scholarly journals Characterization of the genetic factors affecting quinolizidine alkaloid biosynthesis and its response to abiotic stress in narrow‐leafed lupin (Lupinus angustifoliusL.)

2018 ◽  
Vol 41 (9) ◽  
pp. 2155-2168 ◽  
Author(s):  
Karen M. Frick ◽  
Rhonda C. Foley ◽  
Lars G. Kamphuis ◽  
Kadambot H.M. Siddique ◽  
Gagan Garg ◽  
...  
Keyword(s):  
Abiotic Stress ◽  
Genetic Factors ◽  
Alkaloid Biosynthesis ◽  
Factors Affecting ◽  
Quinolizidine Alkaloid

Genetic and Non-Genetic Factors Affecting the Quivering Condition in Mice

1960 ◽  
Vol 94 (879) ◽  
pp. 435-440 ◽  
Author(s):  
Chai Hyun Yoon
Keyword(s):  
Genetic Factors ◽  
Factors Affecting

Genome wide identification and characterization of abiotic stress responsive lncRNAs in Capsicum annuum

2021 ◽  
Author(s):  
Pooja Moni Baruah ◽  
Debasish B. Krishnatreya ◽  
Kuntala Sarma Bordoloi ◽  
Sarvajeet Singh Gill ◽  
Niraj Agarwala
Keyword(s):  
Abiotic Stress ◽  
Capsicum Annuum ◽  
Genome Wide ◽  
Identification And Characterization

scholarly journals Identification and Characterization of Abiotic Stress Responsive CBL-CIPK Family Genes in Medicago

2021 ◽  
Vol 22 (9) ◽  
pp. 4634
Author(s):  
Wenxuan Du ◽  
Junfeng Yang ◽  
Lin Ma ◽  
Qian Su ◽  
Yongzhen Pang
Keyword(s):  
Abiotic Stress ◽  
Abiotic Stresses ◽  
Expression Patterns ◽  
Interacting Protein ◽  
Forage Crop ◽  
Cis Acting ◽  
Protein Motifs ◽  
Plant Signal Transduction ◽  
Identification And Characterization

The calcineurin B-like protein (CBL) and CBL-interacting protein kinase (CIPK) play important roles in plant signal transduction and response to abiotic stress. Plants of Medicago genus contain many important forages, and their growth is often affected by a variety of abiotic stresses. However, studies on the CBL and CIPK family member and their function are rare in Medicago. In this study, a total of 23 CBL and 58 CIPK genes were identified from the genome of Medicago sativa as an important forage crop, and Medicaog truncatula as the model plant. Phylogenetic analysis suggested that these CBL and CIPK genes could be classified into five and seven groups, respectively. Moreover, these genes/proteins showed diverse exon-intron organizations, architectures of conserved protein motifs. Many stress-related cis-acting elements were found in their promoter region. In addition, transcriptional analyses showed that these CBL and CIPK genes exhibited distinct expression patterns in various tissues, and in response to drought, salt, and abscisic acid treatments. In particular, the expression levels of MtCIPK2 (MsCIPK3), MtCIPK17 (MsCIPK11), and MtCIPK18 (MsCIPK12) were significantly increased under PEG, NaCl, and ABA treatments. Collectively, our study suggested that CBL and CIPK genes play crucial roles in response to various abiotic stresses in Medicago.

scholarly journals Genetic predictors of participation in optional components of UK Biobank

2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Jessica Tyrrell ◽  
Jie Zheng ◽  
Robin Beaumont ◽  
Kathryn Hinton ◽  
Tom G. Richardson ◽  
...  
Keyword(s):  
Sensitivity Analysis ◽  
Genetic Variants ◽  
Genetic Factors ◽  
Mendelian Randomization ◽  
Genetic Correlations ◽  
Mr Studies ◽  
Uk Biobank ◽  
Factors Affecting ◽  
Participation Bias ◽  
Genetic Predictors

AbstractLarge studies such as UK Biobank are increasingly used for GWAS and Mendelian randomization (MR) studies. However, selection into and dropout from studies may bias genetic and phenotypic associations. We examine genetic factors affecting participation in four optional components in up to 451,306 UK Biobank participants. We used GWAS to identify genetic variants associated with participation, MR to estimate effects of phenotypes on participation, and genetic correlations to compare participation bias across different studies. 32 variants were associated with participation in one of the optional components (P < 6 × 10−9), including loci with links to intelligence and Alzheimer’s disease. Genetic correlations demonstrated that participation bias was common across studies. MR showed that longer educational duration, older menarche and taller stature increased participation, whilst higher levels of adiposity, dyslipidaemia, neuroticism, Alzheimer’s and schizophrenia reduced participation. Our effect estimates can be used for sensitivity analysis to account for selective participation biases in genetic or non-genetic analyses.

Characterization of Soybean Storage and Allergen Proteins Affected by Environmental and Genetic Factors

2016 ◽  
Vol 64 (6) ◽  
pp. 1433-1445 ◽  
Author(s):  
Savithiry Natarajan ◽  
Farooq Khan ◽  
Qijian Song ◽  
Sukla Lakshman ◽  
Perry Cregan ◽  
...  
Keyword(s):  
Genetic Factors

Characterization of PyMAPK2, a D group mitogen-activated protein kinase gene from Pyropia yezoensis responding to various abiotic stress

2021 ◽  
Vol 59 ◽  
pp. 102445
Author(s):  
Fanna Kong ◽  
Daoying Dong ◽  
Na Li ◽  
Bin Sun ◽  
Meijuan Sun
Keyword(s):  
Abiotic Stress ◽  
Protein Kinase ◽  
Pyropia Yezoensis ◽  
Mitogen Activated Protein Kinase ◽  
Kinase Gene ◽  
Mitogen Activated Protein ◽  
Protein Kinase Gene

Genetic factors affecting intelligence: Symposium

1954 ◽  
Vol 1 (1) ◽  
pp. 44-52 ◽  
Author(s):  
S. C. Reed ◽  
W. Reed ◽  
J. D. Palm
Keyword(s):  
Genetic Factors ◽  
Factors Affecting
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