eChapters

For a researcher, laboratory is another home where he/she spends much time every day. As we take care of cleanliness, safety, and design of our home, we must take care on these aspects of laboratory too. It is the responsibility of the laboratory personnel to ensure cleanliness/safety of the laboratory. Since every laboratory chemical and equipment have the potential to cause harms if not used with appropriate precautions. Hence, as a laboratory user, it is our responsibility to follow the basic safety/biosafety rules and regulations set up by the Principal Investigator of the laboratory, Institutional Biosafety Committee, as well as by other regulatory authorities, if any. We must be aware of the general/personal protective measures, cleanliness and laboratory waste disposal prior to joining a research laboratory. In this chapter we will briefly discuss about personal safety, chemical safety, cleanliness, waste disposal, etc.

A. Personal Safety

1. Personal Protective Equipment (PPE)

Personal protective equipment (PPE) is special arrangement to protect the worker from specific hazards because of using a hazardous substance. PPE does not reduce or eliminate the hazard, but protects the wearer from exposure to hazardous material. PPE should not be reused or brought outside the laboratory as these might increase the risk of spread hazardous material or contamination. Used PPE must be kept inside the laboratory in a designated waste storage area adjacent to the work area.

Introduction

Resistance to antibiotics in the bacterial world is a genetically determined phenomenon that was first observed within a few years after the introduction of antibiotics for therapeutic purposes. In Nature, ARGs are believed to have originated about three billion years ago as an intrinsic defense mechanism in antibiotic-producing bacteria (Perry et al., 2016; Iskandar et al., 2022), and subsequently, evolved by complex and quantum jump trajectories to mobilize, diversify and interconnect all ecosystems in the micro-biosphere. Bacterial genomes exhibit plasticity and continue to evolve under the selection pressure of antibiotics and other stressors (Patel, 2016). The ARGs in circulation at present are thus a mixture of ancient and modern counterparts. Recently, the interplay between bacterial metabolism and antibiotic resistance has also been revealed (Zampieri, 2021).

The use of antimicrobials in health management, livestock, and food industry is driving the emergence of resistant microbes at a rapid pace (Wall et al., 2016; Adegoke et al., 2016; Hu et al., 2017). As a result, AR pathogens have spread globally to cause loss of lives, production, productivity, and negatively impact economic growth. Recently, AR pathogens in a large study have been found directly responsible for millions of deaths, and the figures are likely to increase in the coming decades (Murray et al., 2022). The pace of the emergence of AR can however be slowed down by improving human interventions. The global and local AR combat plans implemented during the past few years have enhanced the mass awareness of the pandemic problem (WHO, 2015; FAO, 2016; NAP, GOI, 2017; WHO, 2022; WOAH, 2022). These Action Plans on AR containment encourage avoiding of indiscriminate use of antibiotics for the treatment of sick humans and animals, recommend the ban on the use of antibiotics as growth promoters in food animals, promote AR surveillance and monitoring, and support the ‘One-Health’ strategy and application of the biosecurity principles for containment of the resistant microbes.

