2014
DOI: 10.1101/gr.175653.114
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Intron evolution in Neurospora: the role of mutational bias and selection

Abstract: We used comparative and population genomics to study intron evolutionary dynamics in the fungal model genus Neurospora. For our investigation, we used well-annotated genomes of N. crassa, N. discreta, and N. tetrasperma, and 92 resequenced genomes of N. tetrasperma from natural populations. By analyzing the four well-annotated genomes, we identified 9495 intron sites in 7619 orthologous genes. Our data supports nonhomologous end joining (NHEJ) and tandem duplication as mechanisms for intron gains in the genus … Show more

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Cited by 9 publications
(7 citation statements)
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References 84 publications
(124 reference statements)
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“…Thirteen positions show complex presence-absence patterns and a single position represents a single absence in a given species ( Fig 3E ). These results suggest a balanced number of putative intron gains and losses, consistent with previous intron gain and loss analyses in fungi [ 6 , 9 , 15 , 28 , 29 ].…”
Section: Resultssupporting
confidence: 90%
“…Thirteen positions show complex presence-absence patterns and a single position represents a single absence in a given species ( Fig 3E ). These results suggest a balanced number of putative intron gains and losses, consistent with previous intron gain and loss analyses in fungi [ 6 , 9 , 15 , 28 , 29 ].…”
Section: Resultssupporting
confidence: 90%
“…We measured very fast rates of intron gain and loss at IPAP loci in Z. tritici , which have been suggested in Neurospora tetrasperma and Daphnia ( Li etal. 2014 ; Sun etal. 2015 ).…”
Section: Discussionmentioning
confidence: 99%
“…Paired-end library preparation and whole-genome sequencing was carried out at BGI HongKong using Illumina HiSeq 2000, which generated an average of 1.5 Gbp of paired 90-bp reads per strain (an average of 1.4 Gbp of sequenced reads after quality filtering) and an average coverage per strain of between 25 and 45× (Supplemental Table 1). The quality filtering of the FASTQ files was performed by BGI HongKong as described in Sun et al (2015). We performed both reference and de novo genome assemblies of the reads.…”
Section: Methodsmentioning
confidence: 99%