Cordyceps on the brain

Cordyceps militaris (Ryan Kepler)I gave a lecture on animal-fungal symbionts and parasites this week so was doing more reading of recent literature on insect-fungi associations. A couple of quick notes worth sharing.

Ophiocordyceps unilateralis was the parasite of the day last week and includes a description of an interesting recent paper looking at the consistency of the symptoms of zombie ants. The article also mentions Carl Zimmer’s post on the same paper in more detail.

You of course have seen the very cool electronic/online Cordyceps monograph at cordyceps.us from Joey Spatafora’s lab?

The genome of Cordyceps militaris was sequenced by researchers at the Chinese Academy of Sciences. They find a reduced copy numbers of many gene families suggesting to the authors that the specialized ecology of the fungus may have limited the need for expanded gene families. The do find expanded copy numbers of metalloproteases – a finding we have also seen in human and amphibian associated pathogens as well as by the authors who looked at the insect associated fungus Metarhizium. There is also a reduction in cutinases and genes related to degrading plant cell walls similar to findings in the human associated pathogens Coccidioides suggesting similar genomic routes to specializing on an animal host from a generalist. They also found that this fungus is heterothallic based on genomic identification of the MAT1-1 locus. There are several more interesting findings in the paper including expression profiling of fruiting body via RNA-Seq.
Zheng, P., Xia, Y., Xiao, G., Xiong, C., Hu, X., Zhang, S., Zheng, H., Huang, Y., Zhou, Y., Wang, S., Zhao, G., Liu, X., St Leger, R., & Wang, C. (2011). Genome sequence of the insect pathogenic fungus Cordyceps militaris, a valued traditional Chinese medicine Genome Biology, 12 (11) DOI: 10.1186/gb-2011-12-11-r116

Schizophyllum genome update

Robin Ohm at the JGI has announced the release of version 2 of the Schizophyllum commune genome. This is great news on the heels of the announcement that one of the funded 2012 CSPs will include detailed functional genomics experiments in this mushroom.

I am pleased to announce the public release of the JGI annotation and portal for the improved assembly of Schizophyllum commune.  Annotations of the assembly are now publicly visible at http://jgi.doe.gov/Scommune2 .  Annotation and editing privileges remain password-protected but all other tools are now available to the general public.

A detailed set of statistics on the assembly and annotation can be found on the Info page of that portal:  http://genome.jgi-psf.org/Schco2/Schco2.info.html

 

Microsporidia genomes on the way

New genomes from Microsporidia are on the way from the Broad Institute and other groups, and will be a boon to those working on these fascinating creatures. Microsporidia are obligate intracellular parasites of eukaryotic cells and many can cause serious disease in humans. Some parasitize worms and insects too. The evolutionary placement of these species in the fungi is still debated with recent evidence placing them as derived members of the Mucormycotina based on shared synteny (conserved gene order), in particular around the mating type locus.  There is still some debate as to where this group belongs in the Fungal kingdom, with their highly derived characteristics and long branches they are still make them hard to place.  The synteny-based evidence was another way to find a phylogenetic placement for them but it would be helpful to have additional support in the form of additional shared derived characteristics that group Mucormycotina and Microsporidia. There is hope that increased number of genome sequences and phylogenomic approaches can help resolve the placement and more further understand the evolution of the group.

For data analysis, a new genome database for comparing these genomes is online called MicrosporidiaDB. This project has begun incorporating the available genomes and providing a data mining interface that extends from the EuPathDB project.

Presents for the holidays – Plant pathogen genomes

Though a bit cliche, I think the metaphor of “presents under the tree” of some new plant pathogen genomes summarized in 4 recent publications is still too good to resist.  There are 4 papers in this week’s Science that will certainly make a collection of plant pathogen biologists very happy. There are also treats for the general purpose genome biologists with descriptions of next generation/2nd generation sequencing technologies, assembly methods, and comparative genomics. Much more inside these papers than I am summarizing so I urge you to take look if you have access to these pay-for-view articles or contact the authors for reprints to get a copy.

