A Genome Wide Association Study for Longevity in Cattle

Longevity is regarded as the most important functional trait in cattle breeding with high economic value yet low heritability. In order to identify genomic regions associated with longevity, a genome wise association study was performed using data from 4887 Fleckvieh bulls and 33,556 SNPs after quality control. Single SNP regression was used for identification of important SNPs including eigenvectors as a means of correction for population structure. SNPs selected with a false discovery rate threshold of 0.05 and with local false discovery rate identified genomic regions associated with longevity which were subsequently cross checked with the National Center for Biotechnology Information (NCBI) database. This, to identify interesting genes in cattle and their homologue forms in other species. The most notable genes were SYT10 located on chromosome 5, ADAMTS3 on chromosome 6, NTRK2 on chromosome 8 and SNTG1 on chromosome 14 of the cattle genome. Several of the genes found have previously been associated with cattle fertility. Poor fertility is an important culling reason and thereby affects longevity in cattle. Several signals were located in regions sparse with described genes, which suggest that there might be several other non-identified genetic pathways for this important trait.

Genome Wide Association Study: Searching for Genes Underlying Body Mass Index in the Chinese

Objective Obesity is becoming a worldwide health problem. The genome wide association （GWA） study particularly for body mass index （BMI） has not been successfully conducted in the Chinese. In order to identify novel genes for BMI variation in the Chinese, an initial GWA study and a follow up replication study were performed. Methods Affymetrix 500K SNPs were genotyped for initial GWA of 597 Northern Chinese. After quality control, 281 533 SNPs were included in the association analysis. Three SNPs were genotyped in a Southern Chinese replication sample containing 2 955 Chinese Han subjects. Association analyses were performed by Plink software. Results Eight SNPs were significantly associated with BMI variation after false discovery rate （FDR） correction （P=5.45×10-7-7.26×106, FDR q=0.033-0.048）. Two adjacent SNPs （rs4432245 ＆ rs711906） in the eukaryotic translation initiation factor 2 alpha kinase 4 （EIF2AK4） gene were significantly associated with BMI （P=6.38×10-6＆ 4.39×106, FDR q=0.048）. In the follow-up replication study, we confirmed the associations between BMI and rs4432245, rs711906 in the EIF2AKE gene （P=0.03 ＆ 0.01, respectively）. Conclusion Our study suggests novel mechanisms for BMI, where EIF2AK4 has exerted a profound effect on the synthesis and storage of triglycerides and may impact on overall energy homeostasis associated with obesity. The minor allele frequencies for the two SNPs in the EIF2AK4 gene have marked ethnic differences between Caucasians and the Chinese. The association of the EIF2AK4 gene with BMI is suggested to be ＇ethnic specific＇ in the Chinese.

Methylome and transcriptome data integration reveals potential roles of DNA methylation and candidate biomarkers of cow Streptococcus uberis subclinical mastitis

Background:Mastitis caused by different pathogens including Streptococcus uberis(S.uberis)is responsible for huge economic losses to the dairy industry.In order to investigate the potential genetic and epigenetic regulatory mecha‑nisms of subclinical mastitis due to S.uberis,the DNA methylome(whole genome DNA methylation sequencing)and transcriptome(RNA sequencing)of milk somatic cells from cows with naturally occurring S.uberis subclinical mastitis and healthy control cows(n=3/group)were studied.Results:Globally,the DNA methylation levels of CpG sites were low in the promoters and first exons but high in inner exons and introns.The DNA methylation levels at the promoter,first exon and first intron regions were nega‑tively correlated with the expression level of genes at a whole‑genome‑wide scale.In general,DNA methylation level was lower in S.uberis‑positive group(SUG)than in the control group(CTG).A total of 174,342 differentially methylated cytosines(DMCs)(FDR<0.05)were identified between SUG and CTG,including 132,237,7412 and 34,693 DMCs in the context of CpG,CHG and CHH(H=A or T or C),respectively.Besides,101,612 methylation haplotype blocks(MHBs)were identified,including 451 MHBs that were significantly different(dMHB)between the two groups.A total of 2130 differentially expressed(DE)genes(1378 with up‑regulated and 752 with down‑regulated expression)were found in SUG.Integration of methylome and transcriptome data with MethGET program revealed 1623 genes with signifi‑cant changes in their methylation levels and/or gene expression changes(MetGDE genes,MethGET P‑value<0.001).Functional enrichment of genes harboring≥15 DMCs,DE genes and MetGDE genes suggest significant involvement of DNA methylation changes in the regulation of the host immune response to S.uberis infection,especially cytokine activities.Furthermore,discriminant correlation analysis with DIABLO method identified 26 candidate biomarkers,including 6 DE genes,15 CpG‑DMCs and 5 dMHBs that discriminated between SUG and CTG.Conclusion:The integration of methylome and transcriptome of milk somatic cells suggests the possible involve‑ment of DNA methylation changes in the regulation of the host immune response to subclinical mastitis due to S.uberis.The presented genetic and epigenetic biomarkers could contribute to the design of management strategies of subclinical mastitis and breeding for mastitis resistance.