Introduction
India with a population of 1.30 billion people is highly focusing on “Development”i.e. good food, better health & living conditions for everyone. With the increase in the incomes, people can now afford better nutrition in the form of poultry egg and meat, now poultry industry has transformed from a mere backyard activity into a major commercial activity in just four decades. India is now the world’s 3rd largest egg producer and the 5thlargest producer of broilers. The Indian poultry market witnessed an increasing trend over the past five years, growing at a Compound Annual Growth Rate (CAGR) of 8.6% (DAHD, 2023). Poultry sector in India is valued at about Rs. 1,50,000 crore (2022-23) broadly divided into two sub-sectors – one with a highly organized commercial sector with about 80% of the total market share (say, Rs. 1,20,000 crore) and the other being unorganized with about 20% of the total market share of Rs. 30,000 Crore. (DAHD, 2023). Poultry production in India has become a profitable and most popular income generating sector for the educated unemployed youth. Most of the poultry farmers are interested in broiler production due to its quick returns, less space requirement and higher weight gains. The productive potential of poultry in India has not been fully exploited due to deficit feed resources and unutilization of available improved technologies for getting high productivity from the poultry at economical rate. Hence, it is essential to further enhance the feeding value of available feed resources so as to improve the efficiency of feed utilization and minimize the cost of feed per kilogram live weight gain. The use of antibioticas growth promoters in poultry has been banned due to concern about their residues in tissue and induction of bacterial resistance. Due to these concerns, recently many feed additives has been investigated for alternatives tofeed antibiotics. The international feed industry is facing the challenge of the awareness among the consumers of meat on the risk of bringing about antibiotic resistance in pathogenic microbiota through antibiotics used in animal and poultry feeds. It has directed them towards the non-antibiotic feed additives. Among them, the feed additives of plant origin, called as Phyto-additives or Phytogenic Feed Additives (PFA) or Phytobiotics are considered to be a better alternative as non-antibiotic growth promoters, even though there are well established non antibiotic growth promoters such as organic acids and probiotics. The Phytogenic feed additives also vary widely in their botanical origin, processing and composition. They have been used in solid, dried and ground forms or as extracts or essential oils.It is reported that aromatic plants may increase feed intake and may improve secretion of endogenous digestive enzymes. It has been shown thatthe dietary incorporation of herbs may provide beneficial effect on poultry performance and health due to the antimicrobial activity of their phytochemical components. Phytobiotics have gained increasing interest as natural growth promoting feed additives in broiler production in recent years. These have wide range of medicinal properties with no residual side effects and are best alternatives to antibiotic growth promoters (Chaudhary et al., 2018, 2019, Rahman et al., 2014). Beneficial effects of these substances in poultry nutrition are due to their high content of pharmacologically active compounds stimulating appetite and feed intake, improving endogenous digestive secretion and activating immune responses (Nouzarian et al., 2011 and Toghyani et al., 2010).

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.

The immune system has been designed to provide protection to the body from various diseases. But the same system which is aimed to provide protection may sometimes become harmful to the body and may even life-threatening. There are situations when immune response against harmless and inert antigens is exaggerated and actually causes diseases. Such a condition is called hypersensitivity or commonly as allergy. Though the term ‘hypersensitivity’ indicates an increased response but the immune response is not always heightened, instead it may be an inappropriate response to an antigen.

Metabolic fingerprinting and profiling provide powerful approaches for investigating global biochemical changes within biological systems. This chapter explains the principles of metabolic fingerprinting and profiling and distinguishes between broad, untargeted characterization and targeted analysis of selected metabolites. It discusses experimental design, sample preparation, analytical platforms, data preprocessing, normalization, statistical analysis, and multivariate approaches used to identify meaningful metabolic patterns. Techniques such as principal component analysis and related statistical methods help reveal differences between biological conditions. The chapter highlights applications in disease investigation, agricultural research, environmental studies, food analysis, and biotechnology, while emphasizing the importance of reproducible analytical procedures and appropriate interpretation of complex metabolomic datasets.

One of the greatest achievements in science is the development of vaccines. Vaccines have been revolutionary for the prevention of infectious diseases. They have prevented a large number of deaths caused, every year, by dreadful diseases like smallpox, polio, hepatitis etc. Diseases like smallpox and polio have been successfully eradicated by vaccination. Normally, when the body encounters a microbe, both humoral and cytotoxic immune responses are induced to neutralize its effect. In addition to eliminate the invader, body forms memory cells which help the body to protect itself from the same pathogen, in future. Vaccines not only function to kill the pathogens but they also stimulate the body to form memory cells which provide immunity against a specific pathogen

Growth of bacteria can be defined as change of total population mass, not individual increase in size or mass. Macroscopically visible growth of bacteria on the solid medium is known as ‘colony’. It is estimated that if Escherichia coli are allowed to grow, a single bacterial cell can produce a daughter population with the mass of the whole earth within 2 days! In the environment the bacteria are not actively growing all the time. The mechanisms behind the growth-arrested states of environmental bacteria are not well understood.

Bacterial reproduction

Bacterial reproduction is an asexual process which occurs by binary fission, budding, fragmentation and condiospore or sporangiospore formation. There is no possibility of genetic exchange (reassortment) as it is originated from a single parent cell. Bacterial gene transfer occurs by transformation, transduction and conjugation methods (discussed later in details). These are one-directional DNA transfer methods and are not associated with reproduction. The donor bacteria can give the genetic material to the recipient and the vice-versa does not occur.