Hyaloperonospora

These include the genome of biotrophic oomycete and Arabidopsis pathogen Hyaloperonospora arabidopsidis (Baxter et al). While preserving the health of Arabidopsis is not a major concern of most researchers, this is an excellent model system for studying plant-microbe interaction.  The genome sequence of Hpa provides a look at specialization as a biotroph. The authors found a reduction (relative to other oomycete species) in factors related to host-targeted degrading enzymes and also reduction in necrosis factors suggesting the specialization in biotrophic lifestyle from a necrotrophic ancestor. Hpa also does not make zoospores with flagella like its relatives and sequence searches for 90 flagella-related genes turned up no identifiable homologs.

While the technical aspects of sequencing are less glamourous now the authors used Sanger and Illumina sequencing to complete this genome at 45X sequencing coverage and an estimated genome size fo 80 Mb. To produce the assembly they used Velvet on the paired end Illumina data to produce a 56Mb assembly and PCAP (8X coverage to produce a 70Mb genome) on the Sanger reads to produce two assemblies that were merged with an ad hoc procedure that relied on BLAT to scaffold and link contigs through the two assembled datasets. They used CEGMA and several in-house pipelines to annotate the genes in this assembly. SYNTENY analysis was completed with PHRINGE. A relatively large percentage (17%) of the genome fell into ‘Unknown repetitive sequence’ that is unclassified – larger than P.sojae (12%) but there remain a lot of mystery elements of unknown function in these genomes.  If you jump ahead to the Blumeria genome article you’ll see this is still peanuts compared to that Blumeria’s genome (64%). The largest known transposable element family in Hpa was the LTR/Gypsy element. Of interest to some following oomycete literature is the relative abundance of the RLXR containing proteins which are typically effectors – there were still quite a few (~150 instead of ~500 see in some Phytophora genomes).

Blumeria

 

A second paper on the genome of the barley powdery mildew Blumeria graminis f.sp. hordei and two close relatives Erysiphe pisi, a pea pathogen, and Golovinomyces orontii, an Arabidopsis thaliana pathogen (Spanu et al).  These are Ascomycetes in the Leotiomycete class where there are only a handful of genomes Overall this paper tells a story told about how obligate biotrophy has shaped the genome. I found most striking was depicted in Figure 1. It shows that typical genome size for (so far sampled) Pezizomycotina Ascomycetes in the ~40-50Mb range whereas these powdery mildew genomes here significantly large genomes in ~120-160 Mb range. These large genomes were primarily comprised of Transposable Elements (TE) with ~65% of the genome containing TE. However the protein coding gene content is still only on the order of ~6000 genes, which is actually quite low for a filamentous Ascomycete, suggesting that despite genome expansion the functional potential shows signs of reduction.  The obligate lifestyle of the powdery mildews suggested that the species had lost some autotrophic genes and the authors further cataloged a set of ~100 genes which are missing in the mildews but are found in the core ascomycete genomes. They also document other genome cataloging results like only a few secondary metabolite genes although these are typically in much higher copy numbers in other filamentous ascomycetes (e.g. Aspergillus).  I still don’t have a clear picture of how this gene content differs from their closest sequenced neighbors, the other Leotiomycetes Botrytis cinerea and Sclerotinia sclerotium, are on the order of 12-14k genes. Since the E. pisi and G. orontii data is not yet available in GenBank or the MPI site it is hard to figure this out just yet – I presume it will be available soon.

More techie details — The authors used Sanger and second generation technologies and utilized the Celera assembler to build the assemblies from 120X coverage sequence from a hybrid of sequencing technologies.  Interestingly, for the E. pisi and G. orontii assemblies the MPI site lists the genome sizes closer to 65Mb in the first drafts of the assembly with 454 data so I guess you can see what happens when the Newbler assembler which overcollapses repeats. They also used a customized automated annotation with some ab intio gene finders (not sure if there was custom training or not for the various gene finders) and estimated the coverage with the CEGMA genes. I do think a Fungal-Specific set of core-conserved genes would be in order here as a better comparison set – some nice data like this already exist in a few databases but would be interesting to see if CEGMA represents a broad enough core-set to estimate genome coverage vs a Fungal-derived CEGMA-like set.

