Moi Lab

Our lab works at the interface of plant ecology, evolutionary genetics, and bioinformatics. We develop new computational methods and analyze genomic, experimental, and climate data to understand the dynamics of adaptation of populations and the mutations driving them. We then use this knowledge to forecast species evolutionary outcomes under global change and figure out how to aid adaptation in the future to avoid species extinctions.

An important current project of the lab, co-coordinated with François Vasseur (CNRS) and Niek Scheepens (U. Tübingen), is a distributed global evolution experiment, GrENE-net.org, which aims to test the evolvability of the plant Arabidopsis thaliana in many climates around the world.

To learn more about the lab visit www.moisesexpositoalonso.org

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Moises Exposito-Alonso

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Plant Biology

Carnegie Institution for Science

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Veronica Pagowski (Visiting Scholar)
Yunru Peng (Lab Technician)
I graduated from UC Berkeley in May 2019 with a BSc in microbial biology and an emphasis in computational genomics. I am interested in genetics and genomics. During my undergraduate, I used a novel CRISPR/Cas9 multiplex editing technique to modify soybean genome, aiming to enhance the plant's immunity. I also worked in projects related to microbial and zebrafish genetics. I think of genetics as a unifying lens to examine the rich biodiversity and evolutionary history on Earth. At Moi Lab, I will examine the genomes of evolving populations and develop CRISPR tools for polygenic editing. Outside of research, I like books, games, and the outdoors.

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Google Scholar Profile

ORCID Profile: 0000-0001-5711-0700

2019

12. Waldvogel AM, Feldmeyer B, Rolshausen G, Exposito-Alonso M, Rellstab C, Kofler R, Mock T, Schmid K, Schmitt I, Bataillon T, Savolainen O, Bergland A, Flatt T, Guillaume F, Pfenninger M. (2019) Evolutionary genomics improves prediction of species responses to climate change. (submitted)

11. Exposito-Alonso, M., 500 Genomes Field Experiment Team, Burbano, H. A., Bossdorf, O., Nielsen, R., Weigel, D. (2019) Natural selection on the Arabidopsis thaliana genome in present and future climates. Nature, https://doi.org/10.1038/s41586-019-1520-9

10. Exposito-Alonso, M., Rodríguez, R.G., Barragán, C., Capovilla, G., Chae, E., Devos, J., Dogan, E.S., Friedemann, C., Gross, C.^**, Lang, P., Lundberg, D., Middendorf, V.^**, Kageyama, J., Karasov, T., Kersten, S., Petersen, S., Rabbani, L., Regalado, J., Reinelt, L.^**, Rowan, B., Seymour, D.K., Symeonidi, E., Schwab, R., Tran, D.T.N., Venkataramani, K., Van de Weyer, A.-L., Vasseur, F., Wang, G., Wedegärtner, R.^**, Weiss, F., Wu, R., Xi, W., Zaidem, M., Zhu, W., García-Arenal, F., Burbano, H.A., Bossdorf, O., Weigel, D., (2019) A rainfall-manipulation experiment with 517 Arabidopsis thaliana accessions. bioRxiv (final version), https://doi.org/10.1101/186767.

2018

9. Exposito-Alonso, M. (2018). On climate change and genetic evolution in Arabidopsis thaliana. Universität Tübingen, Ph.D. Thesis. http://dx.doi.org/10.15496/publikation-26332.

8. Exposito-Alonso, M., Brennan, A., Alonso-Blanco, C., Picó, F.X., (2018). Spatio-temporal variation in fitness responses to contrasting environments in Arabidopsis thaliana. Evolution, 71:550. https://doi.org/10.1111/evo.13508.

7. Vasseur, F., Exposito-Alonso, M., Ayala-Garay, O., Wang, G., Enquist, B.J., Violle, C., Ville, D., Weigel, D., (2018). Adaptive diversification of growth allometry in the plant Arabidopsis thaliana. Proceedings of the National Academy of Sciences, https://doi.org/10.1073/pnas.1709141115 | (2018) bioRxiv, https://doi.org/10.1101/269498.

6. Exposito-Alonso, M.^*, Becker, C^*., Schuenemann, V.J., Reitter, E., Setzer, C., Slovak, R., Brachi, B., Hagmann, J., Grimm, D.G., Jiahui, C., Busch, W., Bergelson, J., Ness, R.W., Krause, J., Burbano, H.A., Weigel, D., (2018). The rate and effect of new mutations in a colonizing plant lineage. PLOS Genetics, 14, e1007155. https://doi.org/10.1371/journal.pgen.1007155 | (2016) bioRxiv, https://doi.org/10.1101/050203 | Cover: http://blogs.plos.org/biologue/files/2018/02/Feb_2018.pdf.

5. Exposito-Alonso, M., Vasseur, F., Ding, W., Wang, G., Burbano, H.A., Weigel, D., (2018). Genomic basis and evolutionary potential for extreme drought adaptation in Arabidopsis thaliana. Nature Ecology & Evolution 2, 352–358. https://doi.org/10.1038/s41559-017-0423-0 | (2017) bioRxiv, https://doi.org/10.1101/118067.

2017

4. Lee, C.-R., Svardal, H., Farlow, A., Exposito-Alonso, M., Ding, W., Novikova, P., Alonso-Blanco, C., Weigel, D., Nordborg, M., (2017). On the post-glacial spread of human commensal Arabidopsis thaliana. Nature Communications. 8, 14458. https://doi.org/10.1038/ncomms14458.

2016

3. Kawakatsu, T., Huang, S. C., Jupe, F., Sasaki, E., Schmitz, R. J., Urich, M. A., Castanon, R., Nery, J. R., Barragan, C., He, Y., Chen, H., Dubin, M., Lee, C. R., Wang, C., Bemm, F., Becker, C., O'Neil, R., O'Malley, R. C., Quarless, D. X., 1001 Genomes Consortium, Schork, N. J., Weigel, D., Nordborg, M., Ecker, J. R. (2016). Epigenomic diversity in a global collection of Arabidopsis thaliana accessions. Cell 166, 492-505, doi.org/10.1016/j.cell.2016.06.044.

2. Iakovidis, M., Teixeira, P.J.P.L., Exposito-Alonso, M., Cowper, M.G., Law, T.F., Liu, Q., Vu, M.C., Dang, T.M., Corwin, J.A., Weigel, D., Dangl, J.L., Grant, S.R., (2016). Effector-triggered immune response in Arabidopsis thaliana is a quantitative trait. Genetics 204, 337–353. https://doi.org/10.1534/genetics.116.190678.

1. 1001 Genomes Consortium, (2016). 1,135 Genomes reveal the global pattern of polymorphism in Arabidopsis thaliana. Cell 166, 481–491. https://doi.org/10.1016/j.cell.2016.05.063.

*equal contributions; **undergraduate or masters trainee

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