Peer-reviewed
12. Lind, B. M., Candido Ribeiro, R., Singh, P., Lu, M., Obreht Vidakovic, D., Booker, T. R., Whitlock, M. C., Yeaman, S., Isabel, N., & Aitken, S. N. (2024). How useful are genomic data for predicting maladaptation to future climate? Global Change Biology, 30, e17227. https://doi.org/10.1111/gcb.17227
11. Lu, M., Cao, M., Yang, J., Swenson, N. G. Comparative transcriptomics reveals divergence in pathogen response gene families amongst 20 forest tree species. (2023). G3 Genes|Genomes|Genetics, 13(12), jkad233. https://doi.org/10.1093/g3journal/jkad233
10. Mesarich, C.H., Barnes, I., Bradley, E.L., De La Rosa, S., de Wit, P. J. G. M. , Guo Y., Griffiths, S.A., Hamelin, R.C., Joosten, M.H.A.J., Lu, M.., Mccarthy, H.M., Schol, C.R., Stergiopoulos, I., Tarallo, M., Zaccaron, A.Z., Bradshaw, R.E. (2023) Beyond the genomes of Fulvia fulva (syn. Cladosporium fulvum) and Dothistroma septosporum: New insights into how these fungal pathogens interact with their host plants. Molecular Plant Pathology, 24, 474– 494. https://doi.org/10.1111/mpp.13309
9. Jasper, R. J., McDonald, T. K., Singh, P., Lu, M., Rougeux, C., Lind, B. M., & Yeaman, S. (2022). Evaluating the accuracy of variant calling methods using the frequency of parent-offspring genotype mismatch. Molecular Ecology Resources, 22, 2524– 2533. https://doi.org/10.1111/1755-0998.13628
8. Lind, B. M., Lu, M., Obreht Vidakovic, D., Singh, P., Booker, T., Aitken, S., & Yeaman, S. (2021). Haploid, diploid, and pooled exome capture recapitulate features of biology and paralogy in two non-model tree species. Molecular Ecology Resources, 00, 1– 14. https://doi.org/10.1111/1755-0998.13474
7. Lu, M., Feau N., Obreht Vidakovic D., Ukrainetz N., Wong B., Aitken S., Hamelin R., & Yeaman S. (2021). Comparative gene expression analysis reveals mechanism of Pinus contorta response to the fungal pathogen Dothistroma septosporum. Molecular Plant-Microbe Interactions, 34(4), 397-409. https://apsjournals.apsnet.org/doi/full/10.1094/MPMI-10-20-0282-R?rfr_dat=cr_pub++0pubmed&url_ver=Z39.88-2003&rfr_id=ori%3Arid%3Acrossref.org
6. Lu, M., Krutovsky, K. V., & Loopstra, C. A. (2019). Predicting adaptive genetic variation of loblolly pine (Pinus taeda L.) populations under projected future climates based on multivariate models. Journal of Heredity, 110(7), 857-865. https://academic.oup.com/jhered/article/110/7/857/5611066
5. Lu, M., Hodgins, K. A., Degner, J. C., & Yeaman, S. (2019). Purifying selection does not drive signatures of convergent local adaptation of lodgepole pine and interior spruce. BMC evolutionary biology, 19(1), 110. https://bmcevolbiol.biomedcentral.com/articles/10.1186/s12862-019-1438-8
4. Lu, M., Loopstra, C. A., & Krutovsky, K. V. (2019). Detecting the genetic basis of local adaptation in loblolly pine (Pinus taeda L.) using whole exome‐wide genotyping and an integrative landscape genomics analysis approach. Ecology and evolution, 9(12), 6798-6809. https://onlinelibrary.wiley.com/doi/full/10.1002/ece3.5225
3. Lu, M., Seeve, C. M., Loopstra, C. A., & Krutovsky, K. V. (2018). Exploring the genetic basis of gene transcript abundance and metabolite levels in loblolly pine (Pinus taeda L.) using association mapping and network construction. BMC genetics, 19(1), 100. https://bmcgenet.biomedcentral.com/articles/10.1186/s12863-018-0687-7
2. Lu, M., Krutovsky, K. V., Nelson, C. D., West, J. B., Reilly, N. A., & Loopstra, C. A. (2017). Association genetics of growth and adaptive traits in loblolly pine (Pinus taeda L.) using whole-exome-discovered polymorphisms. Tree Genetics & Genomes, 13(3), 57. https://www.fs.usda.gov/treesearch/pubs/55123
- Lu, M., Krutovsky, K. V., Nelson, C. D., Koralewski, T. E., Byram, T. D., & Loopstra, C. A. (2016). Exome genotyping, linkage disequilibrium and population structure in loblolly pine (Pinus taeda L.). BMC genomics, 17(1), 730. https://bmcgenomics.biomedcentral.com/articles/10.1186/s12864-016-3081-8
Book chapter
Lu, M., Loopstra, C. (2002). Understanding genetic architecutre of complex traits in loblolly pine. In: De La Torre, A.R. (eds) The Pine Genomes. Compendium of Plant Genomes. Springer, Cham. https://link.springer.com/chapter/10.1007/978-3-030-93390-6_6