 

A third paper in this issue covers the genome evolution in the massively successful pathogen Phytophora infestans through resequencing of six genomes of related species to track recent evolutionary history of the pathogen (Raffaele et al). The authors used high throughput Illumina sequencing to sequence genomes of closely related species. They found a variety differences among genes in the pathogen among the findings “genes in repeat-rich regions show[ed] higher rates of structural polymorphisms and positive selection”. They found 14% of the genes experienced positive selection and these included many (300 out of ~800) of the annotated effector genes. P. infestans also showed high rates of change in the repeat rich regions which is also where a lot of the disease implicated genes are locating supporting the hypothesis that the repeat driven expansion of the genome (as described in the 2009 genome paper). The paper generates a lot of very nice data for followup by helping to prioritize the genes with fast rates of evolution or profiles that suggest they have been shaped by recent adaptive evolutionary forces and are candidates for the mechanisms of pathogenecity in this devastating plant pathogen.

 

A fourth paper describes the genome sequencing of Sporisorium reilianum, a biotrophic pathogen that is closely related species to corn smut Ustilago maydis (Schirawski et al). Both these species both infect maize hosts but while U. maydis induces tumors in the ears, leaves, tassels of corn the S. reilianum infection is limited to tassels and . The authors used comparative biology and genome sequencing to try and tease out what genetic components may be responsible for the phenotypic differences. The comparison revealed a relative syntentic genome but also found 43 regions in U. maydis that represent highly divergent sequence between the species. These regions contained disproportionate number of secreted proteins indicating that these secreted proteins have been evolving at a much faster rate and that they may be important for the distinct differences in the biology. The chromosome ends of U. maydis were also found to contain up to 20 additional genes in the sub-telomeric regions that were unique to U. maydis. Another fantastic finding that this sequencing and comparison revealed is more about the history of the lack of RNAi genes in U. maydis. It was a striking feature from the 2006 genome sequence that the genome lacked a functioning copy of Dicer. However knocking out this gene in S. reilianum failed to show a developmental or virulence phenotype suggesting it is dispensible for those functions so I think there will be some followups to explore (like do either of these species make small RNAs, do they produce any that are translocated to the host, etc).  The rest of the analyses covered in the manuscript identify the specific loci that are different between the two species — interestingly a lot of the identified loci were the same ones found as islands of secreted proteins in the first genome analysis paper so the comparative approach was another way to get to the genes which may be important for the virulence if the two organisms have different phenotypes. This is certainly the approach that has also been take in other plant pathogens (e.g. Mycosphaerella, Fusarium) and animal pathogens (Candida, Cryptococcus, Coccidioides) but requires a sampling species or appropriate distance that that the number of changes haven’t saturated our ability to reconstruct the history either at the gene order/content or codon level.

Without the comparison of an outgroup species it is impossible to determine if U. maydis gained function that relates to the phenotypes observed here through these speculated evolutionary changes involving new genes and newly evolved functions or if S. reilianum lost functionality that was present in their common ancestor. However, this paper is an example of how using a comparative approach can identify testable hypotheses for origins of pathogenecity genes.

 

Hope everyone has a chance to enjoy holidays and unwrap and spend some time looking at these and other science gems over the coming weeks.

 

Baxter, L., Tripathy, S., Ishaque, N., Boot, N., Cabral, A., Kemen, E., Thines, M., Ah-Fong, A., Anderson, R., Badejoko, W., Bittner-Eddy, P., Boore, J., Chibucos, M., Coates, M., Dehal, P., Delehaunty, K., Dong, S., Downton, P., Dumas, B., Fabro, G., Fronick, C., Fuerstenberg, S., Fulton, L., Gaulin, E., Govers, F., Hughes, L., Humphray, S., Jiang, R., Judelson, H., Kamoun, S., Kyung, K., Meijer, H., Minx, P., Morris, P., Nelson, J., Phuntumart, V., Qutob, D., Rehmany, A., Rougon-Cardoso, A., Ryden, P., Torto-Alalibo, T., Studholme, D., Wang, Y., Win, J., Wood, J., Clifton, S., Rogers, J., Van den Ackerveken, G., Jones, J., McDowell, J., Beynon, J., & Tyler, B. (2010). Signatures of Adaptation to Obligate Biotrophy in the Hyaloperonospora arabidopsidis Genome Science, 330 (6010), 1549-1551 DOI: 10.1126/science.1195203