Inflammation,microbiome and colorectal cancer disparity in African-Americans:Are there bugs in the genetics?

Dysregulated interactions between host inflammation and gut microbiota over the course of life increase the risk of colorectal cancer(CRC).While environmental factors and socio-economic realities of race remain predominant contributors to CRC disparities in African-Americans(AAs),this review focuses on the biological mediators of CRC disparity,namely the under-appreciated influence of inherited ancestral genetic regulation on mucosal innate immunity and its interaction with the microbiome.There remains a poor understanding of mechanisms linking immune-related genetic polymorphisms and microbiome diversity that could influence chronic inflammation and exacerbate CRC disparities in AAs.A better understanding of the relationship between host genetics,bacteria,and CRC pathogenesis will improve the prediction of cancer risk across race/ethnicity groups overall.

Association mapping and domestication analysis to dissect genetic improvement process of upland cotton yield-related traits in China

Background: Cotton fiber yield is a complex trait,which can be influenced by multiple agronomic traits.Unravelling the genetic basis of cotton fiber yield-related traits contributes to genetic improvement of cotton.Results: In this study,503 upland cotton varieties covering the four breeding stages(BS1–BS4,1911–2011)in China were used for association mapping and domestication analysis.One hundred and forty SSR markers significantly associated with ten fiber yield-related traits were identified,among which,29 markers showed an increasing trend contribution to cotton yield-related traits from BS1 to BS4,and 26 markers showed decreased trend effect.Four favorable alleles of 9 major loci(R^(2)≥3)were strongly selected during the breeding stages,and the candidate genes of the four strongly selected alleles were predicated according to the gene function annotation and tissue expression data.Conclusions :The study not only uncovers the genetic basis of 10 cotton yield-related traits but also provides genetic evidence for cotton improvement during the cotton breeding process in China.

Identification of SSR markers linked to the abscission of cotton boll traits and mining germplasm in Cotton

Background Cotton is an economically important crop.It is crucial to find an effective method to improve cotton yield,and one approach is to decrease the abscission of cotton bolls and buds.However,the lack of knowledge of the genetic and molecular mechanisms underlying cotton boll abscission traits has hindered genetic improvements.Results Pearson’s correlation analysis revealed a significant positive correlation between boll abscission rates 1(AR1)and boll abscission rates 2(AR2).A genome-wide association study was conducted on 145 loci that exhibited high polymorphism and were uniformly distributed across 26 chromosomes(pair).The study revealed 18,46,and 62 markers that were significantly associated with boll abscission,fiber quality,and yield traits(P<0.05),explaining 1.75%–7.13%,1.16%–9.58%,and 1.40%–5.44%of the phenotypic variation,respectively.Notably,the marker MON_SHIN-1584b was associated with the cotton boll abscission trait,whereas MON_CGR5732a was associated with cotton boll abscission and fiber quality traits.Thirteen of the marker loci identified in this study had been previously reported.Based on phenotypic effects,six typical cultivars with elite alleles related to cotton boll abscission,fiber quality,and yield traits were identified.These cultivars hold great promise for widespread utilization in breeding programs.Conclusions These results lay the foundation for understanding the molecular regulatory mechanism of cotton boll abscission and provide data for the future improvement of cotton breeding.

