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Horse Y chromosome assembly displays unique evolutionary features and putative stallion fertility genes.

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TLDR
This study presents an annotated assembly of the male specific region of the horse Y chromosome (eMSY), representing the first comprehensive Y assembly in odd-toed ungulates and provides a reference sequence for improved understanding of equine male development and fertility.
Abstract
Dynamic evolutionary processes and complex structure make the Y chromosome among the most diverse and least understood regions in mammalian genomes Here, we present an annotated assembly of the male specific region of the horse Y chromosome (eMSY), representing the first comprehensive Y assembly in odd-toed ungulates The eMSY comprises single-copy, equine specific multi-copy, PAR transposed, and novel ampliconic sequence classes The eMSY gene density approaches that of autosomes with the highest number of retained X-Y gametologs recorded in eutherians, in addition to novel Y-born and transposed genes Horse, donkey and mule testis RNAseq reveals several candidate genes for stallion fertility A novel testis-expressed XY ampliconic sequence class, ETSTY7, is shared with the parasite Parascaris genome, providing evidence for eukaryotic horizontal transfer and inter-chromosomal mobility Our study highlights the dynamic nature of the Y and provides a reference sequence for improved understanding of equine male development and fertility

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Mammalian Y chromosomes retain widely expressed dosage-sensitive regulators

TL;DR: This article reconstructed the evolution of the Y chromosome across eight mammals to identify biases in gene content and the selective pressures that preserved the surviving ancestral genes, and concluded that the gene content of Y chromosome became specialized through selection to maintain the ancestral dosage of homologous X-Y gene pairs that function as broadly expressed regulators of transcription, translation and protein stability.
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Photoelectrochemical water splitting: a road from stable metal oxides to protected thin film solar cells

TL;DR: In this paper, a detailed analysis of photoelectrochemical (PEC) devices from metal oxide electrodes forming a semiconductor-liquid junction to protected and catalyst-decorated third generation solar cells adapted into photo-electrodes is presented.
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Data denoising with transfer learning in single-cell transcriptomics.

TL;DR: It is shown that transfer learning across datasets remarkably improves data quality and SAVER-X trains a deep neural network for transfer learning that improves the quality of scRNA-seq data using prior information learnt from existing public studies.
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Intercalation and exfoliation chemistries of transition metal dichalcogenides

TL;DR: In this paper, the authors provide a comprehensive summary about the intercalation and exfoliation processes of layered materials as well as their properties and applications, and the applications of 2D TMDs fabricated from exfoliations are also introduced.
References
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Journal ArticleDOI

STAR: ultrafast universal RNA-seq aligner

TL;DR: The Spliced Transcripts Alignment to a Reference (STAR) software based on a previously undescribed RNA-seq alignment algorithm that uses sequential maximum mappable seed search in uncompressed suffix arrays followed by seed clustering and stitching procedure outperforms other aligners by a factor of >50 in mapping speed.
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RAxML version 8: a tool for phylogenetic analysis and post-analysis of large phylogenies.

TL;DR: This work presents some of the most notable new features and extensions of RAxML, such as a substantial extension of substitution models and supported data types, the introduction of SSE3, AVX and AVX2 vector intrinsics, techniques for reducing the memory requirements of the code and a plethora of operations for conducting post-analyses on sets of trees.
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PAML 4: Phylogenetic Analysis by Maximum Likelihood

TL;DR: PAML, currently in version 4, is a package of programs for phylogenetic analyses of DNA and protein sequences using maximum likelihood (ML), which can be used to estimate parameters in models of sequence evolution and to test interesting biological hypotheses.
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Velvet: Algorithms for de novo short read assembly using de Bruijn graphs

TL;DR: Velvet represents a new approach to assembly that can leverage very short reads in combination with read pairs to produce useful assemblies and is in close agreement with simulated results without read-pair information.
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MUSCLE: a multiple sequence alignment method with reduced time and space complexity

TL;DR: MUSCLE offers a range of options that provide improved speed and / or alignment accuracy compared with currently available programs, and a new option, MUSCLE-fast, designed for high-throughput applications.
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