is promising for characterization of QTL.     

Integration of QTL and bioinformatic tools to identify candidate genes for triglycerides in mice

To identify genetic loci influencing lipid levels, we performed quantitative trait loci (QTL) analysis between inbred mouse strains MRL/MpJ and SM/J, measuring triglyceride levels at 8 weeks of age in F2 mice fed a chow diet. We identified one significant QTL on chromosome (Chr) 15 and three suggestive QTL on Chrs 2, 7, and 17. We also carried out microarray analysis on the livers of parental strains of 282 F2 mice and used these data to find cis-regulated expression QTL. We then narrowed the list of candidate genes under significant QTL using a "toolbox" of bioinformatic resources, including haplotype analysis; parental strain comparison for gene expression differences and nonsynonymous coding single nucleotide polymorphisms (SNP); cis-regulated eQTL in livers of F2 mice; correlation between gene expression and phenotype; and conditioning of expression on the phenotype. We suggest Slc25a7 as a candidate gene for the Chr 7 QTL and, based on expression differences, five genes (Polr3 h, Cyp2d22, Cyp2d26, Tspo, and Ttll12) as candidate genes for Chr 15 QTL. This study shows how bioinformatics can be used effectively to reduce candidate gene lists for QTL related to complex traits.     

植物抗病遗传育种中的QTL定位和克隆(综述)

对植物抗病遗传育种中QTL定位与克隆研究进行综述。主要阐述了数量抗性的遗传学基础、作物抗病性QTL的定位作图、QTL作图的可靠性及应对措施、QTLs候选基因的证实和定位克隆等,并对植物抗病遗传育种未来的研究方向予以讨论。     

Gene Expression of Metabolic Enzymes and a Protease Inhibitor in the Prefrontal Cortex Are Decreased in Schizophrenia

Microarray expression studies have reported decreased mRNA expression of histidine triad nucleotide-binding protein (HINT1) and cytosolic malate dehydrogenase (MDH1) in the dorsolateral prefrontal cortex (DLPFC) of individuals with schizophrenia. Microarray results for neuroserpin (SERPINI1) mRNA in the DLPFC have reported increased and decreased expression in individuals with schizophrenia. The relative abundances of HINT1, MDH1, and SERPINI1 mRNA in the DLPFC in individuals with schizophrenia and controls were measured by real-time quantitative polymerase chain reaction (Q-PCR) and for HINT1 expression by in situ hybridization. The Q-PCR results were compared by analysis of covariance between individuals with schizophrenia and controls. Gene expression levels for HINT1, MDH1, and SERPINI1 were significantly different between the groups. The male individuals with schizophrenia compared to male controls showed reductions by 2.8- to 3.7-fold of HINT1, neuroserpin, and MDH1 by Q-PCR. The decreases in mRNA abundance for MDH1 (P = 0.006), HINT1 (P = 0.050), and neuroserpin (P = 0.005) in DLPFC of male individuals with schizophrenia is consistent with prior reports. HINT1 mRNA was reduced significantly by 34% in layer VI. Though there were no significant interactions with gender, gene expression between female patients and the female control group did not differ. These results confirm earlier reports and suggest abnormalities of specific genes related to metabolic and protease activities in the DLPFC might be considered as part of a molecular pathway in male patients with schizophrenia.     

Investigating the genetic regulation of the expression of 63 lipid metabolism genes in the pig skeletal muscle

A comprehensive and systematic view of the genetic regulation of lipid metabolism genes is still lacking in pigs. Herewith, we have investigated the genetic regulation of 63 porcine genes with crucial roles in the uptake, transport, synthesis and catabolism of lipids. With this aim, we have performed an expression QTL (eQTL) scan in 104 pigs with available genotypes for the Illumina Porcine SNP60 chip and microarray measurements of gene expression in the gluteus medius muscle. Analysis of the data with gemma software revealed 13 cis‐ and 18 trans‐eQTL modulating the expression of 19 loci. Genes regulated by eQTL participated in a wide array of lipid metabolism pathways such as the β‐oxidation of fatty acids, lipid biosynthesis and lipolysis, fatty acid activation and desaturation, lipoprotein uptake, apolipoprotein assembly and cholesterol trafficking. These data provide a first picture of the genetic regulation of loci involved in porcine lipid metabolism.     

