Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Responses to Drought and Flooding02:41

Responses to Drought and Flooding

10.7K
Water plays a significant role in the life cycle of plants. However, insufficient or excess of water can be detrimental and pose a serious threat to plants.
10.7K
Responses to Salt Stress02:02

Responses to Salt Stress

13.1K
Salt stress—which can be triggered by high salt concentrations in a plant’s environment—can significantly affect plant growth and crop production by influencing photosynthesis and the absorption of water and nutrients.
13.1K
Adaptations that Reduce Water Loss01:57

Adaptations that Reduce Water Loss

25.6K
Though evaporation from plant leaves drives transpiration, it also results in loss of water. Because water is critical for photosynthetic reactions and other cellular processes, evolutionary pressures on plants in different environments have driven the acquisition of adaptations that reduce water loss.
25.6K
Light Acquisition02:16

Light Acquisition

8.5K
In order to produce glucose, plants need to capture sufficient light energy. Many modern plants have evolved leaves specialized for light acquisition. Leaves can be only millimeters in width or tens of meters wide, depending on the environment. Due to competition for sunlight, evolution has driven the evolution of increasingly larger leaves and taller plants, to avoid shading by their neighbors with contaminant elaboration of root architecture and mechanisms to transport water and nutrients.
8.5K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Genome-Wide Meta-QTL Analysis and InDel Markers for Salt Tolerance in Rice: Bridging the Gap from Genomics to Breeding.

Rice (New York, N.Y.)·2026
Same author

DNA/RNA hybrid profiling in autistic patients: A focus on mRNA and non-coding RNA variations.

PloS one·2025
Same author

Developing resistance to Fusarium wilt in chickpea: From identifying meta-QTLs to molecular breeding.

The plant genome·2025
Same author

The transcriptional response to yellow and wilt disease, caused by race 6 of Fusarium oxysporum f. sp. Ciceris in two contrasting chickpea cultivars.

BMC genomics·2025
Same author

Unraveling the genetic basis of quantitative resistance to diseases in tomato: a meta-QTL analysis and mining of transcript profiles.

Plant cell reports·2024
Same author

Genetic Prognostic Factors in Adult Diffuse Gliomas: A 10-Year Experience at a Single Institution.

Cancers·2024

Related Experiment Video

Updated: Jul 5, 2025

Imaging and Analysis for Quantifying Maize (Zea mays) Abiotic Stress Phenotypes
06:41

Imaging and Analysis for Quantifying Maize (Zea mays) Abiotic Stress Phenotypes

Published on: March 28, 2025

820

Uncovering the Genomic Regions Associated with Yield Maintenance in Rice Under Drought Stress Using an Integrated

Parisa Daryani1, Nazanin Amirbakhtiar2, Jahad Soorni1

  • 1Department of Systems Biology, Agricultural Biotechnology Research Institute of Iran (ABRII), Agricultural Research, Education and Extension Organization (AREEO), Karaj, Iran.

Rice (New York, N.Y.)
|January 16, 2024
PubMed
Summary

This study identified 213 stable Meta-QTLs (MQTLs) for rice drought tolerance and yield traits. These findings aid breeders in developing improved rice varieties for water-deficit conditions.

Keywords:
Breeding MQTLsDrought toleranceDrought-responsive genesGenome-wide association studiesMeta-analysis of QTLsOryza sativa

More Related Videos

A Telemetric, Gravimetric Platform for Real-Time Physiological Phenotyping of Plant–Environment Interactions
15:30

A Telemetric, Gravimetric Platform for Real-Time Physiological Phenotyping of Plant–Environment Interactions

Published on: August 5, 2020

11.6K
Kinematic Analysis of Cell Division and Expansion: Quantifying the Cellular Basis of Growth and Sampling Developmental Zones in Zea mays Leaves
08:31

Kinematic Analysis of Cell Division and Expansion: Quantifying the Cellular Basis of Growth and Sampling Developmental Zones in Zea mays Leaves

Published on: December 2, 2016

10.9K

Related Experiment Videos

Last Updated: Jul 5, 2025

Imaging and Analysis for Quantifying Maize (Zea mays) Abiotic Stress Phenotypes
06:41

Imaging and Analysis for Quantifying Maize (Zea mays) Abiotic Stress Phenotypes

Published on: March 28, 2025

820
A Telemetric, Gravimetric Platform for Real-Time Physiological Phenotyping of Plant–Environment Interactions
15:30

A Telemetric, Gravimetric Platform for Real-Time Physiological Phenotyping of Plant–Environment Interactions

Published on: August 5, 2020

11.6K
Kinematic Analysis of Cell Division and Expansion: Quantifying the Cellular Basis of Growth and Sampling Developmental Zones in Zea mays Leaves
08:31

Kinematic Analysis of Cell Division and Expansion: Quantifying the Cellular Basis of Growth and Sampling Developmental Zones in Zea mays Leaves

Published on: December 2, 2016

10.9K

Area of Science:

  • Plant Genetics and Breeding
  • Agronomy and Crop Science
  • Genomics and Bioinformatics

Background:

  • Rice yield is a complex trait influenced by multiple quantitative trait loci (QTLs).
  • Developing rice varieties for non-flooded, water-deficit conditions is crucial due to global water scarcity.
  • Meta-QTL (MQTL) analysis is a powerful approach for dissecting complex traits like yield and drought tolerance.

Purpose of the Study:

  • To conduct a comprehensive MQTL analysis to identify consistent QTL regions associated with drought tolerance and yield in rice under water deficit.
  • To identify novel candidate genes for improving rice yield and drought tolerance.
  • To identify "Breeding MQTLs" for practical application in rice breeding programs.

Main Methods:

  • Compiled and analyzed 1087 QTLs from 134 rice populations published between 2000 and 2021.
  • Performed distinct MQTL analysis for relevant traits, identifying stable MQTLs with reduced confidence intervals (CIs).
  • Integrated MQTL results with genome-wide association study (GWAS) SNP peak positions to identify candidate genes.
  • Conducted an inclusive MQTL analysis to identify "Breeding MQTLs" based on specific criteria (e.g., number of initial QTLs, CI, phenotypic variance explained).

Main Results:

  • Identified 213 stable MQTLs, with an average CI 2.74 times narrower than initial QTLs.
  • Found 63 MQTLs overlapping with GWAS SNP peaks for yield and drought tolerance traits.
  • Introduced 19 novel candidate genes associated with drought response, plant height, panicle number, biomass, and grain yield.
  • Identified 96 inclusive MQTLs and designated 13 as "Breeding MQTLs" with significantly reduced CIs (average 4.66 times less than original QTLs).

Conclusions:

  • The study successfully identified stable MQTLs and novel candidate genes for enhancing rice yield under drought stress.
  • The identified "Breeding MQTLs" provide valuable genetic resources for accelerating the development of drought-tolerant rice varieties.
  • This research offers a promising strategy for breeders to improve rice cultivation in water-limited environments.