Skip to main navigation Skip to main content

Korean. J. Breed. Sci. : Korean Journal of Breeding Science

OPEN ACCESS
ABOUT
BROWSE ARTICLES
EDITORIAL POLICIES
FOR CONTRIBUTORS

Articles

Article

RIL집단을 활용한 콩 종실의 취반특성 검정 및 연관 QTL 탐색

허진호1,2, 김지민1, 이택림1,3, 정지영1, 신일섭1, 이주석2, 강성택1,*

QTL Analysis of Seed Cooking Quality using RIL Population in Black Soybean

Korean Journal of Breeding Science 2022;54(1):25-33.
Published online: March 1, 2022

1충청남도 천안시 단대로 119 단국대학교 생명공학대학 식량생명공학전공

2충청북도 청주시 오창읍 한국생명공학연구원 바이오평가센터

3경기도 평택시 오성면 경기도종자관리소

1Department of Crop Science and Biotechnology, Dankook University, Cheonan 31116, Republic of Korea

2Bio-Evaluation Center, Korea Research Institute of Bioscience and Biotechnology, Cheongju 28116, Republic of Korea

3Seed Management Office, Gyeonggi-do Provincial Government, Pyeongtaek 17819, Republic of Korea

*Corresponding Author (E-mail: kangst@dankook.ac.kr, Tel: +82-41-550-3621)
• Received: January 24, 2022   • Revised: February 10, 2022   • Accepted: February 11, 2022

Copyright © 2022 by the Korean Society of Breeding Science

This is an open-access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

  • 105 Views
  • 0 Download
  • 3 Crossref
prev next

Citations

Citations to this article as recorded by  Crossref logo
  • Genetic Dissection of Resistance to Pseudomonas amygdali pv. tabaci in Soybean [Glycine max (L.) Merr.] by Linkage Analysis
    Seo Yoon Yang, In-Jeong Kang, Ji-Min Kim, Sungtaeg Kang, Sungwoo Lee
    The Plant Pathology Journal.2026; 42(2): 207.     CrossRef
  • Soybean2035: A decadal vision for soybean functional genomics and breeding
    Zhixi Tian, Alexandre Lima Nepomuceno, Qingxin Song, Robert M. Stupar, Bin Liu, Fanjiang Kong, Jianxin Ma, Suk-Ha Lee, Scott A. Jackson
    Molecular Plant.2025; 18(2): 245.     CrossRef
  • Genetic dissection of resistance to Phytophthora sojae using genome-wide association and linkage analysis in soybean [Glycine max (L.) Merr.]
    Hee Jin You, Ik Hyun Jang, Jung-Kyung Moon, In-Jeong Kang, Ji-Min Kim, Sungtaeg Kang, Sungwoo Lee
    Theoretical and Applied Genetics.2024;[Epub]     CrossRef

Download Citation

Download a citation file in RIS format that can be imported by all major citation management software, including EndNote, ProCite, RefWorks, and Reference Manager.

Format:

Include:

QTL Analysis of Seed Cooking Quality using RIL Population in Black Soybean
Korean. J. Breed. Sci.. 2022;54(1):25-33.   Published online March 1, 2022
Download Citation

Download a citation file in RIS format that can be imported by all major citation management software, including EndNote, ProCite, RefWorks, and Reference Manager.

Format:
Include:
QTL Analysis of Seed Cooking Quality using RIL Population in Black Soybean
Korean. J. Breed. Sci.. 2022;54(1):25-33.   Published online March 1, 2022
Close

