scholarly journals Retracted: Screening of candidate genes and fine mapping of drought tolerance quantitative trait loci on chromosome 4 in rice (Oryza sativaL.) under drought stress

2015 ◽  
Vol 5 (21) ◽  
pp. 5007-5015 ◽  
Author(s):  
Yuan-Yuan Nie ◽  
Lin Zhang ◽  
Yun-Hua Wu ◽  
Hao-Jie Liu ◽  
Wei-Wei Mao ◽  
...  
Keyword(s):  
Drought Stress ◽  
Quantitative Trait Loci ◽  
Drought Tolerance ◽  
Candidate Genes ◽  
Fine Mapping ◽  
Quantitative Trait ◽  
Chromosome 4 ◽  
Trait Loci

Isolation of genes/quantitative trait loci for drought stress tolerance in maize.

2021 ◽  
pp. 267-281
Author(s):  
Pardeep Kumar ◽  
Mukesh Choudhary ◽  
B. S. Jat ◽  
M. C. Dagla ◽  
Vishal Singh ◽  
...  
Keyword(s):  
Drought Stress ◽  
Quantitative Trait Loci ◽  
Drought Tolerance ◽  
Stress Tolerance ◽  
Quantitative Trait ◽  
Wild Relatives ◽  
Drought Stress Tolerance ◽  
Expression Studies ◽  
Trait Loci ◽  
Breeding Programmes

Abstract This chapter focuses on target traits for drought stress, progress in mapping for drought tolerance-associated genes/QTLs identification and expression studies and introgression strategies followed by the possibilities of integrating the concept of speed breeding in maize drought breeding programmes for better utilization of wild relatives.

scholarly journals Integration of gene-based markers in a pearl millet genetic map for identification of candidate genes underlying drought tolerance quantitative trait loci

2012 ◽  
Vol 12 (1) ◽  
pp. 9 ◽  
Author(s):  
Deepmala Sehgal ◽  
Vengaldas Rajaram ◽  
Ian Peter Armstead ◽  
Vincent Vadez ◽  
Yash Pal Yadav ◽  
...  
Keyword(s):  
Quantitative Trait Loci ◽  
Drought Tolerance ◽  
Candidate Genes ◽  
Pearl Millet ◽  
Genetic Map ◽  
Quantitative Trait ◽  
Trait Loci ◽  
Gene Based Markers

Fine Mapping of Polymorphic Alcohol-Related Quantitative Trait Loci Candidate Genes Using Interval-Specific Congenic Recombinant Mice

2002 ◽  
Vol 26 (11) ◽  
pp. 1603-1608 ◽  
Author(s):  
Marissa A. Ehringer ◽  
Jessica Thompson ◽  
Otakuye Conroy ◽  
Fan Yang ◽  
Raquel Hink ◽  
...  
Keyword(s):  
Quantitative Trait Loci ◽  
Candidate Genes ◽  
Fine Mapping ◽  
Quantitative Trait ◽  
Trait Loci ◽  
Recombinant Mice

Quantitative Trait Loci and Candidate Gene Identification for Chlorophyll Content in RIL Rice Population under Drought Conditions

2021 ◽  
Vol 3 (2) ◽  
pp. 54
Author(s):  
Yheni Dwiningsih ◽  
Anuj Kumar ◽  
Julie Thomas ◽  
Charlez Ruiz ◽  
Jawaher Alkahtani ◽  
...  
Keyword(s):  
Drought Stress ◽  
Quantitative Trait Loci ◽  
Grain Yield ◽  
Candidate Genes ◽  
Chlorophyll Content ◽  
Quantitative Trait ◽  
Flag Leaf ◽  
Drought Condition ◽  
Ril Population ◽  
Trait Loci

Rice (Oryza sativa) is the staple food for more than half of the world population. Rice needs 2-3 times more water compared to other crops. Drought condition is one of the limited factor in rice production. Recombinant inbred line population derived from a cross between rice genotype tropical japonica Kaybonnet and indica ZHE733 named K/Z RIL population was used to identify candidate genes for chlorophyll content related to grain yield under drought condition. Chlorophyll content in the flag leaf of the rice plant is related to the grain yield since chlorophyll plays an important role in the photosynthesis. The K/Z RIL population was screened in the field at Fayetteville, Arkansas, USA by controlled drought stress treatment at the reproductive stage (R3), and the effect of drought stress was quantify by measuring chlorophyll content, flag leaf characteristics, and grain yield. Quantitative trait loci (QTL) analysis was performed with a set of 4133 single nucleotide polymorphism (SNP) markers by using QTL IciMapping software version 4.2.53. Candidate genes within the QTL regions were identified by using the MSU Rice Genome Annotation Project database release 7.0 as the reference. A total of eleven QTLs and forty-three candidate genes were identified for chlorophyll content related to the grain yield under drought condition. Most of the candidate genes involve in biological processes, molecular functions, and cell components. By understanding the genetic complexity of the chlorophyll content, this research provides information to develop drought-resistant rice varieties with greater productivity under drought stress condition.

scholarly journals Insights into Drought Stress Signaling in Plants and the Molecular Genetic Basis of Cotton Drought Tolerance

Cells ◽  
2019 ◽  
Vol 9 (1) ◽  
pp. 105 ◽  
Author(s):  
Tahir Mahmood ◽  
Shiguftah Khalid ◽  
Muhammad Abdullah ◽  
Zubair Ahmed ◽  
Muhammad Kausar Nawaz Shah ◽  
...  
Keyword(s):  
Drought Stress ◽  
Quantitative Trait Loci ◽  
Drought Tolerance ◽  
Quantitative Trait ◽  
Genetic Basis ◽  
Stomatal Closure ◽  
Stress Signaling ◽  
Functional Genomic ◽  
Ros Scavenging ◽  
Trait Loci

Drought stress restricts plant growth and development by altering metabolic activity and biological functions. However, plants have evolved several cellular and molecular mechanisms to overcome drought stress. Drought tolerance is a multiplex trait involving the activation of signaling mechanisms and differentially expressed molecular responses. Broadly, drought tolerance comprises two steps: stress sensing/signaling and activation of various parallel stress responses (including physiological, molecular, and biochemical mechanisms) in plants. At the cellular level, drought induces oxidative stress by overproduction of reactive oxygen species (ROS), ultimately causing the cell membrane to rupture and stimulating various stress signaling pathways (ROS, mitogen-activated-protein-kinase, Ca2+, and hormone-mediated signaling). Drought-induced transcription factors activation and abscisic acid concentration co-ordinate the stress signaling and responses in cotton. The key responses against drought stress, are root development, stomatal closure, photosynthesis, hormone production, and ROS scavenging. The genetic basis, quantitative trait loci and genes of cotton drought tolerance are presented as examples of genetic resources in plants. Sustainable genetic improvements could be achieved through functional genomic approaches and genome modification techniques such as the CRISPR/Cas9 system aid the characterization of genes, sorted out from stress-related candidate single nucleotide polymorphisms, quantitative trait loci, and genes. Exploration of the genetic basis for superior candidate genes linked to stress physiology can be facilitated by integrated functional genomic approaches. We propose a third-generation sequencing approach coupled with genome-wide studies and functional genomic tools, including a comparative sequenced data (transcriptomics, proteomics, and epigenomic) analysis, which offer a platform to identify and characterize novel genes. This will provide information for better understanding the complex stress cellular biology of plants.

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