Spanu, P., Abbott, J., Amselem, J., Burgis, T., Soanes, D., Stuber, K., Loren van Themaat, E., Brown, J., Butcher, S., Gurr, S., Lebrun, M., Ridout, C., Schulze-Lefert, P., Talbot, N., Ahmadinejad, N., Ametz, C., Barton, G., Benjdia, M., Bidzinski, P., Bindschedler, L., Both, M., Brewer, M., Cadle-Davidson, L., Cadle-Davidson, M., Collemare, J., Cramer, R., Frenkel, O., Godfrey, D., Harriman, J., Hoede, C., King, B., Klages, S., Kleemann, J., Knoll, D., Koti, P., Kreplak, J., Lopez-Ruiz, F., Lu, X., Maekawa, T., Mahanil, S., Micali, C., Milgroom, M., Montana, G., Noir, S., O’Connell, R., Oberhaensli, S., Parlange, F., Pedersen, C., Quesneville, H., Reinhardt, R., Rott, M., Sacristan, S., Schmidt, S., Schon, M., Skamnioti, P., Sommer, H., Stephens, A., Takahara, H., Thordal-Christensen, H., Vigouroux, M., Wessling, R., Wicker, T., & Panstruga, R. (2010). Genome Expansion and Gene Loss in Powdery Mildew Fungi Reveal Tradeoffs in Extreme Parasitism Science, 330 (6010), 1543-1546 DOI: 10.1126/science.1194573

Raffaele, S., Farrer, R., Cano, L., Studholme, D., MacLean, D., Thines, M., Jiang, R., Zody, M., Kunjeti, S., Donofrio, N., Meyers, B., Nusbaum, C., & Kamoun, S. (2010). Genome Evolution Following Host Jumps in the Irish Potato Famine Pathogen Lineage Science, 330 (6010), 1540-1543 DOI: 10.1126/science.1193070

Schirawski, J., Mannhaupt, G., Munch, K., Brefort, T., Schipper, K., Doehlemann, G., Di Stasio, M., Rossel, N., Mendoza-Mendoza, A., Pester, D., Muller, O., Winterberg, B., Meyer, E., Ghareeb, H., Wollenberg, T., Munsterkotter, M., Wong, P., Walter, M., Stukenbrock, E., Guldener, U., & Kahmann, R. (2010). Pathogenicity Determinants in Smut Fungi Revealed by Genome Comparison Science, 330 (6010), 1546-1548 DOI: 10.1126/science.1195330

Genome sequence of mushroom Schizophyllum commune

Schizophyllum CommuneI am excited to announce the publication of another mushroom genome this week. The mushroom Schizophyllum commune is an important model system for mushroom biology, development of genome was sequenced as part of efforts at the Joint Genome Institute and a collection of international researchers.  The data and analyses from these efforts are presented in a publication appearing in Nature Biotechnology today.

Studies in mushrooms can have important impact on other research areas.  They can be useful in biotechnology as protein biosynthesis factories for producing compounds or even as an edible delivery mechanism for new drugs.  What we found in the analysis of this genome include clues to mechanisms of how white rotting fungi degrade lignin through analysis of enzyme families.  We also saw evidence for extensive antisense transcription during different developmental stages suggesting some important clues as to how some gene regulation could impact or control developmental progression.  Through gene expression comparison (by MPSS) a large number of transcription factors were shown to be differentially regulated during sexual development.  A knockout out two of these (fst3 and fst4) resulting in changes in ability to form mushrooms (fst4) or smaller mushrooms (fst3).