Binary fission: In binary fission, bacterial DNA is replicated first and then the parent cell separates. Each daughter cell receives a complete genome, identical to the parent cell. Bacterial DNA replication begins when the cells reach a specific mass. If the cell diameter is constant, longer cells will begin DNA replication earlier than the shorter cells. The shorter cells need time to reach a critical mass required for the initiation of DNA replication. The ugtP proteins were identified to be associated with shorter cells and delayed DNA replication in Gram-positive bacteria (Bacillus subtilis). It was confirmed later that the ugtP act as inhibitor for Z-ring formation.

Many techniques are used in immunology to detect specific proteins (antigens) or antibodies in biological samples. These techniques are called immunotechniques. These methods are used for research and diagnostic purpose in many fields such as microbiology, biochemistry, endocrinology, hematology and in pathological laboratories. The techniques can be used to estimate proteins, drugs, hormones and toxic substances in a sample. Immunological techniques are highly specific, precise and reliable. These methods are simple and safe. Antigen and antibody reaction is highly specific in nature and this forms the base of the immunological methods. There are many immunotechniques which are used for the qualitative and quantitative estimation of antigens and antibodies in a sample. Some of commonly used techniques in immunology are:

Sir Alexander Ogston, a physician from Scotland, first elucidated the role of Micrococcus in formation of pus. He proposed the name ‘Staphylococcus’ (In Greek ‘staphyle’ means bunch of grapes and ‘kokkos’ means berry). Anton J. Rosenbach isolated two different species of Staphylococcus and named them according to the pigmented appearance of colonies i.e. Staphylococcus aureus (in Latin ‘aurum’ means gold) and Staphylococcus albus (in Latin ‘albus’ means white). The studies of Bumm (1885) established the relationship of Staphylococcus with human infections. Nocard (1887) and Guillebeau (1890) isolated Staphylococcus from mastitis in sheep and cattle, respectively and established its pathogenic role in animals.

Climate change affects livestock through heat stress, water scarcity, unstable feed supplies, altered disease patterns and extreme weather. This chapter examines how artificial intelligence supports climate-smart and sustainable animal husbandry. Machine learning, predictive analytics and IoT-enabled monitoring can optimize feeding, detect disease, assess welfare and improve the use of water, energy and other resources. Intelligent technologies can also assist in reducing greenhouse-gas emissions and developing adaptive production strategies. The chapter evaluates the contribution of AI to productivity, climate resilience and environmental responsibility while addressing problems such as insufficient data, limited infrastructure, implementation costs and ethical concerns. Future integration with sustainable agricultural frameworks is also discussed.

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.

Enzymes are biological catalysts that regulate biochemical reactions and control metabolic pathways. This chapter explains how metabolomics can contribute to the discovery and functional characterization of enzymes by identifying changes in metabolite concentrations associated with enzymatic activity. Comparative metabolomics, gene knockout experiments, stable-isotope labeling, and multi-omics integration are discussed as approaches for linking metabolites with enzyme functions. Analytical platforms such as GC–MS, LC–MS, and NMR, together with databases including KEGG, BRENDA, HMDB, and METLIN, support metabolite identification and pathway analysis. The chapter also considers experimental validation, bioinformatics, challenges associated with unknown metabolites, and future applications involving artificial intelligence and computational biology.

Virus can be defined as a genetic element containing either DNA or RNA that replicates in host cells as intracellular parasites but is characterized by having an extracellular state.

Virus can use the metabolic machinery of the host cell and can modify the genetics of the host cell. Virus has both extracellular and intracellular state.

Extracellular State

Outside the host cell, the virus is a minute particle containing nucleic acid surrounded by protein, which is referred as virions or virus particles. Virions are inert and have no biosynthetic and metabolic functions. Extracellular state or virus particle is the perfect stage of virus to study the morphology and chemistry.

Intracellular State

The active state in which the virus replicate in the host cell. When the virus nucleic acid is introduced to host cell and replication starts, the process is referred as infection. The cell in which infection of virus and replication takes place is referred as host cell.

