Literature DB >> 30260043

Genetic and genomic resources of sorghum to connect genotype with phenotype in contrasting environments.

Richard E Boyles1,2, Zachary W Brenton2,3, Stephen Kresovich2,3.   

Abstract

With the recent development of genomic resources and high-throughput phenotyping platforms, the 21st century is primed for major breakthroughs in the discovery, understanding and utilization of plant genetic variation. Significant advances in agriculture remain at the forefront to increase crop production and quality to satisfy the global food demand in a changing climate all while reducing the environmental impacts of the world's food production. Sorghum, a resilient C4 grain and grass important for food and energy production, is being extensively dissected genetically and phenomically to help connect the relationship between genetic and phenotypic variation. Unlike genetically modified crops such as corn or soybean, sorghum improvement has relied heavily on public research; thus, many of the genetic resources serve a dual purpose for both academic and commercial pursuits. Genetic and genomic resources not only provide the foundation to identify and understand the genes underlying variation, but also serve as novel sources of genetic and phenotypic diversity in plant breeding programs. To better disseminate the collective information of this community, we discuss: (i) the genomic resources of sorghum that are at the disposal of the research community; (ii) the suite of sorghum traits as potential targets for increasing productivity in contrasting environments; and (iii) the prospective approaches and technologies that will help to dissect the genotype-phenotype relationship as well as those that will apply foundational knowledge for sorghum improvement.
© 2018 The Authors The Plant Journal © 2018 John Wiley & Sons Ltd.

Entities:  

Keywords:  association mapping; genomic selection; high-throughput phenotyping; multi-parent advanced generation inter-cross; nested association mapping

Year:  2018        PMID: 30260043     DOI: 10.1111/tpj.14113

Source DB:  PubMed          Journal:  Plant J        ISSN: 0960-7412            Impact factor:   6.417


  17 in total

1.  Quantitative trait loci mapping of stem sugar content and stem diameter in sorghum recombinant inbred lines using genotyping-by-sequencing.

Authors:  Abera Takele; Tileye Feyissa; Tesfaye Disasa
Journal:  Mol Biol Rep       Date:  2022-01-25       Impact factor: 2.316

2.  Systematic prediction of EMS-induced mutations in a sorghum mutant population.

Authors:  Jared M Simons; Tim C Herbert; Coleby Kauffman; Marc Y Batete; Andrew T Simpson; Yuka Katsuki; Dong Le; Danielle Amundson; Elizabeth M Buescher; Clifford Weil; Mitch Tuinstra; Charles Addo-Quaye
Journal:  Plant Direct       Date:  2022-05-25

Review 3.  Sorghum mitigates climate variability and change on crop yield and quality.

Authors:  Keerthi Chadalavada; B D Ranjitha Kumari; T Senthil Kumar
Journal:  Planta       Date:  2021-04-29       Impact factor: 4.116

4.  Maturity2, a novel regulator of flowering time in Sorghum bicolor, increases expression of SbPRR37 and SbCO in long days delaying flowering.

Authors:  Anna L Casto; Ashley J Mattison; Sara N Olson; Manish Thakran; William L Rooney; John E Mullet
Journal:  PLoS One       Date:  2019-04-10       Impact factor: 3.240

5.  Species-Specific Duplication Event Associated with Elevated Levels of Nonstructural Carbohydrates in Sorghum bicolor.

Authors:  Zachary W Brenton; Brendon T Juengst; Elizabeth A Cooper; Matthew T Myers; Kathleen E Jordan; Savanah M Dale; Jeffrey C Glaubitz; Xiaoyun Wang; Richard E Boyles; Erin L Connolly; Stephen Kresovich
Journal:  G3 (Bethesda)       Date:  2020-05-04       Impact factor: 3.154

Review 6.  Sorghum genetic, genomic, and breeding resources.

Authors:  Zhanguo Xin; Mingli Wang; Hugo E Cuevas; Junping Chen; Melanie Harrison; N Ace Pugh; Geoffrey Morris
Journal:  Planta       Date:  2021-11-05       Impact factor: 4.116

7.  Photons to food: genetic improvement of cereal crop photosynthesis.

Authors:  Robert T Furbank; Robert Sharwood; Gonzalo M Estavillo; Viridiana Silva-Perez; Anthony G Condon
Journal:  J Exp Bot       Date:  2020-04-06       Impact factor: 6.992

8.  Common metabolic networks contribute to carbon sink strength of sorghum internodes: implications for bioenergy improvement.

Authors:  Yin Li; Min Tu; Yaping Feng; Wenqing Wang; Joachim Messing
Journal:  Biotechnol Biofuels       Date:  2019-11-20       Impact factor: 6.040

9.  Profiling Alternative 3' Untranslated Regions in Sorghum using RNA-seq Data.

Authors:  Min Tu; Yin Li
Journal:  Front Genet       Date:  2020-10-26       Impact factor: 4.599

10.  Genetic characterization of a Sorghum bicolor multiparent mapping population emphasizing carbon-partitioning dynamics.

Authors:  J Lucas Boatwright; Zachary W Brenton; Richard E Boyles; Sirjan Sapkota; Matthew T Myers; Kathleen E Jordan; Savanah M Dale; Nadia Shakoor; Elizabeth A Cooper; Geoffrey P Morris; Stephen Kresovich
Journal:  G3 (Bethesda)       Date:  2021-04-15       Impact factor: 3.154

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