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Endosymbiosis is an ecological association in which one organism, the endosymbiont, lives inside another. The definition specifies location, not that both partners benefit, nor that the internal partner has become an organelle. An intracellular association can remain an association between distinct organisms. Endosymbiotic theory addresses a different question: how particular ancestral bacteria became inherited, functionally integrated organelles during evolution.

The striking consequence is that a eukaryotic biological cell can combine histories: its nuclear lineage and its mitochondria need not have the same ancestry. Mitochondria have bacterial ancestry related to Alphaproteobacteria; the plastids of plants and many algae, including chloroplasts, have ancestry within cyanobacteria. These are ancestral lineages, not a claim that a named living bacterial species is the literal ancestor. Present-day bacteria and organelles have both evolved since their shared ancestors. ^[ref]

Energy flow tracks energy entering an ecosystem, passing through organisms and leaving its boundary. To see its quantitative effect, assume net production at one trophic level is $P_1=1000\mathrm{kJ}{\mathrm{m}}^{-2}\mathrm{da}{\mathrm{y}}^{-1}$ and assume a transfer efficiency $\epsilon =0.10$ at each of two successive steps. Here $P_i$ measures the energy incorporated into new living material per unit area per day, after that level's own cellular respiration; it is not a count of organisms or a standing stock. The joule supplies the energy unit, with $1\mathrm{kJ}=1000\mathrm{J}$.

Only $10/1000=0.01$, or one percent, of the initial production reaches level 3 in this toy food chain. The first step leaves $1000-100=900$ and the second $100-10=90$ outside the next level's new production. These differences can include uneaten material, wastes, and energy released as heat during cellular respiration; their separate amounts have not been assigned. Detritus can still carry energy to decomposers. The 10 percent efficiency is an assumption, not a universal law: transfer efficiencies vary with the organisms, food and conditions. The production ratio $P_{i+1}/P_i$ also differs from the fraction of an individual meal converted into growth. See Clark, Douglas and Choi, Biology 2e, 46.2: production and transfer efficiency.

The shrinking budget explains why supporting another trophic level requires enough production below it. It does not prove an exact maximum length for every food chain, particularly when a food web imports resources or has branching diets. Lindeman's 1942 paper grouped feeding relationships into trophic levels, compared transfers and cellular respiration, and emphasized the ecosystem as a unit connecting living and nonliving components. That viewpoint made different organisms comparable through a common energy budget. See Lindeman, The Trophic-Dynamic Aspect of Ecology (1942).

Material recycling and energy flow describe different bookkeeping. Carbon, nitrogen and phosphorus can be reused through chemical reactions and transfers between organisms and their surroundings. Energy transferred as heat is conserved, but is no longer the same store of chemical energy available to a consumer; photosynthetic primary producers need continuing light input. A decomposer helps recycle material and also releases heat through metabolism. Thus loss from one feeding budget means transfer into other forms or routes, never destruction of energy. See Clark, Douglas and Choi, Biology 2e, 46.3: material cycles. Conservation of energy applies to the whole accounting.

A eukaryote is an organism belonging to the lineage characterized by a membrane-bounded cell nucleus and extensive cellular compartmentalization. A nuclear envelope surrounds the nuclear genome; nuclear chromosomes are typically linear. Ribosomes perform biological translation outside the cell nucleus. See OpenStax Microbiology, 3.4: nuclear organization and protein synthesis. Specialized biological cells can lose their cell nucleus, as mature mammalian red blood cells do, while remaining parts of eukaryotic organisms; see OpenStax Biology 2e, 40.2: mature red blood cells.

Yeasts, plants and animals are all eukaryotes. Typical cells in these groups have mitochondria, but chloroplasts belong to photosynthetic plant and algae lineages, not to every eukaryote. A cell wall occurs in typical plant and fungus cells but is absent from animal cells. These are comparisons of representative cells, not a checklist every specialized cell must satisfy. See OpenStax Biology 2e, 4.3: nucleus, organelles and representative cells.

The interesting feature is controlled separation: cell membranes and organelle membranes let different cellular processes occupy distinct compartments while membrane transport connects them. The evolution of eukaryotes also involved partnership: mitochondria descend from a bacterial endosymbiosis. Modern phylogenetics supports an archaeal ancestry for the nuclear lineage, alongside this bacterial contribution; see two-domain system. Thus the history of a whole eukaryote cannot be read as the history of just one of its genes.

Resemblance is a clue, not sufficient evidence of common descent. A small size, two surrounding membranes, division, retained DNA or bacterial-looking ribosomes does not uniquely identify an ancestor. Internal membranes exist outside these organelles, and a similar function can favor similar structures. The stronger question is whether independently examined molecular characters support the same historical relationship.

