scholarly journals Brassica rapaSec14-like protein geneBrPATL4determines the genetic architecture of seed size and shape

2016 ◽  
Vol 43 (3) ◽  
pp. 332-340
Author(s):  
Joonki Kim ◽  
Hye-Jung Lee ◽  
Franz Marielle Nogoy ◽  
Dal-A Yu ◽  
Me-Sun Kim ◽  
...  
Keyword(s):  
Seed Size ◽  
Genetic Architecture ◽  
Size And Shape

Determination of the genetic architecture of seed size and shape via linkage and association analysis in soybean (Glycine max L. Merr.)

Genetica ◽  
2013 ◽  
Vol 141 (4-6) ◽  
pp. 247-254 ◽  
Author(s):  
Zhenbin Hu ◽  
Huairen Zhang ◽  
Guizhen Kan ◽  
Deyuan Ma ◽  
Dan Zhang ◽  
...  
Keyword(s):  
Glycine Max ◽  
Association Analysis ◽  
Seed Size ◽  
Genetic Architecture ◽  
Size And Shape ◽  
Linkage And Association Analysis ◽  
Glycine Max L

scholarly journals High-Resolution Mapping in Two RIL Populations Refines Major “QTL Hotspot” Regions for Seed Size and Shape in Soybean (Glycine max L.)

2020 ◽  
Vol 21 (3) ◽  
pp. 1040 ◽  
Author(s):  
Aiman Hina ◽  
Yongce Cao ◽  
Shiyu Song ◽  
Shuguang Li ◽  
Ripa Akter Sharmin ◽  
...  
Keyword(s):  
Seed Size ◽  
Composite Interval Mapping ◽  
Mixed Model ◽  
Gene Annotation ◽  
Soybean Seed ◽  
Interval Mapping ◽  
Epistatic Effect ◽  
Size And Shape ◽  
Network Analyses ◽  
Major Qtl

Seed size and shape are important traits determining yield and quality in soybean. However, the genetic mechanism and genes underlying these traits remain largely unexplored. In this regard, this study used two related recombinant inbred line (RIL) populations (ZY and K3N) evaluated in multiple environments to identify main and epistatic-effect quantitative trait loci (QTLs) for six seed size and shape traits in soybean. A total of 88 and 48 QTLs were detected through composite interval mapping (CIM) and mixed-model-based composite interval mapping (MCIM), respectively, and 15 QTLs were common among both methods; two of them were major (R2 > 10%) and novel QTLs (viz., qSW-1-1ZN and qSLT-20-1K3N). Additionally, 51 and 27 QTLs were identified for the first time through CIM and MCIM methods, respectively. Colocalization of QTLs occurred in four major QTL hotspots/clusters, viz., “QTL Hotspot A”, “QTL Hotspot B”, “QTL Hotspot C”, and “QTL Hotspot D” located on Chr06, Chr10, Chr13, and Chr20, respectively. Based on gene annotation, gene ontology (GO) enrichment, and RNA-Seq analysis, 23 genes within four “QTL Hotspots” were predicted as possible candidates, regulating soybean seed size and shape. Network analyses demonstrated that 15 QTLs showed significant additive x environment (AE) effects, and 16 pairs of QTLs showing epistatic effects were also detected. However, except three epistatic QTLs, viz., qSL-13-3ZY, qSL-13-4ZY, and qSW-13-4ZY, all the remaining QTLs depicted no main effects. Hence, the present study is a detailed and comprehensive investigation uncovering the genetic basis of seed size and shape in soybeans. The use of a high-density map identified new genomic regions providing valuable information and could be the primary target for further fine mapping, candidate gene identification, and marker-assisted breeding (MAB).

scholarly journals The Genetic Architecture of Fluctuating Asymmetry of Mandible Size and Shape in a Population of Mice: Another Look

