eChapters

Introduction

Today, antimicrobial resistance (AMR) has become a global issue, contributing to rise in mortality and cost of treatment. Antimicrobial resistance (AMR) is the resistance of a microorganism against an antimicrobial agent to which it was originally sensitive (WHO, 2013). Dispersion of antibiotics is done at large scale, in India even sometimes without any proper prescription. Animal Husbandry is not untouched and antibiotics are used to a great extent, which needs enforcement of strict government rules and regulations for their use in f ield conditions (PHFI, 2011).

Extended-spectrum β-lactamases (ESBLs) are enzymes that hydrolyse most of the β-lactam antibiotics and thus mediate resistance to penicillins, 3rd and 4th generation cephalosporins (Saravanan et al., 2018). Beta-lactamase inhibitors, inhibit these ESBLs such as clavulanic acid, sulbactam and tazobactam (Trott, 2013). The genes encoding for these enzymes are commonly found both on the chromosomes and plasmids among Enterobacteriaceae family (Kotsoana et al., 2019).

Among Enterobacteriacae, E. coli and Klebsiella species are main environmental pathogens associated with various illnesses such as acute bovine mastitis (Koovapra, 2015), pathogenic E. coli with diarrhoea and extra intestinal infections in humans and animals (Levine et al., 1987), K. pneumoniae with respiratory and urinary tract as well as bloodstream infections (Daehre et al., 2018). Resistance to extended-spectrum β-lactams occurs mainly in members of Enterobacteriaceae family through plasmids encoded ESBL genes. (Sharma et al., 2010).

Haemoprotozoan parasites are responsible for causing severe infections in humans as well as animals across the world. The important hemoprotozoan diseases of livestock are trypanosomosis, theileriosis, babesiosis, and
anaplasmosis, which are caused by several species of Trypanosoma, Theileria, Babesia, and Anaplasma, respectively, in several species of livestock. These diseases caused huge impact on health and productivity of livestock as well as human beings and causes great economic losses to the livestock production n terms of morbidity and mortality worldwide. In India, the annual economic loss has been esteemed in the livestock due to theileriosis, babesiosis and trypanosomosis of Rs 8426 crore, Rs 4000 crore and Rs 4474 core, respectively. The major clinical signs of the haemoprotozoan disease varies from fever, anorexia, anaemia, abortion, and even death in the acute form of infections. The symptomatological treatment is a quite common practice in the field condition to treat the animals suspected with haemoprotozon infection leading to the development of resistance in animals to currently available drugs against haemoprotozoans. The accurate and prompt diagnosis of haemoprotozoan infection is a key to control these diseases. Routine diagnosis of haemoprotozoan infection has been rely on clinical findings and microscopical demonstration of the infective parasitic stages in the blood or tissue fluid smear. Conventional diagnostic techniques such as Microscopical examination techniques and Immunological assay provide the definite clues about parasitic infections in general, but these tests have some limitations.

A.    Answer the following.

Q.1.     What are the cytokines involved in innate immunity ?
Ans.     IL-1, IL-12, IL-6, IFN-a, IFN-b and TNF- a.

Q.2.     What are the cytokines involved in adaptive immunity?
Ans.    IL-2, IL-4, IL-5, IFN-g and transforming growth factor – b (TGF- b).

Q.3.     How does superantigen differ from conventional 
antigen?
Ans.     Superantigens bind to class II MHC molecules outside of the normal peptide binding cleft. Unlike normal antigens, they are not internalized and processed by antigen presenting cells but binds directly to class II molecules. A particular superantigen can activate 5-25% 

Cytokines are the short lived chemical messenger molecules, released by a group of cells which can modulate the functions of the same cell(by which they are produced) or other cells.

Cytokines are the chemical messengers that are involved in interactions between the cells of innate and adaptive immune responses. They are secreted by leukocytes and many other cells in the body. They are low molecular weight proteins or glycoproteins which are produced in response to various kinds of stimuli. Cytokines have important role in immune and inflammatory responses.  Their functions are not limited to immune system only.They also stimulate the development of hematopoietic cells and also act as therapeutic agents.

Reliable artificial intelligence depends on accurate, timely and multidimensional livestock data. This chapter examines the transition from manual record-keeping to sensor-based systems that capture physiological, behavioural, production and environmental information. Data sources include wearable devices, IoT monitoring networks, computer-vision systems and environmental sensors. Their applications include monitoring health, welfare, movement, feeding and productivity. The chapter also considers the integration of heterogeneous datasets and persistent challenges involving missing values, noise, interoperability, scalability and system reliability. By connecting data generation with intelligent analysis, it emphasizes that robust acquisition protocols and dependable infrastructure are essential for developing effective, evidence-based and responsive livestock-management systems.

