scholarly journals Labile sex chromosomes and a novel candidate sex-determination gene in the Australian freshwater fish family Percichthyidae

Author(s):  
Alexandra Pavlova ◽  
Katherine Harrisson ◽  
Rustam Turakulov ◽  
Yin Peng Lee ◽  
Brett Ingram ◽  
...  

Sex-specific ecology has management implications, but rapid sex-chromosome turnover in fishes hinders development of markers to sex monomorphic species. Here, we use annotated genomes and reduced-representation sequencing data for two Australian percichthyids, the Macquarie perch Macquaria australasica and the golden perch M. ambigua, and whole genome resequencing data for 50 Macquarie perch of each sex, to detect sex-linked loci, identify a candidate sex-determining gene and develop an affordable sexing assay. In-silico pool-seq tests of 1,492,004 Macquarie perch SNP loci revealed that a 275-Kb scaffold, containing the transcription factor SOX1b gene, was enriched for gametologous loci. Within this scaffold, 22 loci were sex-linked in a predominantly XY system, with females being homozygous at all 22, and males being heterozygous at two or more. Seven XY-gametologous loci were within a 146-bp region. Being ~38 Kb upstream of SOX1b, it might act as an enhancer controlling SOX1b transcription in the bipotential gonad that drives gonad differentiation. A PCR-RFLP sexing assay, targeting one of the Y-linked SNPs, tested in 66 known-sex Macquarie perch and two individuals of each sex of three confamilial species, and amplicon sequencing of 400 bp encompassing the 146-bp region, revealed that the few sex-linked positions differ between species and between Macquarie perch populations. This indicates sex-chromosome lability in Percichthyidae, also supported by non-homologous scaffolds containing sex-linked loci for Macquarie- and golden perches. The resources developed here will facilitate genomic research in Percichthyidae. Sex-linked markers will be useful for determining genetic sex in some populations and studying sex chromosome turnover.

Author(s):  
Srinidhi Varadharajan ◽  
Pasi Rastas ◽  
Ari Löytynoja ◽  
Michael Matschiner ◽  
Federico C F Calboli ◽  
...  

Abstract The Gasterosteidae fish family hosts several species that are important models for eco-evolutionary, genetic and genomic research. In particular, a wealth of genetic and genomic data has been generated for the three-spined stickleback (Gasterosteus aculeatus), the ‘ecology’s supermodel’, while the genomic resources for the nine-spined stickleback (Pungitius pungitius) have remained relatively scarce. Here, we report a high-quality chromosome-level genome assembly of P. pungitius consisting of 5,303 contigs (N50 = 1.2 Mbp) with a total size of 521 Mbp. These contigs were mapped to 21 linkage groups using a high-density linkage map, yielding a final assembly with 98.5% BUSCO completeness. A total of 25,062 protein-coding genes were annotated, and ca. 23% of the assembly was found to consist of repetitive elements. A comprehensive analysis of repetitive elements uncovered centromeric-specific tandem repeats and provided insights into the evolution of retrotransposons. A multigene phylogenetic analysis inferred a divergence time of about 26 million years (MYA) between nine- and three-spined sticklebacks, which is far older than the commonly assumed estimate of 13 MYA. Compared to the three-spined stickleback, we identified an additional duplication of several genes in the hemoglobin cluster. Sequencing data from populations adapted to different environments indicated potential copy number variations in hemoglobin genes. Furthermore, genome-wide synteny comparisons between three- and nine-spined sticklebacks identified chromosomal rearrangements underlying the karyotypic differences between the two species. The high-quality chromosome-scale assembly of the nine-spined stickleback genome obtained with long-read sequencing technology provides a crucial resource for comparative and population genomic investigations of stickleback fishes and teleosts.


2019 ◽  
Author(s):  
Srinidhi Varadharajan ◽  
Pasi Rastas ◽  
Ari Löytynoja ◽  
Michael Matschiner ◽  
Federico C. F. Calboli ◽  
...  