History of rickettsial infections went back to 16^th century and it has long been associated with famine and war. Epidemic typhus had major impact to decide over the outcome of several wars. The epidemic alone killed or caused great sufferings to over 1,00,000 people during World Wars. However, the causative agent was not determined until the early part of the 20^th century. Rocky Mountain spotted fever (RMSF) was the first detected rickettsial infection in 1896 in Idaho Valley, USA. It was originally known as ‘black measles’ due to its clinical appearance in the form of characteristic spotted rash throughout the body. Howard Taylor Ricketts, an American pathologist for the first time described the causative agent of Rocky Mountain spotted fever and was able to isolate it in the laboratory animals during 1902-1909. He was a dedicated scientist and on several occasions injected himself with the pathogen for experiment. The causative pathogen of Rocky Mountain spotted fever, Rickettsia rickettsii was named after him. Later, the family Rickettsiaceae as well as the order Rickettsiales was named after him. Ernest William Goodpasture, an American pathologist and physician, invented the methods of isolation and culturing the rickettsial pathogens in chicken embryos and fertilized chicken eggs.

Small ruminant sector, after agriculture, is the second largest means for economic sustainability and livelihood in India. It contributed Rs. 32000 crore to the gross domestic product of India in 2012 -13 despite having a potential to contribute over Rs. 150,000 crore but there are certain lacunae in system which act as its growth inhibitor. Small ruminants are the main source for rural economies due to participation of women (70% of total) and weaker sections of the rural society. Thus there is urgent need for formulating policies to support the development of the small ruminant sector.
 
Sheep and goat husbandry is a tool for poverty alleviation of the rural masses because of wide adaptability with low investments, high fertility and fecundity, low feed and management costs, higher feed conversion efficiency, quick pay off and low risk in comparison to large ruminants. The above traits of small ruminants need to be exploited for economic upliftment of small farmers.

AI-driven animal husbandry is advancing through machine learning, computer vision, IoT, big-data analytics, wearable devices and automated equipment. This chapter considers future applications for monitoring animal health, behaviour, nutrition, reproduction and environmental conditions. Predictive systems can support early disease detection, precision feeding, improved breeding and reduced production costs. However, high implementation costs, data privacy, inadequate infrastructure and limited digital knowledge remain significant obstacles, particularly in developing regions. Future research should prioritize affordable, user-friendly and explainable technologies suited to smallholders. Ethical AI, climate adaptation, multimodal data integration, omics analysis and interdisciplinary collaboration among animal scientists, engineers, policymakers and farmers are identified as essential research directions.

Small ruminants is a composite term used for sheep and goats. Throughout the developing countries, small ruminants make a very valuable contribution, especially to the poor in the rural areas. These contributions range from precious animal proteins (meat and milk) to fibre and skins, draught power in the highlands, food security and stable households. By and large, the importance and extent of the contributions are inadequately understood as a consequence of which these valuable genetic resources continue to be generally neglected. Research and development investments to improve the relatively low level of contribution do not match their potential importance, the contribution to nutritional security and livelihoods of the poor in rural areas. Species like goat and sheep are of short-generation interval, have a high prolificacy rate and require less land, investment and operational expenses and are better suited to the resource endowment of the poor.

Water, of its very nature, as it occurs automatically in the process of cosmic evolution, is fit, with a fitness no less marvelous and varied than that fitness of the organism which has been won by the process of adaptation in the course of organic evolution.

WATER IS ABSOLUTELY ESSENTIAL FOR ALL LIVING ORGANISMS

The evidence:

Most organisms are comprised of at least 70% or more water. Some plants, like a head of lettuce, are made up of nearly 95% water;

When organisms go dormant, they loose most of their water. For example, seeds and buds are typically less than 10% water, as are desiccated rotifers, nematodes and yeast cells;

Earth is the water planet (that’s why astronomers get so excited about finding water in space).

Water is the limiting resource for crop productivity in most agricultural systems.

IoT networks and smart sensors enable continuous livestock monitoring, overcoming the delay and subjectivity associated with manual observation. This chapter reviews sensor types, communication systems, cloud and edge computing, and their applications in animal-health and behaviour tracking. It proposes a framework integrating multimodal sensors with IoT networks and machine-learning models such as CNNs and LSTMs. The system can detect abnormalities, predict health conditions and provide real-time decision support. Practical benefits include earlier intervention, improved welfare, reduced labour and more efficient production. The chapter also addresses implementation problems, costs, connectivity, data security, technical reliability and ethical considerations associated with constant digital monitoring of animals.