Livestock farms generate large quantities of physiological, environmental, behavioural and production data through sensors, IoT devices and management records. Raw information must be processed before it can support dependable analysis. This chapter explains data cleaning, missing-value treatment, noise reduction, anomaly detection, integration, normalization, transformation and dimensionality reduction. It also discusses feature extraction, categorical encoding, variable transformation and temporal-feature analysis. Machine learning, AutoML, Python, R and other analytical platforms are introduced as tools for preparing livestock datasets. Applications include disease prediction, yield improvement and movement monitoring. The chapter concludes by examining scalability, data quality, privacy and ethical challenges in intelligent livestock analytics.

Traditional livestock diagnosis is often reactive and may identify disease only after clinical symptoms become visible. This chapter introduces deep-learning methods for automated health monitoring, early disease detection and predictive analytics. Models analyse images, videos, body temperature, heart rate, activity patterns and historical health information. Convolutional neural networks extract visual features and classify diseases, while LSTM networks identify patterns in time-dependent physiological and behavioural data. Multimodal fusion improves the reliability of predictions by integrating different data sources. IoT-connected systems can generate real-time warnings and support timely intervention. The chapter compares deep learning with conventional approaches and evaluates accuracy, recall, false-negative rates and practical deployment.

A. Answer the following.

Q.1.    What is nude mouse ?
Ans.     Nude mice are strain of hairless  mice that fail to develop functional thymus and  devoid of CMI.

B.  Write true or false.

Q.1.     Individuals who fail to develop a functional T cell system will die from viral infections.
Ans.    True.

Q.2.    Individuals who fail to develop a functional B cell system will die from bacterial  infections.
Ans.    True.

Dermatophylaceae is a group of bacteria with mycelial filaments which divide transversely and in at least two longitudinal planes to form masses of coccoid or cuboidal cells, which characteristically become motile. They are gram positive, non acid fast, aerobic and produce aerial mycelium when their growths are stimulated by 10% CO2. Dermatophilus congolensis, Dermatophilus  dermatonomus and Dermatophilus pedis are the pathogens causing variety of skin lesions in mammals, including man. Dermatophilus congolensis causes very severe clinical disease and its infection is most common in tropical and subtropical regions.
Diseases caused by Dermatophilus species
Dermatophilus congolensis mainly affects Cattle, horses, sheep and goats, but many animal species and man can be infected.The disease has many names;
Cattle : Streptothricosis or Dermatophilosis
Horse : Skin Funk (Rain Rot, Rain Scald, Dew Poisoning), Grease heal
Sheep: Mycotic dermatitis (general infection), lumpy wool (wool- covered skin) and strawberry foot rot (skin of lower leg and coronet
Natural Habitat
Dermatophilus congolensis is the only species in the genus is thought to maintain itself in small foci of infection on a carrier animal or within scab particles in dust. It can survive in scab material for period’s upto 3 years.
History
Bovine disease was first described by Van Saceghem in 1915 in the Congo now known as Zaire in Africa.

Introduction

Flowering plants (Angiosperms) are identified by their morphological characteristics like flower, fruit and seeds that help their taxonomic characterization into different species, genera, families and orders. The floral characters which are used for taxonomic characterization of plants include the type of inflorescences, perianth structure, floral symmetry, arrangement of floral leaves, type of androecium, stamens, gynoecium, carpel, ovule, etc. The type of fruit and seed also play important roles in taxonomic classification. In this chapter we will briefly discuss about various morphological features of flowering plants (in botanical terms) that are useful in taxonomy.

Nomenclature of Plant

Nomenclature of plant is the formal and scientific naming of plants. It is related to but distinct from taxonomy for grouping and classifying plants and provide botanical name.

The scientific/botanical nomenclature started with Species Plantarum by Carolus Linnaeus in 1753. Botanical nomenclature is governed by the International Code of Nomenclature for algae, fungi, and plants (ICN), which replaces the International Code of Botanical Nomenclature (ICBN).

ICBN and ICN

International Code of Botanical Nomenclature, (ICBN) was adopted by the VIIth International Botanical Congress held in Stockholm, July1950. While the International Code of Nomenclature for algae, fungi, and plants (ICN) was adopted by the XVIIIth International Botanical Congress held in Melbourne, Australia in July 2011.

Collection of faecal samples: To diagnose gastro-intestinal parasites of ruminants or other animals, the parasites or their eggs/larvae must be recovered from the digestive tract of animal or human or from the faecal/stool material.
 
