High‐density linkage map reveals QTL underlying growth traits in AP13×VS16 biparental population of switchgrass

Ali, Shahjahan; Serba, Desalegn D.; Jenkins, Jerry; Kwon, Soonil; Schmutz, Jeremy; Saha, Malay C.

doi:10.1111/gcbb.12592

Title: High‐density linkage map reveals QTL underlying growth traits in AP13×VS16 biparental population of switchgrass

Journal Article · Tue Jan 29 00:00:00 EST 2019 · Global Change Biology. Bioenergy

DOI:https://doi.org/10.1111/gcbb.12592· OSTI ID:1504288

Ali, Shahjahan ^[1]; Serba, Desalegn D. ^[2]; Jenkins, Jerry ^[3]; Kwon, Soonil ^[1]; Schmutz, Jeremy ^[4];

^[1]

Noble Research Institute, LLC. Ardmore Oklahoma
Kansas State University, AG Research Centers‐Hays Hays Kansas
Hudson Alpha Institute for Biotechnology Huntsville Alabama
Department of Energy Joint Genome Institute Walnut Creek California

Abstract Switchgrass ( Panicum virgatum L.), a native warm‐season perennial grass, is being considered as a feedstock for biofuel production in the United States. To expedite its genetic improvement and enhance genetic gain per selection cycle, application of marker‐assisted selection is indispensable. A high‐density linkage map was constructed in a pseudo‐F ₁ testcross mapping population of AP13×VS16, consisting of 349 progenies. A total of 8,757 single nucleotide polymorphism (SNP) markers generated through genotype‐by‐sequencing (GBS) were used to construct the linkage map. The total map length spans up to 2,540.2 cM with the marker density of one marker in every 0.25–0.34 cM. Spring green‐up (SG), days to flowering (FL), and the vegetative growth period (VP) data were analyzed and used for quantitative trait loci (QTL) mapping. The population showed significant variations and exhibited transgressive segregation for SG, FL, and VP. QTL analyses were performed using trait mean of each year and location along with BLUP (best linear unbiased prediction) values of the traits. A total of 35, 37, and 34 QTL for SG, FL, and VP, respectively, were identified. Phenotypic variability explained by each QTL ranged from 11.29% to 27.85%. The additive genetic effects of individual QTL ranged from −1.81 to 2.40, −6.12 to 7.58, and −16.01 to 6.38 for SG, FL, and VP, respectively. Comparing major QTL regions in the switchgrass genome, 20 candidate genes were identified which were reported to be involved in growth‐, development‐, and flowering‐related traits in switchgrass.

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Sponsoring Organization:: USDOE

OSTI ID:: 1504288

Alternate ID(s):: OSTI ID: 1504289

Journal Information:: Global Change Biology. Bioenergy, Journal Name: Global Change Biology. Bioenergy Vol. 11 Journal Issue: 5; ISSN 1757-1693

Publisher:: Wiley-BlackwellCopyright Statement

Country of Publication:: United Kingdom

Language:: English

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Cited by: 13 works

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