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Related Concept Videos

Genome-wide Association Studies-GWAS01:11

Genome-wide Association Studies-GWAS

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Genome-wide association studies or GWAS are used to identify whether common SNPs are associated with certain diseases. Suppose specific SNPs are more frequently observed in individuals with a particular disease than those without the disease. In that case, those SNPs are said to be associated with the disease. Chi-square analysis is performed to check the probability of the allele likely to be associated with the disease.
GWAS does not require the identification of the target gene involved in...
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Background and Environment Affect Phenotype02:27

Background and Environment Affect Phenotype

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Although the genetic makeup of an organism plays a major role in determining the phenotype, there are also several environmental factors, such as temperature, oxygen availability, presence of mutagens, that can alter an organism’s phenotype.
An example of how genetic background affects phenotype can be seen in horses. The Extension gene in horses is responsible for their coat color. A wild-type gene (EE) produces black pigment in the coat, while a mutant gene (ee) produces red pigment. A...
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Complementation Tests00:49

Complementation Tests

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A complementation test is a simple cross to identify whether the two mutations are located on the same gene or different genes. It was first performed by Edward Lewis in the 1940s while working on fruit flies. He developed the test to identify the location and arrangement of different mutations on chromosomes.
Organisms heterozygous for different mutations are crossed pairwise in all combinations. If present on different genes, the mutations can complement each other by providing the missing...
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Polygenic Traits01:18

Polygenic Traits

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When more than one gene is responsible for a given phenotype, the trait is considered polygenic. Human height is a polygenic trait. Studies have uncovered hundreds of loci that influence height, and there are believed to be many more. Due to the high number of genes involved, as well as environmental and nutritional factors, height varies significantly within a given population. The distribution of height forms a bell-shaped curve, with relatively few individuals in the population at the...
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Sperm Structure and Semen Composition01:22

Sperm Structure and Semen Composition

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During ejaculation, males release around 2-5 milliliters of semen, which is a complex mixture of mature sperm and various fluids produced by accessory glands. The mature sperm cells measure approximately 60 micrometers in length and consist of a head, neck, midpiece, and tail. The head is flattened and tapered, measuring about 4 to 5 micrometers in length. It contains a nucleus with condensed chromosomes and an acrosome, a cap-like structure filled with enzymes essential for penetrating the...
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Testing a Claim about Mean: Known Population SD01:11

Testing a Claim about Mean: Known Population SD

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A complete procedure of testing the hypothesis about a population mean is explained here.
Estimating a population mean requires the samples to be distributed normally. The data should be collected from the randomly selected samples having no sampling bias. The sample size needed to be higher than 30, and most importantly, the population standard deviation should be already known.
In most realistic situations, the population standard deviation is often unknown, but in rare circumstances, when it...
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Related Experiment Video

Updated: Jul 16, 2025

Avian Semen Collection by Cloacal Massage and Isolation of DNA from Sperm
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Avian Semen Collection by Cloacal Massage and Isolation of DNA from Sperm

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Genome-wide association study identifies variants associated with semen volume in white-feathered broilers.

G M Zhang1, P H Liu1, L Chen2

  • 1State Key Laboratory of Animal Nutrition, Key Laboratory of Animal (Poultry) Genetics Breeding and Reproduction, Ministry of Agriculture, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing, China.

Animal Genetics
|September 14, 2023
PubMed
Summary
This summary is machine-generated.

Researchers identified key genes linked to rooster semen volume in white-feathered broilers. This study enhances understanding of male reproductive traits for improved broiler breeding programs.

Keywords:
GWASsemen volumewhite-feathered broiler

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Screening for Functional Non-coding Genetic Variants Using Electrophoretic Mobility Shift Assay EMSA and DNA-affinity Precipitation Assay DAPA
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Area of Science:

  • Animal Genetics
  • Poultry Breeding
  • Reproductive Biology

Background:

  • Rooster semen quality is crucial for broiler reproductive efficiency and economic returns.
  • Previous research has largely overlooked rooster reproductive traits, focusing more on hens.
  • Identifying genetic factors influencing rooster semen traits is essential for targeted breeding.

Purpose of the Study:

  • To identify genes associated with semen volume in white-feathered broilers.
  • To provide a genetic basis for marker-assisted selection of semen volume.
  • To advance the understanding of male reproductive genetics in poultry.

Main Methods:

  • Genotyping 220 white-feathered broilers using a 55K SNP chip.
  • Imputing SNP data with resequencing data from 97 roosters.
  • Performing genome-wide association analysis (GWAS) on semen volume using over 1 million SNPs.

Main Results:

  • Identified 197 significant genome-wide markers associated with semen volume.
  • Localized these markers to a specific interval (13.82–16.12 Mb) on chromosome 7.
  • Pinpointed four candidate genes (FAPP1, OSBPL6, SESTD1, SSFA2) potentially influencing semen volume.

Conclusions:

  • The identified genes provide a foundation for understanding the genetic architecture of rooster semen volume.
  • These findings support the potential for marker-assisted selection to improve semen volume in broilers.
  • Further research into these candidate genes can refine breeding strategies for enhanced poultry reproduction.