Mercè Montoliu Nerín

@mmontonerin

Trying to understand Arbuscular Mycorrhizal Fungi better through their genomes. PhD student at the Evolutionary Biology Center of Uppsala University.

Vrijeme pridruživanja: studeni 2015.

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  1. Prikvačeni tweet
    28. sij

    It is out! Check out our paper, "Building de novo reference genome assemblies of complex eukaryotic microorganisms from single nuclei" in !

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  2. proslijedio/la je Tweet
    prije 13 sati

    Ahnesjö et al. just published "Considering Gender-Biased Assumptions in Evolutionary Biology", including a set of guidelines! Give it a read! Link:

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  3. proslijedio/la je Tweet
    prije 13 sati

    Excited to see our fungal paper on bioRxiv! With , and the Hammond lab, we show that spore killing (sk-1) in sitophila is caused by a gene that is introgressed from another species.

    Meiotic drive gene in N. sitophila
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  4. proslijedio/la je Tweet
    2. velj

    Fungal under microscope. Given the right conditions can prolong themselves indefinitely. A fragment can regenerate a whole meaning that a fungal 'individual'—if you’re brave enough to use that word—is potentially . . . 📹©

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  5. 1. velj

    Won the bingo of and got the perfect gift to celebrate with the our recent paper on Monday!!

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  6. proslijedio/la je Tweet
    31. sij

    Happy to see my design printed on the t shirt

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  7. proslijedio/la je Tweet
    30. sij

    Look at all those in the ! We've got Endophytes. That lung might have some . That log is probably loaded with saprophytic fungi. They're EVERYWHERE!

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  8. proslijedio/la je Tweet
    30. sij
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  9. proslijedio/la je Tweet
    28. sij

    Genome assemblies from single nuclei of unculturable fungi and other microbes. Combining WGA, Illumina data from individual nuclei and long-read data from a small pool of nuclei.

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  10. proslijedio/la je Tweet
    28. sij

    Finally out!! Check out our paper 'Gene gain and loss across the metazoan tree of life' by and yours truly just published in 1/n

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  11. 28. sij

    To finish, I just wanted to add my own version of the last meme trend in internet. For everyone who deals with whole genome assemblies and suffers with their never easy problems! 9/9

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  12. 28. sij

    For developing the different assembly pipelines that could deal with the coverage bias of the data, we counted with the support of the bioinformatics team from , Manfred Grabherr, , and . 8/9

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  13. 28. sij

    Conclussion? There is no such thing as the "perfect" assembly, but a set of final assemblies that represent each some types of genomic content in a better way, and can equally be used in different downstream analyses. 7/9

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  14. 28. sij

    But, as we all know... "one does not simply assemble a genome". A total of 396 whole genome assemblies from the same isolate were generated, and included in the final publication, in order to find the "perfect" de novo assembly. 6/9

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  15. 28. sij

    Single nuclei were sequenced using , at ; and groups of nuclei with , thanks to the hard work of . This gave us a good set of data to combine and produce a de novo assembly. 5/9

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  16. 28. sij

    Thanks to Claudia Bergin, from the single cell facility of , we managed to sort individual nuclei using a FACS, and whole genome amplified their DNA with MDA. 4/9

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  17. 28. sij

    This is the case of arbuscular mycorrhizal fungi, which are obligate symbionts to plant roots, and only produce micrometer-sized multinucleate spores as their biggest isolable structure. 3/9

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  18. 28. sij

    Sequencing techniques have been broadly developed, but still today, we are limited by the amount and quality of DNA. This affects the study of a big part of Earth's biodiversity, that cannot be grown in lab conditions, or form complex close interactions with other organisms. 2/9

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  19. 28. sij

    In a short series of tweets I will briefly explain what we did in our recently published paper "Building de novo reference genome assemblies of complex eukaryotic microorganisms from single nuclei" in . 1/9

    , , i još njih 7
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  20. 27. sij

    Primero de una serie de artículos sobre , en , por . Esta vez centrándose en cómo llegó a hacerse el análisis (aquí la culpable🙋🏻‍♀️), y en los resultados que ofrecen sobre ancestros genéticos.

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