Several more interesting findings in this work that I hope to add back to this post when there is a little more time -

Ohm, R., de Jong, J., Lugones, L., Aerts, A., Kothe, E., Stajich, J., de Vries, R., Record, E., Levasseur, A., Baker, S., Bartholomew, K., Coutinho, P., Erdmann, S., Fowler, T., Gathman, A., Lombard, V., Henrissat, B., Knabe, N., Kües, U., Lilly, W., Lindquist, E., Lucas, S., Magnuson, J., Piumi, F., Raudaskoski, M., Salamov, A., Schmutz, J., Schwarze, F., vanKuyk, P., Horton, J., Grigoriev, I., & Wösten, H. (2010). Genome sequence of the model mushroom Schizophyllum commune Nature Biotechnology DOI: 10.1038/nbt.1643

A mushroom on the cover

I’ll indulge a bit here to happily to point to the cover of this week’s PNAS with an image of Coprinopsis cinerea mushrooms fruiting referring to our article on the genome sequence of this important model fungus.  You should also enjoy the commentary article from John Taylor and Chris Ellison that provides a summary of some of the high points in the paper.

Coprinopsis cover

Stajich, J., Wilke, S., Ahren, D., Au, C., Birren, B., Borodovsky, M., Burns, C., Canback, B., Casselton, L., Cheng, C., Deng, J., Dietrich, F., Fargo, D., Farman, M., Gathman, A., Goldberg, J., Guigo, R., Hoegger, P., Hooker, J., Huggins, A., James, T., Kamada, T., Kilaru, S., Kodira, C., Kues, U., Kupfer, D., Kwan, H., Lomsadze, A., Li, W., Lilly, W., Ma, L., Mackey, A., Manning, G., Martin, F., Muraguchi, H., Natvig, D., Palmerini, H., Ramesh, M., Rehmeyer, C., Roe, B., Shenoy, N., Stanke, M., Ter-Hovhannisyan, V., Tunlid, A., Velagapudi, R., Vision, T., Zeng, Q., Zolan, M., & Pukkila, P. (2010). Insights into evolution of multicellular fungi from the assembled chromosomes of the mushroom Coprinopsis cinerea (Coprinus cinereus) Proceedings of the National Academy of Sciences, 107 (26), 11889-11894 DOI: 10.1073/pnas.1003391107

An Inky-cap mushroom genome

Francis Martin has written up a delightful summary pointing to our publication of the genome of Coprinopsis cinereus which appears in the early edition of PNAS and will grace the cover at the end of the month.  I encourage you to take a look at Francis’s post and the paper, available as Open Access from PNAS.  I’ll do my best to post a summary of the paper when I get a free moment.

For now I’ll leave you with a picture of this cute little mushroom fruting in the lab and a link to many more at Flickr.

Mature Coprinus cinereus (Coprinopsis cinerea)

I’ll have the truffles and huitlacoche

Black TruffleA couple of papers should have captured your attention lately in the realm of fungal genomics.

One is the publication of the genome of the black truffle Tuber melanosporum. This appears as an advanced publication at Nature (OA by virtue of Nature’s agreement on genome papers) along with a NYT writeup and is a tasty exploration of the genome of an ascomycete ectomycorrhizal (ECM) fungus. There are several gems in there including the differences in transposable element content, content of gene families related to carbohydrate metabolism. This genome helps open the doorway for exploring the several independent origins of ECM in both ascomycete and basidiomycete fungi.

I’ll also point out there is some work on the analysis of mating type locus found in this genome has applied aspects suggesting that inoculation of roots with both mating types may increase truffle yields in truffle farms. Evidence for sexual reproduction is also discovered from this genome analysis based on the sexual cycle genes present and the structure of the MAT locus.  Much like what was revealed in the genome analysis of the previously ‘asexual’ species Aspergillus fumigatus (and later reconstitution of a sexual cycle), the Tuber genome has the potential for mating and is a heterothallic (outcrossing) fungus based on its mating type locus -just like many other filamentous Ascomycete species.

