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Four chromosome scale genomes and a pan-genome annotation to accelerate pecan tree breeding

Author

Listed:
  • John T. Lovell

    (HudsonAlpha Institute for Biotechnology)

  • Nolan B. Bentley

    (Texas A&M University)

  • Gaurab Bhattarai

    (Genetics & Genomics, University of Georgia)

  • Jerry W. Jenkins

    (HudsonAlpha Institute for Biotechnology)

  • Avinash Sreedasyam

    (HudsonAlpha Institute for Biotechnology)

  • Yanina Alarcon

    (Noble Research Institute)

  • Clive Bock

    (USDA Southeastern Fruit and Tree Nut Research Laboratory)

  • Lori Beth Boston

    (HudsonAlpha Institute for Biotechnology)

  • Joseph Carlson

    (DOE Joint Genome Institute)

  • Kimberly Cervantes

    (New Mexico State University)

  • Kristen Clermont

    (USDA-ARS Food Processing and Sensory Quality Research)

  • Sara Duke

    (USDA-ARS Plains Area Administrative Office)

  • Nick Krom

    (Noble Research Institute)

  • Keith Kubenka

    (USDA Pecan Breeding and Genetics)

  • Sujan Mamidi

    (HudsonAlpha Institute for Biotechnology)

  • Christopher P. Mattison

    (USDA-ARS Food Processing and Sensory Quality Research)

  • Maria J. Monteros

    (Noble Research Institute)

  • Cristina Pisani

    (USDA Southeastern Fruit and Tree Nut Research Laboratory)

  • Christopher Plott

    (HudsonAlpha Institute for Biotechnology)

  • Shanmugam Rajasekar

    (University of Arizona)

  • Hormat Shadgou Rhein

    (New Mexico State University)

  • Charles Rohla

    (Noble Research Institute)

  • Mingzhou Song

    (New Mexico State University)

  • Rolston St. Hilaire

    (New Mexico State University)

  • Shengqiang Shu

    (DOE Joint Genome Institute)

  • Lenny Wells

    (University of Georgia-Tifton Campus)

  • Jenell Webber

    (HudsonAlpha Institute for Biotechnology)

  • Richard J. Heerema

    (New Mexico State University)

  • Patricia E. Klein

    (Texas A&M University)

  • Patrick Conner

    (University of Georgia-Tifton Campus)

  • Xinwang Wang

    (USDA Pecan Breeding and Genetics)

  • L. J. Grauke

    (USDA Pecan Breeding and Genetics)

  • Jane Grimwood

    (HudsonAlpha Institute for Biotechnology)

  • Jeremy Schmutz

    (HudsonAlpha Institute for Biotechnology
    DOE Joint Genome Institute)

  • Jennifer J. Randall

    (New Mexico State University)

Abstract

Genome-enabled biotechnologies have the potential to accelerate breeding efforts in long-lived perennial crop species. Despite the transformative potential of molecular tools in pecan and other outcrossing tree species, highly heterozygous genomes, significant presence–absence gene content variation, and histories of interspecific hybridization have constrained breeding efforts. To overcome these challenges, here, we present diploid genome assemblies and annotations of four outbred pecan genotypes, including a PacBio HiFi chromosome-scale assembly of both haplotypes of the ‘Pawnee’ cultivar. Comparative analysis and pan-genome integration reveal substantial and likely adaptive interspecific genomic introgressions, including an over-retained haplotype introgressed from bitternut hickory into pecan breeding pedigrees. Further, by leveraging our pan-genome presence–absence and functional annotation database among genomes and within the two outbred haplotypes of the ‘Lakota’ genome, we identify candidate genes for pest and pathogen resistance. Combined, these analyses and resources highlight significant progress towards functional and quantitative genomics in highly diverse and outbred crops.

Suggested Citation

  • John T. Lovell & Nolan B. Bentley & Gaurab Bhattarai & Jerry W. Jenkins & Avinash Sreedasyam & Yanina Alarcon & Clive Bock & Lori Beth Boston & Joseph Carlson & Kimberly Cervantes & Kristen Clermont &, 2021. "Four chromosome scale genomes and a pan-genome annotation to accelerate pecan tree breeding," Nature Communications, Nature, vol. 12(1), pages 1-12, December.
  • Handle: RePEc:nat:natcom:v:12:y:2021:i:1:d:10.1038_s41467-021-24328-w
    DOI: 10.1038/s41467-021-24328-w
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    Cited by:

    1. Ting Wang & Shiyao Duan & Chen Xu & Yi Wang & Xinzhong Zhang & Xuefeng Xu & Liyang Chen & Zhenhai Han & Ting Wu, 2023. "Pan-genome analysis of 13 Malus accessions reveals structural and sequence variations associated with fruit traits," Nature Communications, Nature, vol. 14(1), pages 1-15, December.
    2. Ya-Mei Ding & Xiao-Xu Pang & Yu Cao & Wei-Ping Zhang & Susanne S. Renner & Da-Yong Zhang & Wei-Ning Bai, 2023. "Genome structure-based Juglandaceae phylogenies contradict alignment-based phylogenies and substitution rates vary with DNA repair genes," Nature Communications, Nature, vol. 14(1), pages 1-13, December.

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