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  1. Strain dropouts reveal interactions that govern the metabolic output of the gut microbiome

    This article has 22 authors:
    1. Min Wang
    2. Lucas J. Osborn
    3. Sunit Jain
    4. Xiandong Meng
    5. Allison Weakley
    6. Jia Yan
    7. William J. Massey
    8. Venkateshwari Varadharajan
    9. Anthony Horak
    10. Rakhee Banerjee
    11. Daniela S. Allende
    12. E. Ricky Chan
    13. Adeline M. Hajjar
    14. Zeneng Wang
    15. Alejandra Dimas
    16. Aishan Zhao
    17. Kazuki Nagashima
    18. Alice G. Cheng
    19. Steven Higginbottom
    20. Stanley L. Hazen
    21. J. Mark Brown
    22. Michael A. Fischbach

    Reviewed by Arcadia Science

    This article has 16 evaluationsAppears in 1 listLatest version Latest activity
  2. Evolutionary dynamics of genome size and content during the adaptive radiation of Heliconiini butterflies

    This article has 15 authors:
    1. Francesco Cicconardi
    2. Edoardo Milanetti
    3. Erika C. Pinheiro de Castro
    4. Anyi Mazo-Vargas
    5. Steven M. Van Belleghem
    6. Angelo Alberto Ruggieri
    7. Pasi Rastas
    8. Joseph Hanly
    9. Elizabeth Evans
    10. Chris D. Jiggins
    11. W. Owen McMillan
    12. Riccardo Papa
    13. Daniele Di Marino
    14. Arnaud Martin
    15. Stephen H. Montgomery

    Reviewed by Arcadia Science

    This article has 20 evaluationsAppears in 1 listLatest version Latest activity
  3. Protein evidence of unannotated ORFs in Drosophila reveals diversity in the evolution and properties of young proteins

    This article has 2 authors:
    1. Eric B Zheng
    2. Li Zhao
    This article has been curated by 1 group:
    • Curated by eLife

      Evaluation Summary:

      By integrating in silico predictions and mass-spectrometry, this manuscript tackles the problem of annotating the currently nameless stretches of genomic sequence that actually code for proteins. The hundreds of protein coding fruit fly genes described here offer new inroads for studying some of the very youngest functional elements in genomes, particularly those that have recently emerged from non-coding DNA sequences. To clarify the biological significance of the present study, the authors should both highlight the genes mostly like to encode functional products and conduct a comparison to published datasets that used different methods to identify such genes in fruit flies.

      (This preprint has been reviewed by eLife. We include the public reviews from the reviewers here; the authors also receive private feedback with suggested changes to the manuscript. The reviewers remained anonymous to the authors.)

    Reviewed by Arcadia Science, eLife

    This article has 21 evaluationsAppears in 2 listsLatest version Latest activity