Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 437

The DOI matches its Crossref record; 28 of the 28 references it cites were found in a registry or an index.

THE ORGANIZATION, EXPRESSION, AND EVOLUTION OF ANTIBODY GENES AND OTHER MULTIGENE FAMILIES

Hood, L., Campbell, J. H., Elgin, S. C. R.·1975·Annual Review of Genetics

Abstract

The multigene family is a unit of chromosomal organization. Its gene members are closely linked, homologous in sequence, and have overlapping functions. Multigene families can be divided into three catagories: simple-sequence, multiplicational, and informational-by a variety of structural and functional criteria. Multigene families exhibit two novel evolutionary features-coincidental evolution and rapid change in family size-that suggest that they all share one or more evolutionary mechanisms. Natural selection cannot act directly upon individual genes in a family because of their identical or overlapping functions; hence selection must operate upon the family as a whole or upon blocks of genes within the family. The mechanism(s) for coincidental evolution expands out variant genes within a family so they can be acted upon by natural selection and, accordingly, permits multigene families to evolve adaptively. The control mechanisms in multiplicational families appear to promote the rapid expression of many gene copies. In contrast, the regulatory mechanisms of informational families promote the selection, expression, and amplification of appropriate units of information. The close linkage of the genes in a family appears to be a consequence of the fact that their control and evolutionary mechanisms may only operate on tandemly linked genes. New multigene families may evolve from a single gene or from other multigene families. In addition to evolving new functions, the latter mode of evolution generates a new multigene family whose members are preadapted to interact with those of the old family. These family interactions can lead to the evolution of more sophisticated molecular machines or to the regulation of one family by a second. Multigene families may be large or small. The three catagories of multigene families allow potential multigene families to be identified, and they suggest specific experimental approaches for the study of new families. Some of the most interesting genetic systems under the investigation today are known or potential informational multigene families. This is not fortuitous in that many of the most interesting aspects of phenotype are complex ones with correspondingly complex genetic, evolutionary, and regulatory requirements. One of the frontiers in modern genetics is the identification, characterization, and understanding of informational multigene families.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1146/annurev.ge.09.120175.001513

Cites

28 of 28 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 28 references

Cited by

See all 437

Metadata

Authors
Hood, L., Campbell, J. H., & Elgin, S. C. R.
Venue
Annual Review of Genetics
Published
1975-12
Volume
9
Issue
1
Pages
305-353
ISSN
  • 0066-4197 (ISSN-L)
  • 1545-2948
OpenAlex
W2180581282
Cited by
437
References
28
FWCI
47.22
Type
journal article
Language
en
Open access
closed

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: THE ORGANIZATION, EXPRESSION, AND EVOLUTION OF ANTIBODY GENES AND OTHER MULTIGENE FAMILIES. https://app.cochat.ai/papers/10.1146/annurev.ge.09.120175.001513
The paper
Hood, L., Campbell, J. H., & Elgin, S. C. R. (1975). THE ORGANIZATION, EXPRESSION, AND EVOLUTION OF ANTIBODY GENES AND OTHER MULTIGENE FAMILIES. Annual Review of Genetics. https://doi.org/10.1146/annurev.ge.09.120175.001513

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.