Literature DB >> 29505643

Extensive Genetic Diversity is Present within North American Switchgrass Germplasm.

Joseph Evans, Millicent D Sanciangco, Kin H Lau, Emily Crisovan, Kerrie Barry, Chris Daum, Hope Hundley, Jerry Jenkins, Megan Kennedy, Govindarajan Kunde-Ramamoorthy, Brieanne Vaillancourt, Ananta Acharya, Jeremy Schmutz, Malay Saha, Shawn M Kaeppler, E Charles Brummer, Michael D Casler, C Robin Buell.   

Abstract

Switchgrass ( is a perennial native North American grass present in two ecotypes: upland, found primarily in the northern range of switchgrass habitats, and lowland, found largely in the southern reaches of switchgrass habitats. Previous studies focused on a diversity panel of primarily northern switchgrass, so to expand our knowledge of genetic diversity in a broader set of North American switchgrass, exome capture sequence data were generated for 632 additional, primarily lowland individuals. In total, over 37 million single nucleotide polymorphisms (SNPs) were identified and a set of 1.9 million high-confidence SNPs were obtained from 1169 individuals from 140 populations (67 upland, 65 lowland, 8 admixed) were used in downstream analyses of genetic diversity and population structure. Seven separate population groups were identified with moderate genetic differentiation [mean fixation index (Fst) estimate of 0.06] between the lowland and the upland populations. Ecotype-specific and population-specific SNPs were identified for use in germplasm evaluations. Relative to rice ( L.), maize ( L.), soybean [ (L.) Merr.], and Gaertn., analyses of nucleotide diversity revealed a high degree of genetic diversity (0.0135) across all individuals, consistent with the outcrossing mode of reproduction and the polyploidy of switchgrass. This study supports the hypothesis that repeated glaciation events, ploidy barriers, and restricted gene flow caused by flowering time differences have resulted in distinct gene pools across ecotypes and geographic regions. These data provide a resource to associate alleles with traits of interest for forage, restoration, and biofuel feedstock efforts in switchgrass.
Copyright © 2018 Crop Science Society of America.

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Year:  2018        PMID: 29505643     DOI: 10.3835/plantgenome2017.06.0055

Source DB:  PubMed          Journal:  Plant Genome        ISSN: 1940-3372            Impact factor:   4.089


  9 in total

1.  Influence of Pollen Dispersal and Mating Pattern in Domestication of Intermediate Wheatgrass, a Novel Perennial Food Crop.

Authors:  Prabin Bajgain; Yaniv Brandvain; James A Anderson
Journal:  Front Plant Sci       Date:  2022-04-28       Impact factor: 6.627

2.  Genomic Variation Shaped by Environmental and Geographical Factors in Prairie Cordgrass Natural Populations Collected across Its Native Range in the USA.

Authors:  Jia Guo; Patrick J Brown; Albert L Rayburn; Carolyn J Butts-Wilmsmeyer; Arvid Boe; DoKyoung Lee
Journal:  Genes (Basel)       Date:  2021-08-13       Impact factor: 4.096

3.  QTL × environment interactions underlie adaptive divergence in switchgrass across a large latitudinal gradient.

Authors:  David B Lowry; John T Lovell; Li Zhang; Jason Bonnette; Philip A Fay; Robert B Mitchell; John Lloyd-Reilley; Arvid R Boe; Yanqi Wu; Francis M Rouquette; Richard L Wynia; Xiaoyu Weng; Kathrine D Behrman; Adam Healey; Kerrie Barry; Anna Lipzen; Diane Bauer; Aditi Sharma; Jerry Jenkins; Jeremy Schmutz; Felix B Fritschi; Thomas E Juenger
Journal:  Proc Natl Acad Sci U S A       Date:  2019-06-10       Impact factor: 11.205

4.  Genomic Prediction for Winter Survival of Lowland Switchgrass in the Northern USA.

Authors:  Hari P Poudel; Millicent D Sanciangco; Shawn M Kaeppler; C Robin Buell; Michael D Casler
Journal:  G3 (Bethesda)       Date:  2019-06-05       Impact factor: 3.154

5.  Transcriptome divergence during leaf development in two contrasting switchgrass (Panicum virgatum L.) cultivars.

Authors:  Nathan A Palmer; R V Chowda-Reddy; Anthony A Muhle; Satyanarayana Tatineni; Gary Yuen; Serge J Edmé; Robert B Mitchell; Gautam Sarath
Journal:  PLoS One       Date:  2019-09-12       Impact factor: 3.240

6.  Benchmarking Parametric and Machine Learning Models for Genomic Prediction of Complex Traits.

Authors:  Christina B Azodi; Emily Bolger; Andrew McCarren; Mark Roantree; Gustavo de Los Campos; Shin-Han Shiu
Journal:  G3 (Bethesda)       Date:  2019-11-05       Impact factor: 3.154

7.  Breeding progress and preparedness for mass-scale deployment of perennial lignocellulosic biomass crops switchgrass, miscanthus, willow and poplar.

Authors:  John Clifton-Brown; Antoine Harfouche; Michael D Casler; Huw Dylan Jones; William J Macalpine; Donal Murphy-Bokern; Lawrence B Smart; Anneli Adler; Chris Ashman; Danny Awty-Carroll; Catherine Bastien; Sebastian Bopper; Vasile Botnari; Maryse Brancourt-Hulmel; Zhiyong Chen; Lindsay V Clark; Salvatore Cosentino; Sue Dalton; Chris Davey; Oene Dolstra; Iain Donnison; Richard Flavell; Joerg Greef; Steve Hanley; Astley Hastings; Magnus Hertzberg; Tsai-Wen Hsu; Lin S Huang; Antonella Iurato; Elaine Jensen; Xiaoli Jin; Uffe Jørgensen; Andreas Kiesel; Do-Soon Kim; Jianxiu Liu; Jon P McCalmont; Bernard G McMahon; Michal Mos; Paul Robson; Erik J Sacks; Anatolii Sandu; Giovanni Scalici; Kai Schwarz; Danilo Scordia; Reza Shafiei; Ian Shield; Gancho Slavov; Brian J Stanton; Kankshita Swaminathan; Gail Taylor; Andres F Torres; Luisa M Trindade; Timothy Tschaplinski; Gerald A Tuskan; Toshihiko Yamada; Chang Yeon Yu; Ronald S Zalesny; Junqin Zong; Iris Lewandowski
Journal:  Glob Change Biol Bioenergy       Date:  2018-10-23       Impact factor: 4.745

Review 8.  Marginal Lands to Grow Novel Bio-Based Crops: A Plant Breeding Perspective.

Authors:  Francesco Pancaldi; Luisa M Trindade
Journal:  Front Plant Sci       Date:  2020-03-03       Impact factor: 5.753

9.  Differential Defense Responses of Upland and Lowland Switchgrass Cultivars to a Cereal Aphid Pest.

Authors:  Lise Pingault; Nathan A Palmer; Kyle G Koch; Tiffany Heng-Moss; Jeffrey D Bradshaw; Javier Seravalli; Paul Twigg; Joe Louis; Gautam Sarath
Journal:  Int J Mol Sci       Date:  2020-10-27       Impact factor: 5.923

  9 in total

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