초록 ▼

○ 콩 핵심집단 수정·보완 및 유전자형 분석, 농업형질 GWAS 분석
- 핵심집단 수정·보완 : 재배종 430점, 야생종 386점
- 개화일수, 모용색, 배축색 등 GWAS 분석에 의한 유전자영역 탐색
○ 거대 NAM 집단 완성 및 게놈전체 연관분석
- 약 3,000여 계통 구성된 NAM집단 완성 및 고밀도 유전자지도 완성
- 주요형질별 QTL 탐색 및 유전체 육종을 위한 선발 marker set 개발
○ 유전체 재분석 및 haplotype map 작성
- 콩 핵심집단의 208점의 유전체 재분석

○ 콩 핵심집단 수정·보완 및 유전자형 분석, 농업형질 GWAS 분석
- 핵심집단 수정·보완 : 재배종 430점, 야생종 386점
- 개화일수, 모용색, 배축색 등 GWAS 분석에 의한 유전자영역 탐색
○ 거대 NAM 집단 완성 및 게놈전체 연관분석
- 약 3,000여 계통 구성된 NAM집단 완성 및 고밀도 유전자지도 완성
- 주요형질별 QTL 탐색 및 유전체 육종을 위한 선발 marker set 개발
○ 유전체 재분석 및 haplotype map 작성
- 콩 핵심집단의 208점의 유전체 재분석 완료
- Rsv4 haplotype 동정, 침관수 저항성, 야생콩 꽃색 조절 유전자 해명


(출처 : 보고서 요약서 3P)

Abstract ▼

Purpose & Contents
The purpose of this study was to investigate major agronomic traits for GWAS analysis of core collection of Korea soybean, to develop core collection-V2 complementary core collection-V1, and to select useful genes for major agronomic traits through GWAS analysis. In addition, w

Purpose & Contents
The purpose of this study was to investigate major agronomic traits for GWAS analysis of core collection of Korea soybean, to develop core collection-V2 complementary core collection-V1, and to select useful genes for major agronomic traits through GWAS analysis. In addition, we were performed to establish a breeding platform for breeders to use easily and to develop a database of information related to genome breeding. For this work, we added 1,500 accessions to the core collection-V1. Finally, we developed the core collection-V2. We also investigated the agronomic traits of the core collection-V2 and explored useful genes for major agronomic traits through GWAS analysis.
The goal of this research is to construct research foundation to develop the elite soybean cultivars by identification of novel QTLs/genes using Nested Association Mapping (NAM) population followed by the Genome-Wide Association Study (GWAS). To achieve this goal, NAM population is developed in SDS-devired advanced RIL populations, and important agronomic traits were investigated. For each RILs, genotype data was obtained using 180K Axiom® SoyaSNP Assay. Based on the genotype and phenotype data, genetic linkage maps were constructed and important QTLs were identified. Additionally, genomic selection was made attempt to future genomics-based plant breeding.
The objectives of the second co-project were to establish a soybean genomics-breeding framework through the construction of haplotype map of Korean core soybean and to provide practical tools to use the information of the haplotype map. We obtained genome resequencing data of the soybean core collection, catalogued their genome variation, developed data mining tools to exploit the haplotype map, and collected phenotype data of agronomically important traits.

