Category Archives: transcriptomics

Found in translation: The evolutionary history of RNA viruses in vertebrates

I have to admit, viruses aren’t normally my thing, but this is pretty darn cool. In a study out by Shi and colleagues this week, researchers identified 214 new viruses that, as the authors so succinctly state, reveal “diverse virus-host … Continue reading

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Posted in bioinformatics, Coevolution, evolution, transcriptomics | Tagged , , | Leave a comment

Diving deep: Exploring microbial communities under the seafloor

As we all sat staring at three large monitors in the front of the room, the remotely operated vehicle (ROV) Jason hung on to a borehole observatory with one hydraulic arm as the other arm plugged our sampling equipment into … Continue reading

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Posted in bioinformatics, community ecology, fieldwork, genomics, metagenomics, microbiology, transcriptomics | Tagged , , , | Leave a comment

Experimental harvesting reduces gene expression variation

Human activities represent unique selective pressures for natural populations. This is especially true for fish species where we routinely harvest individuals from the wild, i.e., through fishing. It has been recognized for some time that overfishing can result in population … Continue reading

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Posted in adaptation, conservation, evolution, genomics, transcriptomics | Tagged , | 1 Comment

The largest mammalian genome is not polyploid

Some 40 million years ago in South America, following the arrival of the common ancestor of caviomorph rodents from the Old World, big changes were afoot. Specifically, the caviomorph colonists were beginning to give rise to an extant evolutionary progeny … Continue reading

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On hyRAD-X, another option for museum genomics

Last year, I profiled Suchan et al.’s “hyRAD” method for reduced-representation genome sequencing of degraded sources of DNA using RAD probes. While it’s too early to say whether hyRAD will be widely used by molecular ecologists looking to integrate historic … Continue reading

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Posted in genomics, methods, natural history, next generation sequencing, phylogenetics, phylogeography, population genetics, RNAseq, selection, transcriptomics | Tagged , , , | Leave a comment

Relatively rare tropical trees all agree: avoiding the ‘rain of death’ seems like a good call

When you think of a tropical jungle, what’s the first thing that comes to mind? Probably a lush green landscape with trees, vines, flowers, and let’s be real, at least one toucan. Tropical forests are made up of diverse groups … Continue reading

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Posted in genomics, Molecular Ecology, the journal, next generation sequencing, plants, transcriptomics | Tagged , | Leave a comment

Right reads, wrong index? Concerns with data from Illumina’s HiSeq 4000

Commanding around a 70% share of a 1.3 billion USD market, Illumina is the major player in next-generation sequencing (NGS) technology. More likely than not, if you’re a molecular ecologist working with NGS data, you’ve run your samples on a … Continue reading

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Posted in genomics, next generation sequencing, RNAseq, technical, transcriptomics | Tagged , , , , | 5 Comments

When the going gets hot the dinoflagellates (sometimes) get going, how viruses might affect coral symbionts

Corals represent more than meets the eye, they host intricate and interesting communities composed of dinoflagellates (also referred to as zooxanthellae), and a suite of microbes that include bacteria, archaea, fungi, protists, and viruses. One such dinoflagellate that often shares … Continue reading

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Posted in community ecology, microbiology, next generation sequencing, RNAseq, transcriptomics | Tagged , , | Leave a comment

Molecular Inversion Probes: phylogenomics without the excess?

The onset of the phylogenomic era has revolutionized molecular ecology and systematics, helping resolve relationships throughout the tree of life that have long eluded researchers working with only a handful of loci and morphological data. Phylogenetic studies of nonmodel organisms … Continue reading

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Posted in genomics, next generation sequencing, phylogenetics, phylogeography, population genetics, transcriptomics | Tagged , | Leave a comment

The 2016 Next-Generation Sequencing Field Guide Preview: Zombie Systems and New Hope

After a year of minimal activity, we finally have some significant changes in Next Gen Land. In the 2016 update of the NGS Field Guide, I will continue to give my overall interpretation about the various instruments, but with less … Continue reading

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Posted in genomics, howto, methods, RNAseq, transcriptomics | Tagged , , , | 8 Comments