The faecal samples for parasitological examination should be collected from the rectum of animals. If rectum samples cannot be obtained, fresh faecal samples may be collected from the pastures. Several samples should be collected and immediately dispatched to the diagnostic laboratory in suitable containers such as:

Diagnostic biomarkers are measurable biological molecules that provide information about physiological or pathological conditions. This chapter examines the use of metabolomics for discovering, evaluating, and validating biomarkers for disease diagnosis, prognosis, therapeutic monitoring, and personalized medicine. It discusses different types of biomarkers, metabolomic biomarkers, biological samples, analytical platforms, biomarker-discovery workflows, and statistical analysis. Applications in cancer, diabetes, cardiovascular, liver, kidney, neurological, infectious, and metabolic diseases are considered. The chapter also explains the role of metabolomics in drug discovery, toxicology, nutrition, and clinical research. Challenges involving biological variability, analytical reproducibility, data complexity, and clinical validation are addressed alongside future opportunities involving AI and multi-omics.

Many non-spore-forming, anaerobic, Gram-negative bacteria cause opportunistic mixed infections, often in association with facultative anaerobes. Synergistic interactions between the organisms in these mixed infections are common. Fusobacterium species and bacteria formerly referred to as Bacteroides species account for more than 50%of the anaerobic organisms isolated from these infections.
Usual Habitat
Nan-spore-forming, Gram-negative anaerobes are often found on muwus membranes, particularly in the digestive tract, of animals and man. They are excreted in the faeces and they can survive for short periods in the environment. Dichelobacter nodosus, a primary pathogen of the epidermal tissues of the hoof region of ruminants, survives for less than 4 days in mud. Diagnostic Procedures
In order to ensure that isolates of anaerobes are aetiologically significant, specimens for isolation procedures should be obtained by direct sampling from discharges or lesions and by supra pubic puncture in urinary infections. Specimens should be processed promptly after collection. Commercial kits and transport media are available for specimens from suspected anaerobic infections. In the core of a tissue specimen over 2-3 cm, an anaerobic microenvironment is usually maintained. Samples of fluid in a syringe remain suitable for anaerobic culture if air is expelled from the syringe and the needle
is plugged.
Anaerobic jars with an atmosphere of hydrogen and 10%CO2 are used for incubating cultures at 37°C for up to 7 days.

Digital dairy farming integrates IoT, artificial intelligence, machine learning, big-data analytics, cloud computing, sensors and automation to improve herd management. This chapter explains how wearable devices and monitoring systems support early disease detection, welfare assessment, milk-yield analysis and precision feeding. Automated milking, feeding and other operations reduce manual labour, improve consistency and lower operating costs. The architecture of smart dairy systems—including sensors, wireless communication and decision algorithms—is examined alongside environmental and economic benefits. Barriers include high initial investment, limited digital skills, poor rural connectivity and cybersecurity risks. Future developments may include AI-enabled autonomous dairy farms and interconnected, sustainable agricultural ecosystems.

UNTIL THE 1940S BIOLOGISTS ARGUED ABOUT WHETHER DNA OR PROTEIN WAS THE MOLECULE OF HEREDITY

Nuclei observed to divide when cells reproduced themselves

Large amounts of both DNA & protein in the nucleus

Many though protein was most likely molecule of heredity

Proteins made of 20 different amino acids- could have more variety than DNA (made of only 4 different bases)

DNA replication. The double helix is unwound and each strand acts as a template. Bases are matched to synthesize the new partner strands.

DNA replication, the basis for biological inheritance, is a fundamental process occurring in all living organisms to copy their DNA. This process is “replication” in that each strand of the original double-stranded DNA molecule serves as template for the reproduction of the complementary strand. Therefore, following DNA replication, two identical DNA molecules have been produced from a single double-stranded DNA molecule. Cellular proofreading and error toe-checking mechanisms ensure near perfect fidelity for DNA replication.

In a cell, DNA replication begins at specific locations in the genome, called “origins”.

Unwinding of DNA at the origin, and synthesis of new strands, forms a replication fork. In addition to DNA polymerase, the enzyme that synthesizes the new DNA by adding nucleotides matched to the template strand, a number of other proteins are associated with the fork and assist in the initiation and continuation of DNA synthesis.

7.1 Basic concept

What is DNA sequencing?

The genome of any biological organism is a sequence of nucleotides arranged in a specific manner. The nucleotides are chemically a base which usually exists in 4 different forms; Purine – Adenine (A) and Guanine (G) and Pyramidine – Cytosine (C) and Thymine (T). These four nucleotides make up an entire sequence of Deoxyribose Nucleic Acid (DNA) which is encodes the information of any cell in the form of a gene. The genome, therefore, is the complete set of all genes that is required to build and maintain that organism. DNA sequencing is the process wherein the precise order of these nucleotides along the gene is detected and analysed which includes any method or technology that assists in determining the sequence.