RISS 학술연구정보서비스

검색

인기 검색어

    다국어 입력

    http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.

    변환된 중국어를 복사하여 사용하시면 됩니다.

    예시)
    • 中文 을 입력하시려면 zhongwen을 입력하시고 space를누르시면됩니다.
    • 北京 을 입력하시려면 beijing을 입력하시고 space를 누르시면 됩니다.
    닫기

    벼멸구(Nilaparvata lugens) 국내 유입 특성 규명을 위한 RNA-seq 기반 집단유전 분석 = RNA-seq–Based Population Genetic Analysis to Elucidate the Introduction Dynamics of the Brown Planthopper (Nilaparvata lugens) in Korea

    한글로보기

    https://www.riss.kr/link?id=T17370136

    • 0

      상세조회
    • 0

      다운로드
    서지정보 열기
    • 내보내기
    • 내책장담기
    • 공유하기
    • 오류접수
    인용문이 복사되었습니다.

    부가정보

    다국어 초록 (Multilingual Abstract) kakao i 다국어 번역

    We assessed the population genetic structure of the brown planthopper, Nilaparvata lugens (Stål), in Korea using genome-wide SNPs derived from RNA-Seq. Adults were collected from 6 rice-growing regions in Korea in 2024. For each region, three replicate RNA samples were prepared by pooling 10 adults per replicate, resulting in 39 pooled RNA-seq libraries (totaling 390 individuals). After quality control and variant filtering, 1,254,719 high-quality SNP loci were retained for downstream analyses.
    Across populations, observed heterozygosity (Ho) exceeded expected heterozygosity (He), and fixation indices (FIS) were predominantly negative, indicating a heterozygosity excess pattern at the pooled-sample level. AMOVA attributed 13.94% of the total genetic variation to differences among populations (Φ_ST = 0.139). Bayesian clustering (fastSTRUCTURE), PCA, and DAPC consistently revealed extensive admixture and weak geographic differentiation, with no apparent region-specific clustering. Pairwise FST values were generally close to zero (often negative), whereas higher differentiation was observed for comparisons involving the laboratory control versus a subset of field populations.
    Overall, Korean collections showed limited population subdivision and broad sharing of genetic components across regions. Although insecticide resistance phenotypes (or resistance-associated loci) were not directly tested in this study, the observed connectivity implies that resistance-related genetic backgrounds—if present—could be broadly shared among regions, underscoring the value of coordinated, wide-area surveillance.
    번역하기

    We assessed the population genetic structure of the brown planthopper, Nilaparvata lugens (Stål), in Korea using genome-wide SNPs derived from RNA-Seq. Adults were collected from 6 rice-growing regions in Korea in 2024. For each region, three replica...

    We assessed the population genetic structure of the brown planthopper, Nilaparvata lugens (Stål), in Korea using genome-wide SNPs derived from RNA-Seq. Adults were collected from 6 rice-growing regions in Korea in 2024. For each region, three replicate RNA samples were prepared by pooling 10 adults per replicate, resulting in 39 pooled RNA-seq libraries (totaling 390 individuals). After quality control and variant filtering, 1,254,719 high-quality SNP loci were retained for downstream analyses.
    Across populations, observed heterozygosity (Ho) exceeded expected heterozygosity (He), and fixation indices (FIS) were predominantly negative, indicating a heterozygosity excess pattern at the pooled-sample level. AMOVA attributed 13.94% of the total genetic variation to differences among populations (Φ_ST = 0.139). Bayesian clustering (fastSTRUCTURE), PCA, and DAPC consistently revealed extensive admixture and weak geographic differentiation, with no apparent region-specific clustering. Pairwise FST values were generally close to zero (often negative), whereas higher differentiation was observed for comparisons involving the laboratory control versus a subset of field populations.
    Overall, Korean collections showed limited population subdivision and broad sharing of genetic components across regions. Although insecticide resistance phenotypes (or resistance-associated loci) were not directly tested in this study, the observed connectivity implies that resistance-related genetic backgrounds—if present—could be broadly shared among regions, underscoring the value of coordinated, wide-area surveillance.

    더보기

    목차 (Table of Contents)

    • 목 차
    • 표 목차 8
    • 그림 목차 9
    • 목 차
    • 표 목차 8
    • 그림 목차 9
    • 1. 서론 10
    • 2. 연구사 13
    • 3. 재료 및 방법 16
    • 3.1. 공시충 수집 및 RNA 추출 16
    • 3.2. 라이브러리 제작 및 시퀀싱 데이터 전처리 18
    • 3.3. 참조 유전체 정렬 및 SNP 변이 탐색 20
    • 3.4. 집단 유전학적 통계 분석 21
    • 4. 결과 23
    • 4.1. 유전적 다양성 23
    • 4.2. 집단 유전 구조 26
    • 4.3. 주성분 분석 (PCA) 및 판별 분석 (DAPC) 28
    • 4.4. 계통수 및 유전적 분화도 31
    • 5. 고찰 36
    • 6. 참고문헌 39
    • 부록 목차 46
    더보기

    분석정보

    View

    상세정보조회

    0

    Usage

    원문다운로드

    0

    대출신청

    0

    복사신청

    0

    EDDS신청

    0

    동일 주제 내 활용도 TOP

    더보기

    주제

    연도별 연구동향

    연도별 활용동향

    연관논문

    연구자 네트워크맵

    공동연구자 (7)

    유사연구자 (20) 활용도상위20명

    이 자료와 함께 이용한 RISS 자료

    나만을 위한 추천자료

    해외이동버튼