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Trihybrid Crosses

Trihybrid Crosses

Trihybrid Crosses
Some of Mendel’s crosses examined three pairs of contrasting characteristics. Such a cross is called a trihybrid cross. A trihybrid cross is a combination of three individual monohybrid crosses. For example, plant height (tall vs. short), seed shape (round vs. wrinkled), and seed color (yellow vs. green).
The F1 generation plants of a trihybrid cross are heterozygous for all three traits and produce eight gametes. Upon self-fertilization, these gametes have an equal...

Dihybrid Crosses

Dihybrid Crosses

Law of Independent Assortment

Law of Independent Assortment

While Mendel’s Law of Segregation states that the two alleles for one gene are separated into different gametes, a different question of how different genes are inherited remains. For example, is the gene for tall plants inherited with the gene for green peas? Mendel asked this question by experimenting with a dihybrid cross; a cross in which both parents are homozygous for two distinct traits resulting in an F1 generation that are heterozygous for both traits.

Formation of Species

Formation of Species

Speciation describes the formation of one or more new species from one or sometimes multiple original species. The resulting species are discrete from the parent species, and barriers to reproduction will typically exist. There are two primary mechanisms, speciation with and without geographic isolation—allopatric and sympatric speciation, respectively.

Incomplete Dominance

Incomplete Dominance

Gregor Mendel's work (1822 - 1884) was primarily focused on pea plants. Through his initial experiments, he determined that every gene in a diploid cell has two variants called alleles inherited from each parent. He suggested that amongst these two alleles, one allele is dominant in character and the other recessive. The combination of alleles determines the phenotype of a gene in an organism.

Chi-square Analysis

Chi-square Analysis

The chi-square test is a statistical hypothesis test. It is used to check whether there is a significant difference between an expected value and an observed value. In the context of genetics, it enables us to either accept or reject a hypothesis, based on how much the observed values deviate from the expected values.
The chi-square test was developed by Pearson in 1990.
The first step of performing a Chi-square analysis is to establish a null hypothesis, which assumes that there is no real...

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A Simple Protocol for Mapping the Plant Root System Architecture Traits

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RFLP variation in diploid and tetraploid alfalfa.

E C Brummer¹, G Kochert, J H Bouton

¹Department of Agronomy, University of Georgia, 30602, Athens, GA, USA.

TAG. Theoretical and Applied Genetics. Theoretische Und Angewandte Genetik

|November 9, 2013

Summary

Restriction fragment length polymorphism (RFLP) analysis reveals significant genetic variation within and between alfalfa (Medicago sativa L.) populations. This variability is sufficient for developing RFLP maps and differentiating cultivars, aiding future crop improvement.

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Published on: December 19, 2014

Area of Science:

Plant genetics
Molecular biology
Agricultural science

Background:

Alfalfa (Medicago sativa L.) is a vital global forage crop.
Continued breeding is necessary to enhance traits like pest resistance.
Understanding genetic diversity is crucial for effective alfalfa improvement.

Purpose of the Study:

To quantify restriction fragment length polymorphism (RFLP) variability in diploid and tetraploid alfalfa.
To assess the suitability of this variability for constructing an RFLP map.
To explore the potential for differentiating alfalfa cultivars using RFLP.

Main Methods:

Analysis of DNA from diploid subspecies (M. sativa ssp. falcata, ssp. coerulea, ssp. sativa) and tetraploid cultivars (Apollo, Florida 77, Spredor 2).
Use of 19 cDNA clones as probes on Southern blots with EcoRI, HindIII, and BamHI restriction enzymes.
Phylogenetic analysis based on parsimony of shared restriction fragments.

Main Results:

Extensive gene duplication was observed, with complex restriction fragment patterns.
Significant genetic variation was found within all diploid alfalfa subspecies.
Distinct clustering of M. sativa ssp. falcata was observed, though some individuals showed overlap.
Tetraploid cultivars displayed varying degrees of similarity, with Apollo and Florida 77 being more alike than Spredor 2.
High within-population variation was noted across all tetraploid cultivars, with Apollo being the most diverse.

Conclusions:

RFLP analysis indicates sufficient genetic variability for developing an RFLP map at the diploid level in alfalfa.
RFLP patterns can differentiate between alfalfa cultivars, especially those with divergent origins.
This genetic insight supports targeted breeding strategies for alfalfa improvement.