scholarly journals De novo assembly, annotation, and comparative analysis of 26 diverse maize genomes

Science ◽  
2021 ◽  
Vol 373 (6555) ◽  
pp. 655-662
Author(s):  
Matthew B. Hufford ◽  
Arun S. Seetharam ◽  
Margaret R. Woodhouse ◽  
Kapeel M. Chougule ◽  
Shujun Ou ◽  
...  

We report de novo genome assemblies, transcriptomes, annotations, and methylomes for the 26 inbreds that serve as the founders for the maize nested association mapping population. The number of pan-genes in these diverse genomes exceeds 103,000, with approximately a third found across all genotypes. The results demonstrate that the ancient tetraploid character of maize continues to degrade by fractionation to the present day. Excellent contiguity over repeat arrays and complete annotation of centromeres revealed additional variation in major cytological landmarks. We show that combining structural variation with single-nucleotide polymorphisms can improve the power of quantitative mapping studies. We also document variation at the level of DNA methylation and demonstrate that unmethylated regions are enriched for cis-regulatory elements that contribute to phenotypic variation.

Author(s):  
Matthew B. Hufford ◽  
Arun S. Seetharam ◽  
Margaret R. Woodhouse ◽  
Kapeel M. Chougule ◽  
Shujun Ou ◽  
...  

AbstractWe report de novo genome assemblies, transcriptomes, annotations, and methylomes for the 26 inbreds that serve as the founders for the maize nested association mapping population. The data indicate that the number of pan-genes exceeds 103,000 and that the ancient tetraploid character of maize continues to degrade by fractionation to the present day. Excellent contiguity over repeat arrays and complete annotation of centromeres further reveal the locations and internal structures of major cytological landmarks. We show that combining structural variation with SNPs can improve the power of quantitative mapping studies. Finally, we document variation at the level of DNA methylation, and demonstrate that unmethylated regions are enriched for cis-regulatory elements that overlap QTL and contribute to changes in gene expression.One sentence summaryA multi-genome analysis of maize reveals previously unknown variation in gene content, genome structure, and methylation.


Author(s):  
Harini Venkata Subbiah ◽  
Usha Subbiah ◽  
Athira Ajith

Dental caries is a multifactorial disease that affects a large proportion of the population with both genetic and environmental factors contributing to the disease. Even in healthy oral environmental conditions, some individuals are susceptible to dental caries due to potential genetic contribution. Antimicrobial peptides are expressed in oral cavity and play an important role against microbial colonization and form an important first line defense against cariogenic bacteria. In the present study, we attempt to identify genetic variants that would cause significant functional impact towards susceptibility to dental caries. We investigated single nucleotide polymorphisms (SNPs) of beta-defensin 1 (DEFB1) as predictors of dental caries in tamil ethnic population. A total of 120 subjects were recruited for this study, which included 60 dental caries patients (DMFT>5) and 60 healthy controls (DMFT=0). Three SNPs of 5’UTR regulatory elements of DEFB1 were genotyped by PCR followed by Sanger sequencing. The genotypes associated with susceptibility to caries were found to be significant between rs11362 (p=.025, odds ratio = 3.72, 95% confidence interval (CI) = 1.289-10.742), rs1799946 (p=.023, odds ratio=4.32, 95% CI = 1.33-14.028) gene polymorphisms and risk of dental caries (DMFT>5) in tamil ethnicity. The variant genotype GG of rs1800972 polymorphism was found to be high in cases than controls but was not significant (p=0.136). Our data suggested that β-defensin 1 polymorphisms play a role in the susceptibility to dental caries.


2015 ◽  
Author(s):  
Sanaa Afroz Ahmed ◽  
Chien-Chi Lo ◽  
Po-E Li ◽  
Karen W Davenport ◽  
Patrick S.G. Chain

Next-generation sequencing is increasingly being used to examine closely related organisms. However, while genome-wide single nucleotide polymorphisms (SNPs) provide an excellent resource for phylogenetic reconstruction, to date evolutionary analyses have been performed using different ad hoc methods that are not often widely applicable across different projects. To facilitate the construction of robust phylogenies, we have developed a method for genome-wide identification/characterization of SNPs from sequencing reads and genome assemblies. Our phylogenetic and molecular evolutionary (PhaME) analysis software is unique in its ability to take reads and draft/complete genome(s) as input, derive core genome alignments, identify SNPs, construct phylogenies and perform evolutionary analyses. Several examples using genomes and read datasets for bacterial, eukaryotic and viral linages demonstrate the broad and robust functionality of PhaME. Furthermore, the ability to incorporate raw metagenomic reads from clinical samples with suspected infectious agents shows promise for the rapid phylogenetic characterization of pathogens within complex samples.


2020 ◽  
Author(s):  
Nicholas C Palmateer ◽  
Kyle Tretina ◽  
Joshua Orvis ◽  
Olukemi O Ifeonu ◽  
Jonathan Crabtree ◽  
...  