AbstractThe Gasterostidae fish family hosts several species that are important models for eco-evolutionary, genetic and genomic research. In particular, a wealth of genetic and genomic data have been generated for the three-spined stickleback (Gasterosteus aculeatus), the ‘ecology’s supermodel’, while the genomic resources for the nine-spined stickleback (Pungitius pungitius) have remained relatively scarce. Here, we report a high-quality chromosome-level genome assembly of P. pungitius consisting of 5,303 contigs (N50 = 1.2 Mbp) with a total size of 521 Mbp. These contigs were mapped to 21 linkage groups using a high-density linkage map, yielding a final assembly with 98.5% BUSCO completeness. A total of 25,062 protein-coding genes were annotated, and ca. 23% of the assembly was found to consist of repetitive elements. A comprehensive analysis of repetitive elements uncovered centromeric-specific tandem repeats and provided insights into the evolution of retrotransposons. A multigene phylogenetic analysis inferred a divergence time of about 26 million years (MYA) between nine- and three-spined sticklebacks, which is far older than the commonly assumed estimate of 13 MYA. Compared to the three-spined stickleback, we identified an additional duplication of several genes in the hemoglobin cluster. Sequencing data from populations adapted to different environments indicated potential copy number variations in hemoglobin genes. Furthermore, genome-wide synteny comparisons between three- and nine-spined sticklebacks identified chromosomal rearrangements underlying the karyotypic differences between the two species. The high-quality chromosome-scale assembly of the nine-spined stickleback genome obtained with long-read sequencing technology provides a crucial resource for comparative and population genomic investigations of stickleback fishes and teleosts.


Author(s):  
Alexandra Pavlova ◽  
Katherine Harrisson ◽  
Rustam Turakulov ◽  
Yin Peng Lee ◽  
Brett Ingram ◽  
...  

Understanding sex-specific biology can aid conservation management. But understanding genomic sex differences of monomorphic fish species and developing molecular sexing assays is challenged by their diverse sex-determination systems. To facilitate research on Percichthyid fish, predominant in the Australian freshwater biota, we report whole genome sequences and annotations of the endangered Macquarie perch Macquaria australasica and its sister species, the golden perch M. ambigua. To identify sex-linked loci, we conducted whole genome resequencing on 100 known-sex Macquarie perch. In-silico pool-seq comparisons revealed few sex differences, but a 275-Kb SOX-containing scaffold was enriched for gametologous loci- homozygous in females, heterozygous in males. Within this scaffold we reconstructed X- and Y-linked 146-bp haplotypes containing 5 sex-linked SNPs, ~38 Kb upstream of SOX, and developed a PCR-RFLP sexing assay targeting the Y-linked allele of one SNP. We tested this assay in a panel of known-sex Macquarie perch, and smaller panels of three other confamilial species. Amplicon sequencing of 400 bp encompassing the 146-bp region revealed that the few sex-linked positions differ interspecifically, and within Macquarie perch such that its sexing test approached 100% reliability only for the populations used in assay development. Similarly, Macquarie- and golden perch genome-wide DArTseq SNPs revealed different sex-linked loci across non-homologous scaffolds. Overall, we identified 22 sex-linked SNPs in Macquarie perch in a predominantly XX/XY system in which females are homozygous at all 22, and males are heterozygous at 2 or more. The resources here will facilitate multi-locus sexing assays for both species and research on Percichthyid biology.


2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Oksana Kutsyr ◽  
Lucía Maestre-Carballa ◽  
Mónica Lluesma-Gomez ◽  
Manuel Martinez-Garcia ◽  
Nicolás Cuenca ◽  
...  

AbstractThe gut microbiome is known to influence the pathogenesis and progression of neurodegenerative diseases. However, there has been relatively little focus upon the implications of the gut microbiome in retinal diseases such as retinitis pigmentosa (RP). Here, we investigated changes in gut microbiome composition linked to RP, by assessing both retinal degeneration and gut microbiome in the rd10 mouse model of RP as compared to control C57BL/6J mice. In rd10 mice, retinal responsiveness to flashlight stimuli and visual acuity were deteriorated with respect to observed in age-matched control mice. This functional decline in dystrophic animals was accompanied by photoreceptor loss, morphologic anomalies in photoreceptor cells and retinal reactive gliosis. Furthermore, 16S rRNA gene amplicon sequencing data showed a microbial gut dysbiosis with differences in alpha and beta diversity at the genera, species and amplicon sequence variants (ASV) levels between dystrophic and control mice. Remarkably, four fairly common ASV in healthy gut microbiome belonging to Rikenella spp., Muribaculaceace spp., Prevotellaceae UCG-001 spp., and Bacilli spp. were absent in the gut microbiome of retinal disease mice, while Bacteroides caecimuris was significantly enriched in mice with RP. The results indicate that retinal degenerative changes in RP are linked to relevant gut microbiome changes. The findings suggest that microbiome shifting could be considered as potential biomarker and therapeutic target for retinal degenerative diseases.


2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Caitlin M. Singleton ◽  
Francesca Petriglieri ◽  
Jannie M. Kristensen ◽  
Rasmus H. Kirkegaard ◽  
Thomas Y. Michaelsen ◽  
...  

