Cargando…

Identification and Validation of Major QTLs, Epistatic Interactions, and Candidate Genes for Soybean Seed Shape and Weight Using Two Related RIL Populations

Understanding the genetic mechanism underlying seed size, shape, and weight is essential for enhancing soybean cultivars. High-density genetic maps of two recombinant inbred line (RIL) populations, LM6 and ZM6, were evaluated across multiple environments to identify and validate M-QTLs as well as id...

Descripción completa

Detalles Bibliográficos
Autores principales:	Elattar, Mahmoud A., Karikari, Benjamin, Li, Shuguang, Song, Shiyu, Cao, Yongce, Aslam, Muhammed, Hina, Aiman, Abou-Elwafa, Salah Fatouh, Zhao, Tuanjie
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Frontiers Media S.A. 2021
Materias:	Genetics
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8195344/ https://www.ncbi.nlm.nih.gov/pubmed/34122518 http://dx.doi.org/10.3389/fgene.2021.666440

Ejemplares similares

High-Resolution Mapping in Two RIL Populations Refines Major “QTL Hotspot” Regions for Seed Size and Shape in Soybean (Glycine max L.)
por: Hina, Aiman, et al.
Publicado: (2020)

Genome-Wide Detection of Major and Epistatic Effect QTLs for Seed Protein and Oil Content in Soybean Under Multiple Environments Using High-Density Bin Map
por: Karikari, Benjamin, et al.
Publicado: (2019)

Deciphering the Genetic Architecture of Plant Height in Soybean Using Two RIL Populations Sharing a Common M8206 Parent
por: Cao, Yongce, et al.
Publicado: (2019)

Utilization of Interspecific High-Density Genetic Map of RIL Population for the QTL Detection and Candidate Gene Mining for 100-Seed Weight in Soybean
por: Karikari, Benjamin, et al.
Publicado: (2019)

Identification of major QTLs for soybean seed size and seed weight traits using a RIL population in different environments
por: Luo, Shilin, et al.
Publicado: (2023)

Identification of Additive–Epistatic QTLs Conferring Seed Traits in Soybean Using Recombinant Inbred Lines
por: Li, Meng, et al.
Publicado: (2020)

Identification of Major Quantitative Trait Loci for Seed Oil Content in Soybeans by Combining Linkage and Genome-Wide Association Mapping
por: Cao, Yongce, et al.
Publicado: (2017)

Whole-genome mapping identified novel “QTL hotspots regions” for seed storability in soybean (Glycine max L.)
por: Zhang, Xi, et al.
Publicado: (2019)

Epistatic QTLs for yield heterosis in tomato
por: Torgeman, Shai, et al.
Publicado: (2023)

Identification of quantitative trait nucleotides and candidate genes for soybean seed weight by multiple models of genome-wide association study
por: Karikari, Benjamin, et al.
Publicado: (2020)

Genome-wide association study uncovers major genetic loci associated with seed flooding tolerance in soybean
por: Sharmin, Ripa Akter, et al.
Publicado: (2021)

QTL and Candidate Genes for Seed Tocopherol Content in ‘Forrest’ by ‘Williams 82’ Recombinant Inbred Line (RIL) Population of Soybean
por: Knizia, Dounya, et al.
Publicado: (2022)

Identification of QTLs Linked to Phenological and Morphological Traits in RILs Population of Horsegram (Macrotyloma uniflorum)
por: Katoch, Megha, et al.
Publicado: (2022)

Understanding a Mechanistic Basis of ABA Involvement in Plant Adaptation to Soil Flooding: The Current Standing
por: Zhao, Yancui, et al.
Publicado: (2021)

Fine Mapping and Cloning of a Major QTL qph12, Which Simultaneously Affects the Plant Height, Panicle Length, Spikelet Number and Yield in Rice (Oryza sativa L.)
por: He, Niqing, et al.
Publicado: (2022)

Identification of Major QTLs Associated With First Pod Height and Candidate Gene Mining in Soybean
por: Jiang, Hongwei, et al.
Publicado: (2018)

QTLs and Candidate Genes for Seed Protein Content in Two Recombinant Inbred Line Populations of Soybean
por: Park, Hye Rang, et al.
Publicado: (2023)