Symmetry ◽  
2015 ◽  
Vol 7 (1) ◽  
pp. 146-163 ◽  
Author(s):  
Larry Leamy ◽  
Christian Klingenberg ◽  
Emma Sherratt ◽  
Jason Wolf ◽  
James Cheverud
Keyword(s):  
Fluctuating Asymmetry ◽  
Genetic Architecture ◽  
Size And Shape ◽  
Mandible Size

scholarly journals Brassinosteroid Regulates Seed Size and Shape in Arabidopsis

2013 ◽  
Vol 162 (4) ◽  
pp. 1965-1977 ◽  
Author(s):  
Wen-Bo Jiang ◽  
Hui-Ya Huang ◽  
Yu-Wei Hu ◽  
Sheng-Wei Zhu ◽  
Zhi-Yong Wang ◽  
...  
Keyword(s):  
Seed Size ◽  
Size And Shape

scholarly journals The role of genus and life span in predicting seed and vegetative trait variation and correlation in Lathyrus, Phaseolus, and Vicia (Fabaceae)

2021 ◽  
Author(s):  
Sterling A. Herron ◽  
Matthew J. Rubin ◽  
Matthew A. Albrecht ◽  
Quinn G. Long ◽  
Marissa C. Sandoval ◽  
...  
Keyword(s):  
Life Span ◽  
Seed Size ◽  
Phenotypic Variation ◽  
Vegetative Growth ◽  
Leaf Growth ◽  
Phenotypic Correlation ◽  
Trait Variation ◽  
Size And Shape ◽  
Correlation Networks ◽  
Vegetative Traits

ABSTRACTPREMISE OF THE STUDYAnnual and perennial life history transitions are abundant among angiosperms, and understanding the phenotypic variation underlying life span shifts is a key endeavor of plant evolutionary biology. Comparative analyses of trait variation and correlation networks among annual and perennial plants is increasingly important as new perennial crops are being developed in a predominately annual-based agricultural setting. However, it remains unclear how seed to vegetative growth trait relationships may correlate with life span.METHODSWe measured 29 annual and perennial congeneric species of three herbaceous legume genera (Lathyrus, Phaseolus, and Vicia) for seed size and shape, germination proportion, and early vegetative height and leaf growth over three months in order to assess relative roles of genus and life span in predicting phenotypic variation and correlation.KEY RESULTSGenus was the greatest predictor of seed size and shape variation, while life span consistently predicted static vegetative growth traits. Correlation networks revealed that annual species had significant associations between seed traits and vegetative traits, while perennials had no significant seed-vegetative associations. Each genus also differed in the extent of integration between seed and vegetative traits, as well as within-vegetative trait correlation patterns.CONCLUSIONSGenus and life span were important for predicting aspects of early life stage phenotypic variation and trait relationships. Differences in phenotypic correlation may indicate selection on seed size traits will impact vegetative growth differently depending on life span, which has important implications for nascent perennial breeding programs.

Mapping Quantitative Trait Loci for Seed Size and Shape Traits in Soybean

2016 ◽  
Vol 42 (9) ◽  
pp. 1309
Author(s):  
Qiang CHEN ◽  
Long YAN ◽  
Ying-Ying DENG ◽  
Er-Ning XIAO ◽  
Bing-Qiang LIU ◽  
...  
Keyword(s):  
Quantitative Trait Loci ◽  
Seed Size ◽  
Quantitative Trait ◽  
Size And Shape ◽  
Trait Loci

The influence of seed size and shape on their removal by water erosion

CATENA ◽  
2002 ◽  
Vol 48 (4) ◽  
pp. 293-301 ◽  
Author(s):  
A. Cerdà ◽  
P. Garcı́a-Fayos
Keyword(s):  
Seed Size ◽  
Water Erosion ◽  
Size And Shape

Seed Size and Shape Predict Persistence in Soil

1993 ◽  
Vol 7 (2) ◽  
pp. 236 ◽  
Author(s):  
K. Thompson ◽  
S. R. Band ◽  
J. G. Hodgson
Keyword(s):  
Seed Size ◽  
Size And Shape
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