A concrete genomic observation is the mitochondrial sequence reported in 1997 for Reclinomonas americana: $69,034$ base pairs containing 97 identified genes, including four for a bacterial-type multisubunit RNA polymerase. This is a reported genome inventory, not a calculation from the pictured shape of a mitochondrion. Retention of such bacterial features strengthens the ancestry argument; a living Reclinomonas americana is not itself an ancestral eukaryote. The inspected abstract supplies these observations but not the detailed sequencing protocol or contamination controls, so those details are not attributed to this report here. ^[ref]

A sequence-based investigation obtains nucleotide sequences by DNA sequencing, identifies comparable genes, makes a sequence alignment and uses phylogenetics to infer relationships. The readout is a proposed relationship with support and uncertainty, not a photograph of an ancient encounter. Comparisons of plastid sequences with bacterial sequences support cyanobacterial ancestry, while the exact closest sampled cyanobacterial group has depended on the chosen data and inference. A bacterial affinity in one gene is weaker than coherent evidence across several genes and cellular systems. ^[ref]

For such an analysis, useful checks include distinguishing organelle DNA from bacterial contamination, verifying sequence quality, comparing corresponding rather than unrelated genes, sampling several bacterial groups and testing sensitivity to the sequence alignment and evolutionary mathematical model. These are methodological requirements, not a claim that this article has rerun a particular published analysis. Horizontal gene transfer, gene loss and unequal evolutionary change can make an individual gene's history differ from a whole organism's history. A supported bacterial origin therefore need not identify an extant donor species, an exact date or the original mode of entry. ^[ref]

A gene is an inherited functional unit of genetic material. In cellular organisms, a gene is a region of DNA whose information produces a functional RNA or contributes to a protein. This connects inheritance to cellular chemistry: a change in a gene can alter the amount or activity of a protein, and thereby a phenotype. See NHGRI: gene.

Alternative inherited versions at a genetic locus are alleles. The distinction matters: two parents can carry the same gene but different alleles, and a genetic locus can have variation outside a gene. Neither the word gene nor a change in DNA alone specifies the resulting phenotype.

// Target: biology.bigb

Genetics studies how genes are inherited, how their alleles vary, and how that variation contributes to phenotypes. Its central distinction is between an inherited description, the genotype, and what an organism actually expresses, the phenotype. Following alleles through a pedigree answers a family-level question; following allele frequencies through generations leads to population genetics and evolution.

The beauty of Mendelian segregation is that discrete inherited copies can generate predictable statistical patterns without making every offspring identical. A single genetic locus already connects meiosis, probability and observable variation. The Hardy-Weinberg principle then supplies a population baseline: it separates reshuffling inherited copies from processes such as natural selection that change their frequencies. These simple models are useful precisely because their assumptions can be stated and checked.

A genome is the complete set of genetic information under discussion. For a cellular organism it is encoded in DNA, including genes and other sequences. Specify whether a comparison concerns a nuclear genome, a mitochondrion's genome or all cellular genetic material: the cell nucleus does not contain every DNA sequence in a typical eukaryote. See NHGRI: genome.

A model organism is an organism used to investigate biological processes through accessible, repeatable experiments. Its value combines experimental tractability with a carefully delimited relationship to other organisms. For example, a gene deletion in Saccharomyces cerevisiae can test whether a gene is required for growth under specified conditions; adding another gene can test functional complementation. Such interventions support causal inference more directly than merely noticing that a gene and a phenotype occur together. ^[ref]

The striking opportunity is to ask two experimentally separate questions: what does this component do here, and which part of that function survives a change of species or conditions? The yeast cross-species complementation experiment makes both questions concrete. Model organism evidence transfer requires specifying the function being compared; a useful model organism need not reproduce every feature of another organism.

A multicellular organism has a body of multiple biological cells whose growth and activities are integrated into the life of the whole organism. Extensive cell differentiation is common in complex examples, but specialized biological cells are not a prerequisite for every simple form. Ask how the body develops, how its parts cooperate and how it produces descendants, rather than counting attached biological cells alone. The boundary with a biological colony depends on the degree of integration and the criteria being investigated; there is no universal cell-count threshold. See the Queller and Strassmann account cited under unicellular organism.

Specialization makes the whole capable of combinations that one general-purpose biological cell cannot achieve in the same way. In an animal, a neuron transmits signals while a red blood cell carries oxygen; each still requires a working cell membrane and metabolism. A mature mammalian red blood cell lacks a cell nucleus and mitochondria, illustrating how a useful part need not retain the equipment of a self-reproducing organism. See Clark, Douglas and Choi, Biology 2e, 40.2: red blood cell specialization. Cell differentiation generally involves different gene expression, rather than a different inherited genome for each function. Biological development must coordinate growth, position, interactions and specialization: increasing the number of biological cells is only one component. See Alberts et al., Molecular Biology of the Cell, chapter 21 (2002): construction of multicellular bodies.

