A nice review of my 2015 Coffee Beetle paper in GenomeWeb today.
My genome had 163 million bases and 19,222 predicted protein-coding genes. I am very pleased to learn that a revised version of the draft genome sequence (from a group in Columbia) contains 160 million bases and 22,000 gene models. They also confirm the 12 horizontally transferred genes that I identified.
Coffee Pest, Plant Genomes Presented at PAG Conference
Researchers from the USDA's Agricultural Research Service, New York 
University, King Abdullah University of Science and Technology, and 
elsewhere published information on a 163 million base draft genome for the coffee berry borer in the journal Scientific Reports in 2015.
That
 genome assembly, produced with Illumina HiSeq 2000 reads, housed 
hundreds of small RNAs and an estimated 19,222 protein-coding genes, 
including enzymes, receptors, and transporters expected to contribute to
 coffee plant predation, pesticide response, and defense against 
potential pathogens. It also provided evidence of horizontal gene 
transfer involving not only mannanase, but several other bacterial genes
 as well.
At the annual Plant and Animal Genomes meeting here this week, National 
Center for Coffee Research (Cenicafe) scientist Lucio Navarro provided 
an update on efforts to sequence and interpret the coffee berry borer 
genome during a session on coffee genomics. For their own recent analyses, Navarro and his 
colleagues upgraded an earlier version of a coffee berry borer genome 
that had been generated by Roche 454 FLX sequencing, using Illumina 
short reads from male and female coffee berry borers to produce a 
consensus assembly spanning around 160 million bases. The assembly is 
believed to represent roughly 96 percent of the insect's genome.
In
 addition to producing a genome with improved contiguity levels, he 
reported, members of that team also combined 454 and Illumina reads to 
get consensus transcriptomes for the beetle. With these and other data, 
they identified almost 22,000 gene models, novel transposable element 
families, and their own evidence of horizontal gene transfer.
Bioinformatics perspectives on transcriptomics: A comprehensive review of 
bulk and single-cell RNA sequencing analyses
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RNA sequencing technologies reveal how gene expression varies across 
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