Quantitative trait locus mapping in natural populations: progress, caveats and future directions

Over the last 15 years quantitative trait locus (QTL) mapping has become a popular method for understanding the genetic basis of continuous variation in a variety of systems. For example, the technique is now an integral tool in medical genetics, livestock production, plant breeding and population genetics of model organisms. Ten years ago, it was suggested that the method could be used to understand continuous variation in natural populations. In this review I: (i) clarify what is meant by natural population in the QTL context, (ii) discuss whether evolutionary biologists have successfully mapped QTL in natural populations, (iii) highlight some of the questions that have been addressed by QTL mapping in natural populations, (iv) describe how QTL mapping can be conducted in unmanipulated natural populations, (v) highlight some of the limitations of QTL mapping and (vi) try to predict some future directions for QTL mapping in natural populations.     

Identification of Quantitative Trait Loci for Bacterial Blight Resistance Derived from Oryza meyeriana and Agronomic Traits in Recombinant Inbred Lines of Oryza sativa

Bacterial blight (BB) is one of the major diseases that affect rice productivity. In previous studies, BB resistance was transferred to cultivated rice Oryza sativa from wild rice Oryza meyeriana using asymmetric somatic hybridization. One of the resistant hybrid progenies (Y73) has also been shown to possess novel resistance gene(s) different from any of those previously associated with BB resistance. We have mapped quantitative trait loci (QTLs) for BB resistance in a recombinant inbred line (RIL) population derived from a cross between Y73 and a BB‐susceptible cv. IR24. Five QTLs were detected where Y73 alleles contributed to increased BB resistance. Three minor QTLs were identified on chromosomes 3, 10 and 11, and two major QTLs on chromosomes 1 and 5, respectively. QTL on chromosome 5, designated qBBR5, had the strongest effect on BB resistance, explaining approximately 37% of the phenotypic variance. Using the same RIL population, we also mapped QTLs for agronomic traits including plant height (PH), heading date (HD), plant yield (PYD) and PYD component traits. A total of 21 QTLs were identified, of which four were detected for PH, six for HD, three for panicle number per plant (PNPP), one for spikelets per panicle (SPP), six for 1000‐grain weight (TGW) and one for PYD. qPH1 (a QTL for PH) was found in the same interval as qBBR1 for BB resistance, and qHD11 for HD and qBBR11 for BB resistance also shared a similar interval. Additionally, BB resistance was significantly correlated with PH or HD in the RIL population. This suggests that the resistance genes may have pleiotropic effects on, or close linkage to, genes controlling PH or HD. These results will help deduce the resistance mechanisms of the novel resistance gene(s) and provide the basis for cloning them and using them in marker‐assisted breeding.     

Linkage of bilateral convergent strabismus with exophthalmus (BCSE) to BTA5 and BTA18 in German Brown cattle

Bilateral convergent strabismus with exophthalmus (BCSE) is a widespread inherited eye defect in several cattle populations. Its progressive condition often leads to blindness in affected cattle and decreases their usability. Furthermore, the German animal welfare laws prevent breeding with animals whose progeny are expected to be affected by genetic defects. Identifying genes involved in the heredity of BCSE should lead to insights into the molecular pathogenesis of this eye disease and permit the establishment of a genetic test for this disease. A whole-genome scan for 10 families containing a total of 159 genotyped individuals identified two BCSE loci. One BCSE locus mapped to the centromeric region on bovine chromosome (BTA) 5 and the other BCSE locus mapped to the telomeric region of BTA18. Thus, it is possible that two genes are involved in the development of BCSE. Alternatively, one of these loci could be the cause for the development of BCSE and the other locus could affect the progression and severity of the defect.     

Relationship of growth hormone and insulin-like growth factor-1 genotypes with growth and carcass traits in swine

The contribution of chromosomal regions linked to growth hormone (GH) and insulin-like growth factor-1 (IGF-1) loci to variation in preweaning average daily gain, postweaning average daily gain (ADG), 10th rib backfat, loin-eye area and muscle pH were evaluated. Offspring of four purebred sires (A–D; n = 150, 195, 148 and 136, respectively) and two crossbred sires (E and F; n = 157 and 145, respectively) were genotyped initially with GH and IGF-1 markers. When results of single marker analysis suggested possible linkage with a quantitative trait locus (QTL), additional flanking markers were typed for the family and interval mapping was performed. Growth hormone genotype was not associated with the traits evaluated in the study. Evidence suggestive of linkage was found for IGF-1 genotype and ADG in one sire family (lod = 2·3) where differences were 0.032 ± 0·01 kg/day for alternative sire alleles. Evidence for a putative ADG QTL was greatest in the interval between IGF-1 and Sw1071. A similar genomic region has been associated with growth variation in mice; however, QTL mapping precision in the current study is insufficient to establish similarity.     