AbstractTheileria parva is an economically important, intracellular, tick-transmitted parasite of cattle. A live vaccine against the parasite is effective against challenge from cattle-transmissible T. parva but not against genotypes originating from the African Cape buffalo, a major wildlife reservoir, prompting the need to characterize genome-wide variation within and between cattle- and buffalo-associated T. parva populations. Here, we describe a capture-based target enrichment approach that enables, for the first time, de novo assembly of nearly complete T. parva genomes derived from infected host cell lines. This approach has exceptionally high specificity and sensitivity and is successful for both cattle- and buffalo-derived T. parva parasites. De novo genome assemblies generated for cattle genotypes differ from the reference by ∼54K single nucleotide polymorphisms (SNPs) throughout the 8.31 Mb genome, an average of 6.5 SNPs/kb. We report the first buffalo-derived T. parva genome, which is larger than the genome from the reference, cattle-derived, Muguga strain. The average non-synonymous nucleotide diversity (πN) per gene, between buffalo-derived T. parva and the Muguga strain, was 1.3%. This remarkably high level of genetic divergence is supported by an average FST, genome-wide, of 0.44, reflecting a degree of genetic differentiation between cattle- and buffalo-derived T. parva parasites more commonly seen between, rather than within, species, with clear implications for vaccine development. The DNA capture approach used provides clear advantages over alternative T. parva DNA enrichment methods used previously and enables in-depth comparative genomics in this apicomplexan parasite.


2020 ◽  
Vol 47 (5) ◽  
pp. 385-395
Author(s):  
Brigitte K. Flesch ◽  
Angelika Reil ◽  
Núria Nogués ◽  
Carme Canals ◽  
Peter Bugert ◽  
...  

Background: The human neutrophil antigen 2 (HNA-2), which is expressed on CD177, is undetectable in 3–5% of the normal population. Exposure of these HNA-2null individuals to HNA-2-positive cells can cause immunization and pro­duction of HNA-2 antibodies, which can induce immune neutropenia and transfusion-related acute lung injury. In HNA-2-positive individuals, neutrophils are divided into a CD177pos. and a CD177neg. subpopulation. The molecular background of HNA-2 deficiency and the bimodal expression pattern, however, are not completely decoded. Study Design: An international collaboration was conducted on the genetic analysis of HNA-2-phenotyped blood samples, including HNA-2-deficient individuals, mothers, and the respective children with neonatal immune neutropenia and regular blood donors. Results: From a total of 54 HNA-2null individuals, 43 were homozygous for the CD177*787A>T substitution. Six carried the CD177*c.1291G>A single nucleotide polymorphism. All HNA-2-positive samples with >40% CD177pos. neutrophils carried the *787A wild-type allele, whereas a lower rate of CD177pos. neutrophils was preferentially associated with *c.787AT heterozygosity. Interestingly, only the *c.787A allele sequence was detected in complementary DNA (cDNA) sequence analysis carried out on all *c.787AT heterozygous individuals. However, cDNA analysis after sorting of CD177pos. and CD177neg. neutrophil subsets from HNA-2-positive individuals showed identical sequences, which makes regulatory elements within the promoter unlikely to affect CD177 gene transcription in different CD177 neutrophil subsets. Conclusion: This comprehensive study clearly demonstrates the impact of single nucleotide polymorphisms on the expression of HNA-2 on the neutrophil surface but challenges the hypothesis of regulatory epigenetic effects being implicated in the bimodal CD177 expression pattern.


2015 ◽  
Vol 53 (10) ◽  
pp. 3141-3147 ◽  
Author(s):  
M. D. Cairns ◽  
M. D. Preston ◽  
T. D. Lawley ◽  
T. G. Clark ◽  
R. A. Stabler ◽  
...  

Clostridium difficileremains the leading cause of nosocomial diarrhea worldwide, which is largely considered to be due to the production of two potent toxins: TcdA and TcdB. However, PCR ribotype (RT) 017, one of five clonal lineages of human virulentC. difficile, lacks TcdA expression but causes widespread disease. Whole-genome sequencing was applied to 35 isolates from hospitalized patients withC. difficileinfection (CDI) and two environmental ward isolates in London, England. The phylogenetic analysis of single nucleotide polymorphisms (SNPs) revealed a clonal cluster of temporally variable isolates from a single hospital ward at University Hospital Lewisham (UHL) that were distinct from other London hospital isolates.De novoassembled genomes revealed a 49-kbp putative conjugative transposon exclusive to this hospital clonal cluster which would not be revealed by current typing methodologies. This study identified three sublineages ofC. difficileRT017 that are circulating in London. Similar to the notorious RT027 lineage, which has caused global outbreaks of CDI since 2001, the lineage of toxin-defective RT017 strains appears to be continually evolving. By utilization of WGS technologies to identify SNPs and the evolution of clonal strains, the transmission of outbreaks caused by near-identical isolates can be retraced and identified.


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