지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2022.2
- 수록면
- 145 - 154 (10page)
- DOI
- 10.1007/s13258-021-01186-w
이용수
초록· 키워드
오류제보하기
Background
The genetic basis of crop yield is an agricultural research hotspot. Identifying the genes related to yield traits is the key to increase the yield. Weeping forsythia is an emerging medicinal crop that currently lacks excellent varieties. The genes related to fruit yield in weeping forsythia have not been identified.
Objective
Thus, we aimed to screen the candidate genes related to fruit yield of weeping forsythia by using genome-wide association analysis.
Methods
Here, 60 samples from the same field and source of weeping forsythia were collected to identify its yield-related candidate genes. Association analysis was performed on the variant loci and the traits related to yield, i.e., fruit length, width, thickness, and weight.
Results
Results from admixture, neighbor-joining, and kinship matrix analyses supported the non-significant genetic differentiation of these samples. Significant association was found between 2 variant loci and fruit length, 8 loci and fruit width, 24 loci and fruit thickness, and 13 loci and fruit weight. Further search on the 20 kb up/downstream of these variant loci revealed 1 gene related to fruit length, 16 genes related to fruit width, 12 genes related to fruit thickness, and 13 genes related to fruit weight. Among which, 4 genes, namely, WRKY transcription factor 35, salicylic acid-binding protein, auxin response factor 6, and alpha-mannosidase were highly related to the fruit development of weeping forsythia.
Conclusion
This study identify four candidate genes related to fruit development, which will provide useful information for the subsequent molecular-assisted and genetic breeding of weeping forsythia.
목차
등록된 정보가 없습니다.
참고문헌 (0)
참고문헌 신청함께 읽어보면 좋을 논문
논문 유사도에 따라 DBpia 가 추천하는 논문입니다. 함께 보면 좋을 연관 논문을 확인해보세요!
-
Construction of Synaptic Neural Network for Genetic Interaction Analysis
Journal of The Korean Data Analysis Society
2021 .08
-
Genome-wide identification, characterisation and expression profile analysis of DEAD-box family genes in sweet potato wild ancestor Ipomoea trifida under abiotic stresses
Genes & Genomics
2020 .01
-
The SnRK2 family in pepper (Capsicum annuum L.): genome-wide identifcation and expression analyses during fruit development and under abiotic stress
Genes & Genomics
2020 .01
-
On the representation of probability vector with special diffusion operator using the mutation and gene conversion rate
한국수학논문집
2019 .01
-
Genome-wide association analysis for yield-related traits at the R6 stage in a Chinese soybean mini core collection
Genes & Genomics
2021 .08
-
Detection of favorable alleles for yield and yield components by association mapping in upland cotton
Genes & Genomics
2018 .01
-
Genetic Architecture of Transcription and Chromatin Regulation
Genomics & informatics
2015 .01
-
Genetic Mapping of a Resistance Locus to Phytophthora sojae in the Korean Soybean Cultivar Daewon
The Plant Pathology Journal
2020 .12
-
Genomic Insights into the Rice Blast Fungus through Estimation of Gene Emergence Time in Phylogenetic Context
Mycobiology
2018 .01
-
In silico markers: an evolutionary and statistical approach to select informative genes of human breast cancer subtypes
Genes & Genomics
2019 .01
-
The relationship between polymorphism of insulin-like growth factor I gene and susceptibility to type 2 diabetes in Uygur population, Xinjiang, China
Genes & Genomics
2022 .04
-
Enhancing performance of gene expression value prediction with cluster-based regression
Genes & Genomics
2021 .09
-
Identification and expression patterns of 20-hydroxyecdysoneresponsive genes from Procambarus clarkii
Genes & Genomics
2017 .01
-
Targeted next-generation sequencing for identifying genes related to horse temperament
Genes & Genomics
2017 .01
-
Genome-wide association analysis reveals the genetic locus for high reproduction trait in Chinese Arbas Cashmere goat
Genes & Genomics
2020 .01
-
Gene expression profiling for seed protein and oil synthesis during early seed development in soybean
Genes & Genomics
2015 .01
-
Applying a modified AUC to gene ranking
CSAM(Communications for Statistical Applications and Methods)
2018 .05
-
Genetic Hearing Loss and Gene Therapy
Genomics & informatics
2018 .01
-
Comparative transcriptome analysis reveals higher expression of stress and defense responsive genes in dwarf soybeans obtained from the crossing of G. max and G. soja
Genes & Genomics
2019 .01
이 논문의 저자 정보
최근 본 자료
댓글(0)
0