SNP detection and genetic mapping of porcine genes encoding enzymes in hepatic metabolic pathways and evaluation of linkage with carcass traits

We have previously identified and mapped porcine expressed sequence tags (ESTs) derived from genes that are preferentially expressed in liver. The aim of the present study was to identify single nucleotide polymorphisms (SNPs) in porcine genes encoding enzymes in hepatic metabolic pathways and use the SNPs for mapping. Furthermore, these genes, which are involved in utilization and partitioning of nutrients, were examined for their effects on carcass and meat quality traits by linkage analyses. In total, 100 ESTs were screened for SNPs by single strand conformation polymorphism analyses across a diverse panel of animals with a 36% success rate. Twelve of 36 polymorphic loci segregated in a three-generation Duroc x Berlin Miniature Pig (F2) resource population, the DUMI resource population, and were genetically mapped. Interval mapping of the corresponding chromosomes was performed to verify mapping of the genes within quantitative trait loci (QTL) regions detected in this resource population. QTL with genome-wide significance were detected in the vicinity of GNMT, ESTL147 and HGD. These loci therefore are positional candidate genes.     

基于CSSL的水稻抽穗期QTL定位及遗传分析

抽穗期是水稻（Oryza sativa）品种的重要农艺性状之一,适宜的抽穗期是获得理想产量的前提。鉴定和定位水稻抽穗期基因/QTL,分析其遗传效应对改良水稻抽穗期至关重要。以籼稻品种9311（Oryzasativa ssp.indica‘Yangdao 6’）为受体,粳稻品种日本晴（Oryza sativa ssp.japonica‘Nipponbare’）为供体构建的94个染色体片段置换系群体为材料,以P≤0.01为阈值,对置换片段上的抽穗期QTL进行了鉴定。采用代换作图法共定位了4个控制水稻抽穗期的QTL,分别位于第3、第4、第5和第8染色体;QTL的加性效应值变化范围为–6.4––2.7,加性效应百分率变化范围为–6.4%––2.7%;qHD-3和qHD-8加性效应值较大,表现主效基因特征。为了进一步定位qHD-3和qHD-8,在目标区域加密16对SSR引物,qHD-3和qHD-8分别被界定在第3染色体RM3166–RM16206之间及第8染色体RM4085–RM8271之间,其遗传距离分别为13.9cM和6.4cM。研究结果为利用分子标记辅助选择改良水稻抽穗期奠定了基础。     

Retracted: Screening of candidate genes and fine mapping of drought tolerance quantitative trait loci on chromosome 4 in rice (Oryza sativa L.) under drought stress

Due to severe water resource shortage, genetics of and breeding for DT (drought tolerance) in rice (Oryza sativa L.) have become one of the hot research topics. Identification of grain yield QTLs (quantitative trait loci) directly related to the DT trait of rice can provide useful information for breeding new drought‐resistant and water‐saving rice varieties via marker‐assisted selection. A population of 105 advanced BILs (backcross introgression lines) derived from a cross between Zhenshan97B and IRAT109 in Zhenshan97B background were grown under drought stress in a field experiment and phenotypic traits were investigated. The results showed that in the target interval of RM273‐RM255 on chromosome 4, three main‐effect QTLs related to panicle length, panicle number, and spikelet number per panicle were identified (LOD [logarithm of the odds] > 2.0). The panicle length‐related QTL had two loci located in the neighboring intervals of RM17308‐RM17305 and RM17349‐RM17190, which explained 18.80% and 20.42%, respectively, of the phenotypic variation, while the panicle number‐related QTL was identified in the interval of RM1354‐RM17308, explaining 11.47% of the phenotypic variation. As far as the spikelet number per panicle‐related QTL was concerned, it was found to be located in the interval of RM17308‐RM17305, which explained 28.08% of the phenotypic variation. Using the online Plant‐GE query system, a total of 13 matched ESTs (expressed sequence tags) were found in the target region, and of the 13 ESTs, 12 had corresponding predicted genes. For instance, the two ESTs CB096766 and CA765747 were corresponded to the same predicted gene LOC_Os04g46370, while the other four ESTs, CA754286, CB000011, CX056247, and CX056240, were corresponded to the same predicted gene LOC_Os04g46390.     