Figure

  • 0
  • 1
  • 2
  • 3
  • 4
  • 5
QTL Analysis of Seed Cooking Quality using RIL Population in Black Soybean
Image Image Image Image Image Image
Fig. 1 Procedure and device of measurement of seed quality after cooking with rice (A) Arrangement of materials before cooking with rice (B) Electric rice cooker (C) Arrangement of materials after cooking with rice (D) Hardness tester (FHR-1, NOW, JAPAN) (E) Digital refractometers (PAL-1, ATAGO, U.S.A).
Fig. 2 Distribution of seed hardness, brix after cooking with rice and water absorption in two RIL population. Daepung (P1) is represented to dashed box, Socheong2 (P2) is represented to black box, Ilpumgeomjeong (P3) is represented to white box. A : seed hardeness after cooking with rice in Daepung×Socheong2 population (black), Daepung×Ilpumgeomjeong RIL population (white), B : seed brix after cooking with rice in Daepung× Socheong2 population (black), Daepung×Ilpumgeomjeong RIL population (white), C : water absorption in Daepung×Socheong2 population (black), Daepung×Ilpumgeomjeong RIL population (white).
Fig. 3 Genetic map for the two RIL populations A: Daepung×Socheong2 RIL population, B : Daepung×Ilpumgeomjeong RIL population. Black bars mean SNP marker position on each chromosome.
Fig. 4 Identification of QTLs and candidate gene related to seed hardness after cooking with rice in Daepung×Socheong2 RIL population. A : LOD graph on whole genome, B : LOD graph on chromosome 11, C : Candidate genes on chromosome 11.
Fig. 5 Identification of QTLs and candidate gene related to seed hardness after cooking with rice in Daepung×Ilpumgeomjeong RIL population. A : LOD graph on whole genome, B : LOD graph on chromosome 7, C : LOD graph on chromosome 19, D : Candidate genes on chromosome 7, E : Candidate genes on chromosome 19.
Fig. 6 Identification of QTLs and candidate gene related to water absorption in Daepung×Ilpumgeomjeong RIL population. A : LOD graph on whole genome, B : LOD graph on chromosome 7, C : LOD graph on chromosome 19, D : Candidate genes on chromosome 7, E : Candidate genes on chromosome 19.
QTL Analysis of Seed Cooking Quality using RIL Population in Black Soybean

Summary of result for three seed quality traits after cooking with rice in two RIL populations

Population Trait Parents RIL population
Daepung Founder Mean±SD Range
Daepung
×
Socheong2
Cooked seed hardness (N) 3.5±0.2 2.6±0.1 2.7±0.4 2.1~3.5
Sucrose content (Brix%) 14.3±1.2 11.0±0.0 10.9±1.3 9.0~12.7
Water absorption (%) 61.8±4.3 86.9±3.3 86.7±12.0 63.6~103.9
Daepung
×
Ilpumgeomjeong
Cooked seed hardness (N) 3.5±0.2 2.4±0.7 2.7±0.4 1.9~3.7
Sucrose content (Brix%) 14.3±1.2 12.3±1.2 12.3±1.0 9.8~15.0
Water absorption (%) 61.8±4.3 810.0±9.8 79.9±8.3 56.1~96.9

Correlation coefficients between three seed quality traits after cooking with rice in two RIL populations

Population Trait Cooked seed hardness (N) Sucrose content (Brix%) Water absorption (%)
Daepung
×
Socheong2
Cooked seed hardness (N) 1
Sucrose content (Brix%) 0.224* 1
Water absorption (%) -0.697*** -0.508*** 1
Daepung
×
Ilpumgeomjeong
Cooked seed hardness (N) 1
Sucrose content (Brix%) 0.450*** 1
Water absorption (%) -0.228* -0.327*** 1

List of QTLs associated with cooked seed hardness and water absorption in two RIL populations

RIL population Trait Chrz Markers physical
position (bp)y
Intervalx LODw PVE (%)v Addu Number of candidate gene Published gene Potential candidate gene
Daepung
×
Socheong2
Cooked seed hardness 11 AX-90402610
~
AX-90476968
3,721,311
~
3,999,032
277,721 3.3 13.6 0.1 27 3 Peroxidase
Glyma.11g049600
Daepung
×
Ilpumgeomjeong
Cooked seed hardness 7 AX-90450539
~
AX-90519477
35,730,875
~
36,675,391
944,516 3.4 6.2 -0.1 81 1 -
19 AX-90322246
~
AX-90434088
32,353,983
~
37,152,969
4,798,986 4.2 7.9 0.1 219 25 Pectin Methylesterase
Inhibitor
Glyma.19g092600
Water
absorption
3 AX-90430380
~
AX-90519747
34,432,251
~
36,200,178
1,767,927 3.7 20.0 -2.8 154 17 -
Table 1 Summary of result for three seed quality traits after cooking with rice in two RIL populations
Table 2 Correlation coefficients between three seed quality traits after cooking with rice in two RIL populations

Ns: not significant, p<0.05 : *, p<0.01 : **, p<0.001 : ***

Table 3 List of QTLs associated with cooked seed hardness and water absorption in two RIL populations

zchromosome

yinformation from Glyma.Wm82.a2.v1 genome browser (Grant et al. 2010)

xphysical distance between two markers

wlogarithm of odds score, threshold was 2.79 from permutation test

vphenotypic variation explained by the marker

umean of the distribution (P2-P1)/2