A motivating experiment: select for a property of groups. Ratcliff, Denison, Borrello and Travisano's 2012 study began with Saccharomyces cerevisiae growing as unicellular organisms. Daily transfer favored rapidly settling material. Their initial protocol allowed a $10\mathrm{mL}$ culture to settle for $45\min$, discarded the upper $9.9\mathrm{mL}$, and transferred the bottom $100\mu \mathrm{L}$ into fresh medium. After seven days, they instead sampled $1.5\mathrm{mL}$ and centrifuged it at $100$ times gravitational acceleration for $10\mathrm{s}$, again transferring the bottom $100\mu \mathrm{L}$. Faster settling made it more likely that a lineage would seed tomorrow's culture; the procedure selected a physical outcome without specifying how it must arise. These protocol details are explicitly recounted in Gulli, Herron and Ratcliff, Evolution of altruistic cooperation among nascent multicellular organisms (2019): original settling protocol.

The primary 2012 paper reports snowflake yeast dominating all ten initial replicate populations by 60 transfers. To distinguish the joining of previously separate biological cells from clonal development, the researchers enzymatically separated clusters and followed individual biological cells for $16\mathrm{h}$: attached descendants rebuilt clusters, with no such joining observed. Staining localized attachments at bud scars. Time-lapse observations also showed clusters releasing smaller multicellular offspring, called propagules; small clusters grew before they reproduced. See Ratcliff et al., Experimental evolution of multicellularity (2012), figures 1–3: emergence, development and reproduction.

The experimental comparisons ask different questions. Competition with the unicellular organism ancestor showed a reported $34\%$ advantage under settling selection. Without settling selection, the estimated $10\%$ disadvantage had a one-sided $P=0.06$, so it was suggestive rather than decisive evidence of a cost. Separately, three populations derived from one evolved isolate retained the cluster form through 35 transfers without settling selection. That persistence tests stability, not whether clusters always outperform single biological cells. See Ratcliff et al. (2012), figure 2 and the cluster-formation results cited above.

A 2015 follow-up added a causal test: deleting the gene ACE2 in the unicellular organism ancestor produced snowflake yeast, while supplying functional ACE2 to one evolved isolate restored separation into single biological cells. Sequence changes altering the encoded protein were found in ACE2 in five of ten examined lineages; the study did not identify that same sequence-change mechanism in every lineage. The deletion and restoration comparisons support a mechanism beyond the observation that clusters settle quickly. See Ratcliff, Fankhauser, Rogers, Greig and Travisano, Origins of multicellular evolvability in snowflake yeast (2015), figure 1.

What follows, and what does not. The evidence supports inherited cluster formation, clonal development and a reproducing collective whose properties can respond to natural selection. Calling these simple multicellular organisms recognizes those demonstrated properties; it does not turn every clump into an animal or establish animal-like cell differentiation. This laboratory route also does not reconstruct the actual ancestry of animals or show that complex developmental integration must follow. The interesting achievement is narrower and testable: a change in how descendants remain connected creates a new scale at which growth and reproductive success can be measured.

For the toy figure, let $p$ be the fraction of tracked units of type C before transfer and let $s_C,s_U$ be the respective probabilities of transfer for C and U. Assume equally weighted units and equal multiplication between transfers. When overall transfer probability is nonzero, conditioning on transfer givesWith $p=1/5$, $s_C=4/5$ and $s_U=1/10$, the numerator is $4/25$ and the denominator $6/25$, giving $p_{\mathrm{after}}=2/3$. If both types have the same nonzero transfer probability, the fraction stays $1/5$. This is conditional probability, not a model of the full experimental life cycle: real cluster sizes, growth and fragmentation affect which quantity a frequency measures. In particular, a fraction of clusters is not automatically a fraction of biological cells.

An omnivore feeds on both primary producers and consumers. Its mixed diet explains why a trophic level need not be a whole number or a fixed label throughout an organism's life.

An organism is an individual living system, made of one biological cell or an integrated assembly of biological cells. An Escherichia coli cell is an entire organism; a neuron is normally a specialized part of an animal. Metabolism, regulated exchange through cell membranes, and inherited information connect these very different scales. See OpenStax Biology 2e, 1.2: living systems and levels of organization.

Keep two questions separate: how many biological cells make the organism, and how those biological cells are organized. A yeast and an Escherichia coli are both unicellular organisms, but the yeast is a eukaryote and the Escherichia coli a prokaryote. A plant and an animal are multicellular organisms with eukaryotic cellular organization. Neither distinction ranks organisms as better or worse: natural selection acts on reproduction in particular environments.