Quantitative trait loci mapping of flag-leaf ligule length in rice and alignment with ZmLG1 gene

A doubled haploid (DH) population,which consists of 120 lines dedved from anther culture of a typical Indica and japonica hybrid 'CJ06'/'TN1',was used in this study.Ligule lengths of flag leaf were investigated for quantitative trait loci (QTL) mapping using the DH population.Five QTLs (qLL-2,qLL-4,qLL-6,qLL-10 and qLL-12) controlling the ligule length (LL) were detected on chromosomes 2,4,6,10 and 12,with the variances explained 11.4%,13.6%,27.8%,22.1% and 11.0%,respectively.Using four known genes of ZmGL1,ZmGL2,ZmGL3 and ZmGL4 in maize from the MaizeGDB,their homologs in rice were aligned and integrated into the existing simple sequence repeats linkage map by in silico mapping.A ZmLG1 homolog gene,OsLG1 encoding a squamosa promoter binding protein,was located between the markers RM255 and RM280,which is just identical to the interval of qLL-4 on the long arm of chromosome 4.The results are beneficial to dissection of the ligule molecular mechanism and the study of cereal evolution.     

Molecular progress on the mapping and cloning of functional genes for blast disease in rice (Oryza sativa L.): current status and future considerations

Rice blast disease, which is caused by the fungal pathogen Magnaporthe oryzae, is a recurring problem in all rice-growing regions of the world. The use of resistance (R) genes in rice improvement breeding programmes has been considered to be one of the best options for crop protection and blast management. Alternatively, quantitative resistance conferred by quantitative trait loci (QTLs) is also a valuable resource for the improvement of rice disease resistance. In the past, intensive efforts have been made to identify major R-genes as well as QTLs for blast disease using molecular techniques. A review of bibliographic references shows over 100 blast resistance genes and a larger number of QTLs (～500) that were mapped to the rice genome. Of the blast resistance genes, identified in different genotypes of rice, ～22 have been cloned and characterized at the molecular level. In this review, we have summarized the reported rice blast resistance genes and QTLs for utilization in future molecular breeding programmes to introgress high-degree resistance or to pyramid R-genes in commercial cultivars that are susceptible to M. oryzae. The goal of this review is to provide an overview of the significant studies in order to update our understanding of the molecular progress on rice and M. oryzae. This information will assist rice breeders to improve the resistance to rice blast using marker-assisted selection which continues to be a priority for rice-breeding programmes.     

Quantitative Trait Loci Mapping of Flag-leaf Ligule Length in Rice and Alignment with ZmLG1 Gene

A doubled haploid （DH） population, which consists of 120 lines derived from anther culture of a typical indica and japonica hybrid‘CJ06＇/‘TNI＇, was used in this study. Ligule lengths of flag leaf were investigated for quantitative trait loci （QTL） mapping using the DH population. Five QTLs （qLL-2, qLL.4, qLL-6, qLL-IO and qLL-12） controlling the ligule length （LL） were detected on chromosomes 2, 4, 6, 10 and 12, with the variances explained 11.4%, 13.6%, 27.8%, 22.1% and 11.0%, respectively. Using four known genes of ZmGL1, ZmGL2, ZmGL3 and ZmGL4 in maize from the MaizeGDB, their homologs in rice were aligned and integrated into the existing simple sequence repeats linkage map by in silico mapping. A ZmLG1 homolog gene, OsLG1 encoding a squamosa promoter binding protein, was located between the markers RM255 and RM280, which is just identical to the interval of qLL.4 on the long arm of chromosome 4. The results are beneficial to dissection of the ligule molecular mechanism and the study of cereal evolution.     

水稻茎秆形态结构特征和化学成分与抗倒伏关系综述

水稻茎秆形态结构特征和化学成分与其抗倒伏性能相关。本文对水稻茎秆高度、茎秆基部第1、2节间长度、茎秆粗细、茎壁厚度、厚壁组织(机械组织)数量和强度、维管束数量、细胞壁纤维素和木质素含量、细胞中碳水化合物积累的数量、硅与钾的含量以及茎秆抗倒伏相关的QTL等与水稻的抗倒伏性的相互关系进行了综述,为水稻抗倒伏优良品种性状的选育提供参考。