Results
We developed the core collection-V2 consisting 407 cultivated and 393 wild soybean that can replace the core collection-V1 in 4,500 total collection by 180K SNP array. Finally, we completed the core collection-V2 by adding 24 re-sequencing accessions. GWAS analysis was performed using phenotype and genotype in the core collection-V2. As a result of the GWAS analysis, we searched for regions that corresponded to the previously reported gene regions for days to flowering, flower color, pubescence color, hypocotyl color, and growth habit. These results indicate that there is a possibility to use for future unknown gene search.
The large-scale genetic mapping population, NAM population, with 3,000 lines was constructed, and high-density genetic linkage map was obtained. It consist of total 29,246 SNPs (1,462SNPs/chromosome) with 4,407cM of total length, and 0.16cM of interval length between each SNPs. QTL analysis results showed that a number of QTLs were identified in most of important agronomic quantitative traits. Furthermore, we investigated the potential for genomic selection. GWAS for NAM population was conducted to identify the QTLs and develop the practical SNP marker sets, which were specific for each important traits, for future soybean breeding. In summary, all the results indicate the positive potential of practical application of genomic breeding in soybean.
We have obtained high-depth (>15x) resequencing data of 208 soybean accessions, which are more than the planned 150. Millions of called SNPs were validated and used for soybean population genetic analysis. The SNP data is being used to construct the haplotype map. In the meantime, we have developed tools to exploit the haplotype map with several examples. First, we have constructed pseudomolecules of Hwangkeum and IT182932 for detection of structural variants in soybean genomes. Second, we have identified haplotypes at the Rsv4 genomic region in soybean associated with durable resistance to soybean mosaic virus. Third, we identified candidate domestication regions with significantly lower diversity in the cultivated, but not in the wild, soybeans. Fourth, we found that the gene that determined a rare white flower in wild soybean is the w4 allele arose through insertion of a nonautonomous transposon into the second intron of soybean DFR2. Fifth, we have collected phenotype data from a segregating population to identify genes conferring waterlogging resistance in soybean as well as collected phenotype data such as flowering time and seed quality from the soybean core collection.

Expected Contribution
The results of this study will contribute to a bridging role for promoting utilization in genome breeding studies. Also this could contribute to accelerate soybean breeding program with improved accuracy and will lead to the spread of genome breeding techniques. As a result, the results of this study will enable the development of selection marker for agronomic traits-dominant gene and will be the basis for genome breeding.
In this research, we introduced QTL analysis and GWAS using NAM population, which was first constructed in Korea. This could be a research foundation with great potential for genomic selection, and elite cultivar development using genomic information. Also this could contribute to accelerate soybean breeding program with improved accuracy. Finally, high-yield soybean cultivar, which is developed from current research program, could help to increase farmer’s international competitive powers and soybean self-support rate in Korea.
Our research results will serve as a foundation for fast and precision genomics breeding by providing bridging data between genomics and breeding. Our research results will lead to development of new high-yielding cultivars competitive for Korean farmers in Korea that imports a large part of its food consumed soybean and increase soybean self-sufficiency rate in this country.


(출처 : Summary 7P)

목차 Contents

• 표지 ... 1
• 제 출 문 ... 2
• 보고서 요약서 ... 3
• 국 문 요 약 문 ... 4
• Summary ... 7
• 목차 ... 10
• 제 1 장 연구 개발 과제의 개요 ... 11
• 제1절 연구 개발 목적 ... 11
• 제2절 연구 개발의 필요성 ... 11
• 제3절 연구 개발 범위 ... 12
• 제 2 장 국내외 기술개발 현황 ... 14
• 제1절 국내 연구 현황 ... 14
• 제2절 국외 연구 현황 ... 15
• 제3절 국내외 연구현황 비교 및 필요 연구 분야 ... 17
• 제 3 장 연구 수행 내용 및 결과 ... 18
• 제1절 연구수행 내용 ... 18
• 제2절 주요 결과 ... 22
• 제 4 장 목표달성도 및 관련분야 기여도 ... 85
• 제1절 : 목표대비 달성도 ... 85
• 제2절 : 정량적 성과(논문게재, 특허출원, 기타)를 기술 ... 86
• 제3절 : 연구성과의 활용·확산 목표 및 달성도를 기술 ... 86
• 제 5 장 연구 결과의 활용 계획 ... 89
• 제 6 장 연구 과정에서 수집한 해외 과학 기술 정보 ... 90
• 제 7 장 연구 개발 결과의 보안 등급 ... 91
• 제 8 장 국가과학기술지식정보서비스에 등록한 연구시설·장비 현황 ... 91
• 제 9 장 연구개발과제 수행에 따른 연구실 등의 안전조치 이행실적 ... 91
• 제 10 장 연구개발과제의 대표적 연구실적 ... 92
• 제 11 장 기타사항 ... 93
• 제 12 장 참고문헌 ... 94
• 끝페이지 ... 98