Biology subjects

Nanni, A. V.

Publications and source records attributed to Nanni, A. V..

4 recordsLinked to original sources

bioRxiv2023

Sex-biased expression is associated with chromatin state in D. melanogaster and D. simulans

We propose a new model for the association of chromatin state and sex-bias in expression. We hypothesize enrichment of open chromatin in the sex where we see expression bias (OS) and closed chromatin in the opposite sex (CO). In this study of D. melanogaster and D. simulans head tissue, sex-bias in expression is associated with H3K4me3 (open mark) in males for male-biased genes and in females for female-biased genes in both species. Sex-bias in expression is also largely conserved in direction and magnitude between the two species on the X and autosomes. In male-biased orthologs, the sex-bias ratio is more divergent between species if both species have H3K27me2me3 marks in females compared to when either or neither species has H3K27me2me3 in females. H3K27me2me3 marks in females are associated with male-bias in expression on the autosomes in both species, but on the X only in D. melanogaster. In female-biased orthologs the relationship between the species for the sex-bias ratio is similar regardless of the H3K27me2me3 marks in males. Female-biased orthologs are more similar in the ratio of sex-bias than male-biased orthologs and there is an excess of male-bias in expression in orthologs that gain/lose sex-bias. There is an excess of male-bias in sex-limited expression in both species suggesting excess male-bias is due to rapid evolution between the species. The X chromosome has an enrichment in male-limited H3K4me3 in both species and an enrichment of sex-bias in expression compared to the autosomes.

evolutionary biology↗

bioRxiv2021

The evolution of splicing: transcriptome complexity and transcript distances implemented in TranD

Alternative splicing contributes to organismal complexity. Comparing transcripts between and within species is an important first step toward understanding questions about how evolution of transcript structure changes between species and contributes to sub-functionalization. These questions are confounded with issues of data quality and availability. The recent explosion of affordable long read sequencing of mRNA has considerably widened the ability to study transcriptional variation in non-model species. In this work, we develop a computational framework that uses nucleotide resolution distance metrics to compare transcript models for structural phenotypes: total transcript length, intron retention, donor/acceptor site variation, alternative exon cassettes, alternative 5/3 UTRs are each scored qualitatively and quantitatively in terms of number of nucleotides. For a single annotation file, all differences among transcripts within a gene are summarized and transcriptome-level complexity metrics: number of variable nucleotides, unique exons per gene, exons per transcript, and transcripts per gene are calculated. To compare two transcriptomes on the same co-ordinates, a weighted total distance between pairs of transcripts for the same gene is calculated. The weight function proposed has larger penalties for intron retention and exon skipping than alternative donor/acceptor sites. Minimum distances can be used to identify both transcript pairs and transcripts missing structural elements in either of the two annotations. This enables a broad range of functionality from comparing sister species to comparing different methods of building and summarizing transcriptomes. Importantly, the philosophy here is to output metrics, enabling others to explore the nucleotide-level distance metrics. Single transcriptome annotation summaries and pairwise comparisons are implemented in a new tool, TranD, distributed as a PyPi package and in the open-source web-based Galaxy (www.galaxyproject.org) platform.

genomics↗

bioRxiv2021

Ozone sensitivity of diverse maize genotypes is associated with differences in gene regulation, not gene content

The maize pangenome has demonstrate large amounts of presence/absence variation and it has been hypothesized that presence/absence variation contributes to stress response. To uncover whether the observed genetic variation in physiological response to elevated ozone (a secondary air pollutant that causes significant crop yield losses) concentration is due to variation in genic content, and/or variation in gene expression, we examine the impact of sustained elevated ozone concentration on the leaf tissue from 5 diverse maize inbred genotypes (B73, Mo17, Hp301, C123, NC338). Analysis of long reads from the transcriptomes of the 10 conditions found expressed genes in the leaf are part of the shared genome, with 94.5% of expressed genes from syntenic loci. Quantitative analysis of short reads from 120 plants (twelve from each condition) found limited transcriptional response to sustained ozone stress in the ozone resistant B73 genotype (151 genes), while more than 3,300 genes were significantly differentially expressed in the more sensitive NC338 genotype. The genes underpinning the divergence of B73 from the other 4 genotypes implicates ethylene signaling consistent with some findings in Arabidopsis. For the 82 of the 83 genes differentially expressed among all 5 genotypes and the 788 of 789 genes differentially expressed in 4 genotypes (excluding B73) in sensitivity to ozone is associated with oxidative stress tolerance being associated with a weaker response to a reactive oxygen species (ROS) signal and suggests that genetic variation in downstream processes is key to ozone tolerance.

genomics↗

bioRxiv2019

Altered Nucleoprotein Binding to Influenza Virus RNA Impacts Packaging Efficiency and Replication

The genome of Influenza A viruses consists of eight negative-sense RNA segments that are bound by viral nucleoprotein (NP). We recently showed that NP binding is not uniform along the segments but exhibits regions of enrichment as well as depletion. Furthermore, genome-wide NP binding profiles are distinct even in strains with high sequence similarity, such as the two H1N1 strains A/WSN/1933 and A/California/07/2009. Here, we performed interstrain segment swapping experiments with segments of either high or low congruency in NP binding, which suggested that a segment with a similar overall NP binding profile preserved replication fitness of the resulting virus. Further sub-segmental swapping experiments demonstrated that NP binding is affected by changes to the underlying nucleotide sequence, as NP peaks can either become lost or appear de novo at mutated regions. Unexpectedly, these local nucleotide changes in one segment not only affect NP binding in cis, but also impact the genome-wide NP binding profile on other segments in a vRNA sequence-independent manner, suggesting that primary sequence alone is not the sole determinant for NP association to vRNA. Moreover, we observed that sub-segmental mutations that affect NP binding profiles can result in reduced replication fitness, which is caused by defects in vRNA packaging efficiency and an increase in semi-infectious particle production. Taken together, our results indicate that the pattern of NP binding to vRNA is important for efficient virus replication.\n\nAuthor SummaryEach viral RNA (vRNA) segment is bound by the polymerase complex at the 5' and 3' ends, while the remainder of the vRNA is coated non-uniformly and non-randomly by nucleoprotein (NP). To explore the constraints of NP binding to vRNA, we used high-throughput sequencing of RNA isolated by crosslinking immunoprecipitation (HITS-CLIP) of mutant H1N1 strains with exchanged vRNA sequences and observed that NP binding can be changed based on vRNA sequence. The most striking observation of our study is that nucleotide changes in one segment can have genome-wide effects on the NP binding profile of other segments. We refer to this phenomenon as the butterfly effect of influenza packaging. Our results provide an important context in which to consider future studies regarding influenza packaging and assembly.

microbiology↗