Identification of QTLs for Arsenic Accumulation in Maize (Zea mays L.) Using a RIL Population
por: Ding, Dong, et al.
Publicado: (2011)

Detection of QTLs for Yield Heterosis in Rice Using a RIL Population and Its Testcross Population
por: Zhu, Yu-Jun, et al.
Publicado: (2016)

Identification of QTLs for resistance to maize rough dwarf disease using two connected RIL populations in maize
por: Wang, Xintao, et al.
Publicado: (2019)

Leveraging input and output structures for joint mapping of epistatic and marginal eQTLs
por: Lee, Seunghak, et al.
Publicado: (2012)

Seed protein content and its relationships with agronomic traits in pigeonpea is controlled by both main and epistatic effects QTLs
por: Obala, Jimmy, et al.
Publicado: (2020)

HvbZIP21, a Novel Transcription Factor From Wild Barley Confers Drought Tolerance by Modulating ROS Scavenging
por: Pan, Rui, et al.
Publicado: (2022)

Genetic Mapping for QTL Associated with Seed Nickel and Molybdenum Accumulation in the Soybean ‘Forrest’ by ‘Williams 82’ RIL Population
por: Bellaloui, Nacer, et al.
Publicado: (2023)

QTLs for earliness and yield-forming traits in the Lubuski × CamB barley RIL population under various water regimes
por: Ogrodowicz, Piotr, et al.
Publicado: (2016)

Identification of quantitative trait loci (QTLs) and candidate genes for seed shape and 100-seed weight in soybean [Glycine max (L.) Merr.]
por: Kumar, Rahul, et al.
Publicado: (2023)

Identification of several small main-effect QTLs and a large number of epistatic QTLs for drought tolerance related traits in groundnut (Arachishypogaea L.)
por: Ravi, K., et al.
Publicado: (2010)

Characterization of Epistatic Interaction of QTLs LH8 and EH3 Controlling Heading Date in Rice
por: Chen, Jingbin, et al.
Publicado: (2014)

4D genetic networks reveal the genetic basis of metabolites and seed oil-related traits in 398 soybean RILs
por: Han, Xu, et al.
Publicado: (2022)

Identification of quantitative trait loci (QTLs) and candidate genes of seed Iron and zinc content in soybean [Glycine max (L.) Merr.]
por: Wang, Huan, et al.
Publicado: (2022)

Genome-wide association studies reveal novel QTLs, QTL-by-environment interactions and their candidate genes for tocopherol content in soybean seed
por: Yu, Kuanwei, et al.
Publicado: (2022)

Identifications of QTLs and Candidate Genes Associated with Pseudomonas syringae Responses in Cultivated Soybean (Glycine max) and Wild Soybean (Glycine soja)
por: Wang, Jinhui, et al.
Publicado: (2023)

Characterizing Two Inter-specific Bin Maps for the Exploration of the QTLs/Genes that Confer Three Soybean Evolutionary Traits
por: Wang, Wubin, et al.
Publicado: (2016)

Identification and dissection of single seed weight QTLs by analysis of seed yield components in soybean
por: Fujii, Kenichiro, et al.
Publicado: (2018)

Genetic Architecture and Candidate Genes for Pubescence Length and Density and Its Relationship With Resistance to Common Cutworm in Soybean
por: Li, Yawei, et al.
Publicado: (2022)

QTL mapping for aluminum tolerance in RIL population of soybean (Glycine max L.) by RAD sequencing
por: Wang, Xinxin, et al.
Publicado: (2019)

Genome-wide associations and epistatic interactions for internode number, plant height, seed weight and seed yield in soybean
por: Assefa, Teshale, et al.
Publicado: (2019)

Genome-wide association identifies several QTLs controlling cysteine and methionine content in soybean seed including some promising candidate genes
por: Malle, Sidiki, et al.
Publicado: (2020)

Meta-analysis of cotton fiber quality QTLs across diverse environments in a Gossypium hirsutum x G. barbadense RIL population
por: Lacape, Jean-Marc, et al.
Publicado: (2010)

Molecular mapping and characterization of QTLs for grain quality traits in a RIL population of US rice under high nighttime temperature stress
por: Kumar, Anuj, et al.
Publicado: (2023)

Cannot write session to /tmp/vufind_sessions/sess_ire2os8fe70r6vulvl7a61jkol