GhAP1-D3 positively regulates flowering time and early maturity with no yield and fiber quality penalties in upland cotton

Flowering time(FTi)is a major factor determining how quickly cotton plants reach maturity.Early maturity greatly affects lint yield and fiber quality and is crucial for mechanical harvesting of cotton in northwestern China.Yet,few quantitative trait loci(QTLs)or genes regulating early maturity have been reported in cotton,and the underlying regulatory mechanisms are largely unknown.In this study,we characterized 152,68,and 101 loci that were significantly associated with the three key early maturity traits—FTi,flower and boll period(FBP)and whole growth period(WGP),respectively,via four genome-wide association study methods in upland cotton(Gossypium hirsutum).We focused on one major early maturity-related genomic region containing three single nucleotide polymorphisms on chromosome D03,and determined that GhAP1-D3,a gene homologous to Arabidopsis thaliana APETALA1(AP1),is the causal locus in this region.Transgenic plants overexpressing GhAP1-D3 showed significantly early flowering and early maturity without penalties for yield and fiber quality compared to wild-type(WT)plants.By contrast,the mutant lines of GhAP1-D3 generated by genome editing displayed markedly later flowering than the WT.GhAP1-D3 interacted with GhSOC1(SUPPRESSOR OF OVEREXPRESSION OF CONSTANS 1),a pivotal regulator of FTi,both in vitro and in vivo.Changes in GhAP1-D3 transcript levels clearly affected the expression of multiple key flowering regulatory genes.Additionally,DNA hypomethylation and high levels of H3K9ac affected strong expression of GhAP1-D3 in early-maturing cotton cultivars.We propose that epigenetic modifications modulate GhAP1-D3 expression to positively regulate FTi in cotton through interaction of the encoded GhAP1 with GhSOC1 and affecting the transcription of multiple flowering-related genes.These findings may also lay a foundation for breeding early-maturing cotton varieties in the future.

Disease Resistance in Maize and the Role of Molecular Breeding in Defending Against Global Threat

Diseases are a potential threat to global food security but plants have evolved an extensive array of methodologies to cope with the invading pathogens. Non-host resistance and quantitative re- sistance are broad spectrum forms of resistance, and all kinds of resistances are controlled by extremely diverse genes called ＂R- genes＂. R-genes follow different mechanisms to defend plants and PAMP-induced defenses in susceptible host plants are referred to as basal resistance. Genetic and phenotypic diversity are vital in maize （Zea mays L.）; as such, genome wide association study （GWAS） along with certain other methodologies can explore the maximum means of genetic diversity. Exploring the complete genetic archi- tecture to manipulate maize genetically reduces the losses from hazardous diseases. Genomic studies can reveal the interaction be- tween different genes and their pathways. By confirming the specific role of these genes and protein-protein interaction （proteomics） via advanced molecular and bioinformatics tools, we can shed a light on the most complicated and abstruse phenomena of resistance.

A novel candidate locus on chromosome 11p14.1-p11.2 for autosomal dominant hereditary spastic paraplegia

Background Hereditary spastic paraplegia （HSP） is a group of inherited neurodegenerative disorders with the shared characteristics of slowly progressive spasticity and weakness of the lower limbs. Thirteen loci for autosomal dominant HSP have been mapped. Methods A Chinese family with HSP was found in the Shandong province and Inner Mongolia Autonomous Region of China and genomic DNA of all 19 family members was isolated. After exclusion of known autosomal dominant loci, a genome wide scan and linkage analysis were performed. Results The known autosomal dominant loci of SPG3A, SPG4, SPG6, SPG8, SPG9, SPG10, SPG12, SPG13, SPG17, SPG19, SPG29, SPG31 and SPG33 were excluded by linkage analysis. The results of a genome wide scan demonstrated candidate linkage to a locus on chromosome 11 p14.1-p11.2, over an 18.88 cM interval between markers D11 S1324 and D11 S1933. A maximal, two point LOD score of 2.36 for marker D11S935 at a recombination fraction （e） of 0 and a multipoint LOD score of 2.36 for markers D11S1776, D11S1751, D11S1392, D11S4203, D11S935, D11S4083, and D11S4148 at θ=0, suggest linkage to this locus. Conclusion The HSP neuropathy in this family may represent a novel genetic entity, which will facilitate discovery of this causative gene.