skip to primary navigationskip to content

Dr Anna Gogleva

Dr Anna Gogleva

Research Associate

Sainsbury Laboratory, University of Cambridge
47 Bateman Street

Cambridge CB2 1LR
Office Phone: +44(0)1223 761100


2010 - 2014: Vavilov Institute of General Genetics, Moscow, Russia
Graduate school, genetics, bioinformatics.
PhD thesis: 'Comparative genomics of CRISPR-cas systems'.

2011 - 2013
: The School of Data Analysis, SHAD Yandex, Moscow.
Field: bioinformatics.

2008 - 2010
: G.K Skryabin Institute of Biochemistry and Physiology of Microorganisms, Pushchino and Pushchino State University
Master degree in microbiology and virology.
Master thesis: 'Novel aerobic methylotrophic bacteria associated with plants'

2004 - 2008
: Ural Federal University, Ekaterinburg, Russia
Bachelor degree in biology.Field: plant biochemistry and physiology.


Software tools:

SecretSanta: flexible pipelines for scalable secretome prediction, R package


Research Interests

My research is focused on studying dual transcriptomics of plant hosts and plant pathogens. Such two-species systems enable simultaneous tracking of transcriptional dynamics in two interacting organisms. I am examining phylogenetically distant plant species during infection with a broad host range oomycete pathogen called Phytophthora palmivora. The first set of questions I am working on is devoted to studying evolutionary history of plant responses to a generic filamentous pathogen.

The second part of my research is focused on establishing and refining of genomic and transcriptomic resources available for P. palmivora. Despite being an economically relevant pathogen, P. palmivora’s genome has been sequenced only last year revealing expanded repertoires of many virulence factors. Still, many blind spots remain, including accurate functional annotation of secreted proteins. From our dual transcriptomics study of P. palmivora infection of N. benthamiana roots we know that the pathogen heavily relies on arsenals of secreted proteins to establish successful colonisation. We have strong expression evidence for several known classes of secreted proteins, such as RxLR effectors and crinklers (CRN), promoting infection. However, the vast majority of genes encoding secreted proteins and expressed during infection lack functional characterization. I have recently developed a computational tool allowing the creation of flexible and scalable pipelines for prediction of secreted proteins, applicable for the whole tree of life. Our ability to predict secretomes on a metagenomic scale now allows us to develop new tools based on machine learning approaches to discover novel classes of secreted proteins and also to explore possibilities for prediction of a pathogen’s host range based on its secretome composition.

Key Publications

1. Evangelisti E., Gogleva A., Hainaux H., Doumane M., Tulin F., Quan C., Yunusov T., Floch K., Schornack S. Time-resolved dual transcriptomics reveal early induced Nicotiana benthamiana root genes and conserved infection-promoting Phytophthora palmivora effectors. BMC Biol. 2017.


2. Gogleva AA, Gelfand MS, Artamonova II. Comparative analysis of CRISPR cassettes from the human gut metagenomic contigs. BMC Genomics. 2014 Mar 17;15:202.


3. Doronina NV, Gogleva AA, Trotsenko YA. Methylophilus glucosoxydans sp. nov., a restricted facultative methylotroph from rice rhizosphere. Int J Syst Evol Microbiol. 2012 Jan;62(Pt 1):196-201.


4. Gogleva AA, Kaparullina EN, Doronina NV, Trotsenko YA. Methylobacillus arboreus sp. nov., and Methylobacillus gramineus sp. nov., novel non-pigmented obligately methylotrophic bacteria associated with plants. Syst Appl Microbiol. 2011 Nov;34(7):477-81.


5. Gogleva AA, Kaparullina EN, Doronina NV, Trotsenko YA. Methylophilus flavus sp. nov. and Methylophilus luteus sp. nov., aerobic, methylotrophic bacteria associated with plants. Int J Syst Evol Microbiol. 2010 Nov;60(Pt 11):2623-8.



Carella P., Gogleva A., Marta Tomaselli, Carolin Alfs, Sebastian Schornack. Phytophthora palmivora establishes tissue-specific intracellular infection structures in the earliest divergent land plant lineage. bioRxiv 188912; doi: