Unlocking Genetic Secrets

How Gene Variations Shape Reproductive Success in Kele Pigs

Genetic Analysis Swine Reproduction Molecular Breeding

The Kele Pig: A Prized Breed in Need of Genetic Enhancement

In the high-altitude mountainous regions of China's Yunnan-Guizhou Plateau, ranging from 1,700 to 2,400 meters above sea level, roams a special pig breed known for its exceptional meat quality—the Kele pig.

Pigs in natural environment
Premium Quality

Prized for their strong water retention, juicy muscle, and excellent meat color, these animals provide the premium raw material for the famous Xuanwei ham 3 9 .

Reproductive Challenge

Despite superior meat qualities, Kele pigs face significant challenges with poor reproductive performance characterized by low litter sizes and inadequate teat numbers 3 .

The Genetic Players: PAEP, KRT10, and BMP7 Genes

PAEP The Pregnancy Protein

The progestogen-associated endometrial protein (PAEP) gene encodes a secretory protein typically expressed in the reproductive tract. Previously studied extensively in cattle reproduction, PAEP acts as an anti-tumor growth factor and plays important roles in reproductive system diseases 3 .

KRT10 Beyond Skin Deep

Keratin 10 (KRT10), primarily known as a structural protein in the epidermis, has relevance extending far beyond skin health. Studies show KRT10 expression increases when the vaginal epithelium transforms into a glycogen-rich squamous epithelium under estrogen influence 3 .

BMP7 The Multitasking Morphogen

Bone morphogenetic protein 7 (BMP7) belongs to the transforming growth factor-beta superfamily and plays crucial roles in bone development and homeostasis. BMP7 is expressed in ovaries, uterus, and mammary glands of livestock and may be essential for normal folliculogenesis and ovulation 3 .

The Scientific Quest: Linking Genes to Reproductive Outcomes

Experimental Design

Scientists selected 255 multiparous Kele sows (2-4 parities) from a breeding farm in Hezhang County, Guizhou Province 3 . All animals were healthy, disease-free, and raised under identical conditions to minimize environmental influences.

The team measured five key reproductive traits during the first parity to provide a comprehensive picture of reproductive performance from birth through weaning at 28 days 3 .

Genetic Analysis Approach

Using specialized primers, researchers amplified specific regions of PAEP, KRT10, and BMP7 through polymerase chain reaction (PCR) 3 . They identified single nucleotide polymorphisms by comparing DNA sequences.

The research team employed a suite of bioinformatics tools to understand the functional implications of these genetic variations 3 .

Research Toolkit

Reagent/Method Function in Research Application in This Study
PCR amplification system Amplifies specific DNA segments Copying target gene regions for analysis
DNA extraction kits Isolate genetic material from tissues Obtaining DNA from ear tissue samples
Sequence alignment software Identifies variations in DNA sequences Detecting single nucleotide polymorphisms
Bioinformatics tools (RNAfold, SOPMA) Predicts effects of genetic variations Analyzing structural changes in mRNA and proteins
Statistical analysis software Determines significance of associations Linking genetic variations to reproductive traits

Revealing Connections: How Genetic Variations Influence Reproduction

Through detailed analysis, researchers discovered nine significant single nucleotide polymorphisms across the three target genes: three in PAEP, three in KRT10, and three in BMP7 1 . Most variations occurred in non-coding regions (introns), yet still demonstrated significant effects on reproductive traits 3 .

Favorable Genotypes Identified

Gene SNP Location Favorable Genotype Traits Improved
PAEP g.1885125 G>C CC Total born, born alive, number weaned, litter weight weaned
PAEP g.1885158 G>A AA Total born, born alive, number weaned, litter weight weaned
KRT10 g.21643741 G>A GG Total born, born alive, number weaned, litter weight weaned
BMP7 g.57647887 G>A GA Number of piglets born alive
BMP7 g.57647990 C>T CT Number of piglets born alive
BMP7 g.57648145 C>G GG Litter birth weight
Diplotype Analysis

The power of genetic variations became even more apparent when researchers examined combinations of these variations. Diplotype analysis revealed that specific combinations worked together to influence reproductive outcomes 3 .

  • The H3H3 diplotype (CCGGGG) in PAEP significantly affected all five reproductive traits 3
  • The H3H3 (CCGGAA) in KRT10 significantly affected all five reproductive traits 3
  • For BMP7, the H4H4 (AATTGG) diplotype showed significant influence on all traits except litter birth weight 3
Reproductive Traits Measured
Trait Description Importance
Total born Complete litter size at birth Measures overall reproductive potential
Born alive Live births per litter Indicates reproductive efficiency
Litter birth weight Total weight of litter at birth Reflects piglet vitality
Number weaned Piglets surviving to weaning Measures maternal care
Litter weight weaned Total weight at weaning Indicates milk production

Implications and Future Directions: Transforming Pig Breeding

This groundbreaking research on PAEP, KRT10, and BMP7 genes represents a significant step toward precision breeding for Kele pigs. By identifying specific genetic variations associated with superior reproductive performance, the study provides valuable molecular markers that can guide selection decisions 3 .

The ability to select breeding animals based on their genetic profile rather than solely on physical characteristics allows for more accurate and efficient genetic improvement, especially for traits like reproduction that are difficult to enhance through traditional methods 6 .

Molecular Markers

Enable targeted selection for improved reproductive traits

Precision Breeding

More accurate genetic improvement for low-heritability traits

Conservation

Helps preserve genetic diversity while improving productivity

Future Research Directions
  • Exploring additional genes involved in swine reproduction
  • Investigating gene-environment interactions
  • Validating markers across different populations
  • Integrating molecular tools into conservation programs

References