A second paper I encourage you take a look at (those with a Science subscription) is from Virginia Walbot’s lab on the formation of tumors by U. maydis in Maize. These tumors end up destroying the corn but can produce a delicious (to some) dish that is huitlacooche. The idea that the fungus is co-opting the host system by secreting proteins that acted in the same way as native proteins and that it has a tissue or organ specific repertoire was one that her lab has been pursuing. U. maydis can grow inside corn without detection and  the formation of tumors seems to be a manipulation of the plant as much as it is the pathogen directly taking resources from the plant.  It reminds me a bit of the production of secondary metabolites that can control plant growth like gibberellins produced by fungi.  This kind of manipulation and also ability to evade detection suggests a pretty specific set of controls that prevent the fungus from doing the wrong thing at the wrong time (to avoid detection). So they set out to see if there are a set of organ specific genes that the fungus uses during infection that would suggest a very host-specific strategy by this corn smut.

In this paper the authors evaluate the role of fungal genes specifically expressed in infection of different organs and also the role of secreted proteins in colonization of the organs.  In what is impressive and elegant work, the authors show through the use of microarrays and genetics that there is plant tissue specific gene expression of U. maydis – so infections in leaves express a different set of genes than those in seedlings.  Genetic and phenotypic evaluation of fungal strains with knockouts of sets of the predicted secreted proteins was able to confirm a role for specific secreted proteins that previously may have not had any discernible phenotype. They infect strains with knockouts of sets of genes that encode secreted proteins and compare the virulence when these strains infect individual organs of the maize host.  They showed there is significantly different virulence in the various tissues for a some of the mutants suggesting an organ-specific role for virulence of secreted proteins. They also go on to show that some of this organ specific infection requires organ-specific gene expression by evaluating maize mutants and the ability of the fungus to infect different organs.

Future work will hopefully followup to see what these secreted proteins are manipulating in the host and how they either enable virulence by protecting the pathogen, avoiding detection by turning of host responses, or co-opting host gene networks in some other way.

Martin F, Kohler A, Murat C, Balestrini R, Coutinho PM, Jaillon O, Montanini B, Morin E, Noel B, Percudani R, Porcel B, Rubini A, Amicucci A, Amselem J, Anthouard V, Arcioni S, Artiguenave F, Aury JM, Ballario P, Bolchi A, Brenna A, Brun A, Buée M, Cantarel B, Chevalier G, Couloux A, Da Silva C, Denoeud F, Duplessis S, Ghignone S, Hilselberger B, Iotti M, Marçais B, Mello A, Miranda M, Pacioni G, Quesneville H, Riccioni C, Ruotolo R, Splivallo R, Stocchi V, Tisserant E, Viscomi AR, Zambonelli A, Zampieri E, Henrissat B, Lebrun MH, Paolocci F, Bonfante P, Ottonello S, & Wincker P (2010). Périgord black truffle genome uncovers evolutionary origins and mechanisms of symbiosis. Nature PMID: 20348908

Skibbe DS, Doehlemann G, Fernandes J, & Walbot V (2010). Maize tumors caused by Ustilago maydis require organ-specific genes in host and pathogen. Science (New York, N.Y.), 328 (5974), 89-92 PMID: 20360107

JGI Meetings


I’m at the JGI user meeting, which is starting with a Basidiomycete genomics workshop/jamboree, later a meeting of JGI fungal genome advisory board, and the main show: the User Meeting. Looking forward to catching  up with scientists from a wide variety of projects and  some twitter/blogger types and twittering about it @#JGIUM.

Sequencing wine spoilage yeast

There is an article in Wine Spectator (Seen on the JGI feed) on sequencing the wine spoilage yeast bruxellensis (correct name is now Dekkera bruxellensis) which adds the not-so-excellent taste of “sweaty horse” to wines.  There is already some survey sequencing done by Ken Wolfe and Jurge Piskur’s groups so a full genome sequencing project will help work out how this yeast is able to out compete Saccharomyces and cause dramatic wine spoilage.  This is also relevant on the bio-fuel side since this yeast can also taint an ethanol bio-reactor.  It is an interesting ecology inside the wine bottle and this competition for resources can lead to bad tasting wine. The competition presumably originated in some form in the rotting fruit where these yeasts compete for space and use different approaches in their niche including the fermentation process which produces the revered ethanol by-product and helps establish a chemical-warfare driven landgrab.  The ethanol also helps prevent and of course this has implications for the Drosophila (Sophophora) flies that land there and eat yeast. They needed a good way to overcome the ethanol like the well studied Adh gene.