AbstractMicroorganisms play crucial roles in water recycling, pollution removal and resource recovery in the wastewater industry. The structure of these microbial communities is increasingly understood based on 16S rRNA amplicon sequencing data. However, such data cannot be linked to functional potential in the absence of high-quality metagenome-assembled genomes (MAGs) for nearly all species. Here, we use long-read and short-read sequencing to recover 1083 high-quality MAGs, including 57 closed circular genomes, from 23 Danish full-scale wastewater treatment plants. The MAGs account for ~30% of the community based on relative abundance, and meet the stringent MIMAG high-quality draft requirements including full-length rRNA genes. We use the information provided by these MAGs in combination with >13 years of 16S rRNA amplicon sequencing data, as well as Raman microspectroscopy and fluorescence in situ hybridisation, to uncover abundant undescribed lineages belonging to important functional groups.


2021 ◽  
Vol 11 (2) ◽  
pp. 131
Author(s):  
Laura B. Scheinfeldt ◽  
Andrew Brangan ◽  
Dara M. Kusic ◽  
Sudhir Kumar ◽  
Neda Gharani

Pharmacogenomics holds the promise of personalized drug efficacy optimization and drug toxicity minimization. Much of the research conducted to date, however, suffers from an ascertainment bias towards European participants. Here, we leverage publicly available, whole genome sequencing data collected from global populations, evolutionary characteristics, and annotated protein features to construct a new in silico machine learning pharmacogenetic identification method called XGB-PGX. When applied to pharmacogenetic data, XGB-PGX outperformed all existing prediction methods and identified over 2000 new pharmacogenetic variants. While there are modest pharmacogenetic allele frequency distribution differences across global population samples, the most striking distinction is between the relatively rare putatively neutral pharmacogene variants and the relatively common established and newly predicted functional pharamacogenetic variants. Our findings therefore support a focus on individual patient pharmacogenetic testing rather than on clinical presumptions about patient race, ethnicity, or ancestral geographic residence. We further encourage more attention be given to the impact of common variation on drug response and propose a new ‘common treatment, common variant’ perspective for pharmacogenetic prediction that is distinct from the types of variation that underlie complex and Mendelian disease. XGB-PGX has identified many new pharmacovariants that are present across all global communities; however, communities that have been underrepresented in genomic research are likely to benefit the most from XGB-PGX’s in silico predictions.


GigaScience ◽  
2017 ◽  
Vol 6 (2) ◽  
Author(s):  
Mohamed Mysara ◽  
Mercy Njima ◽  
Natalie Leys ◽  
Jeroen Raes ◽  
Pieter Monsieurs

Author(s):  
Mahan Narjabadifam ◽  
Morteza Bonyadi ◽  
Seyed Abbas Rafat ◽  
Reza Mahdavi ◽  
Fereshteh Aliasghari

BACKGROUND: Obesity, as a medical condition, results from interactions between environmental and genetic factors. The rs17782313 polymorphism, located 188kb downstream of the Melanocortin 4 Receptor (MC4R) gene, is one of the essential candidate genetic markers that has shown the highest association with obesity in different populations. OBJECTIVE: This study aimed to investigate the possible associations of rs17782313 polymorphism near the MC4R gene with obesity/overweight, body mass index (BMI), and hedonic hunger among women from the Iranian Azeri ethnic group. METHODS: Five hundred sixty-three women, composed of 396 patients with obesity/overweight and 167 unrelated healthy controls, were genotyped for the rs17782313 polymorphism by applying the polymerase chain reaction-restriction fragment length polymorphism (PCR–RFLP) method. RESULTS: This population was in Hardy-Weinberg equilibrium (P = 0.878). The study confirmed a significant association of rs17782313 with obesity, where subjects carrying the C/C genotype had higher odds of obesity (OR = 2.681, P = 0.005, 95%CI:1.340–5.365). Also, C allele carriers have statistically significantly higher BMI scores than those carrying the T allele (P = 0.029). However, no significant associations were found among PFS scores and genotypic/allelic groups of rs17782313 polymorphism (P = 0.368). CONCLUSIONS: Our findings suggest that rs17782313 polymorphism is strongly associated with obesity and BMI but not with hedonic hunger among Northwest Iran women. Moreover, the sequencing data analysis in several homozygous and heterozygous carriers of the C allele led to identifying a novel frameshift variant with TCT deletion (rs534212081) in the 166 upstream of rs17782313, which has not been reported so far.


2018 ◽  
Vol 49 (6) ◽  
pp. 579-591 ◽  
Author(s):  
Zhe Zhang ◽  
Qianqian Zhang ◽  
Qian Xiao ◽  
Hao Sun ◽  
Hongding Gao ◽  
...  

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