Immunoglobulin genomics in the prairie vole (Microtus ochrogaster)

Identification of two immunoglobulin light chain types and expression of immunoglobulin diversity in Chinese giant salamander (Andrias davidianus)

Lacking research on immunoglobulins in the Chinese giant salamanders (Andrias davidianus) has left their populations vulnerable to pathogen infections, contributing to a sharp decline in their numbers. In this study, we employed the rapid amplification of cDNA ends (RACE) technique along with paired-end 300 bp read length (PE300) sequencing. This approach was used to construct a DNA library, which enabled us to investigate the diversity of immunoglobulin gene expression. Through this approach, we identified structural features of immunoglobulin light chains. Our results revealed the presence of Igλ and Igσ. Similar to other vertebrates, the immunoglobulin light chains of Chinese giant salamanders are composed of variable (V) and constant (C) domains connected by recombination activating gene (RAG) mediated V-J (joining) recombination. This canonical gene organization allows combinatorial diversity through rearrangement of multiple V and J gene segments. The IgLC features FPPS and FYP motifs, showing high similarity to both mammalian IgLC sequences and the IgLC of the Chinese Alligator (Alligator sinensis). The IgSC, characterized by SSYL structures, showed strong homology with fish and amphibian IgSC sequences, notably the axolotl (Ambystoma mexicanum) IgSC. Both the IgLV and IgSV sequences exhibit a YYCXX fold in the last five residues of framework region 3 (FR3). FR3 is a critical framework region within the V domain that anchors the antigen binding complementarity determining regions. Notably, the FPPS/FYP motifs in Igλ and SSYL motifs in Igσ exhibited evolutionary conservation patterns consistent with those in other vertebrates. In terms of gene expression diversity, the IgH is composed of 7 IgHV, 7 IgHD, and 6 IgHJ subgroups, while the Igλ consists of 10 IgLV and 7 IgLJ subgroups, and the Igσ comprises 5 IgSV and 7 IgSJ subgroups. Dominant IgH combinations are IgHV4-IgHD3-IgHJ4 and IgHV4-IgHD2-IgHJ4. The Igλ shows high usage of IgLV8, IgLV3, IgLJ7, and IgLJ3, while the Igσ is predominantly characterized by IgSV3-IgSJ3. Notably, Cys utilization in the complementarity determining region 3 (CDR3) region was extremely low, suggesting that gene conversion plays a significant role in immune adaptation. This research enriches the immune genetic map of the Chinese giant salamanders and enhances our understanding of immunoglobulin evolution in tetrapods.

Somatic Diversification of Rearranged Antibody Gene Segments by Intra- and Interchromosomal Templated Mutagenesis

The ability of the humoral immune system to generate Abs capable of specifically binding a myriad of Ags is critically dependent on the somatic hypermutation program. This program induces both templated mutations (i.e., gene conversion) and untemplated mutations. In humans, somatic hypermutation is widely believed to result in untemplated point mutations. In this study, we demonstrate detection of large-scale templated events that occur in human memory B cells and circulating plasmablasts. We find that such mutations are templated intrachromosomally from IGHV genes and interchromosomally from IGHV pseudogenes as well as other homologous regions unrelated to IGHV genes. These same donor regions are used in multiple individuals, and they predominantly originate from chromosomes 14, 15, and 16. In addition, we find that exogenous sequences placed at the IgH locus, such as LAIR1, undergo templated mutagenesis and that homology appears to be the major determinant for donor choice. Furthermore, we find that donor tracts originate from areas in proximity with open chromatin, which are transcriptionally active, and are found in spatial proximity with the IgH locus during the germinal center reaction. These donor sequences are inserted into the Ig gene segment in association with overlapping activation-induced cytidine deaminase hotspots. Taken together, these studies suggest that diversity generated during the germinal center response is driven by untemplated point mutations as well as templated mutagenesis using local and distant regions of the genome.

Lost structural and functional inter-relationships between Ig and TCR loci in mammals revealed in sharks

Immunoglobulins and T cell receptors (TCR) have obvious structural similarities as well as similar immunogenetic diversification and selection mechanisms. Nevertheless, the two receptor systems and the loci that encode them are distinct in humans and classical murine models, and the gene segments comprising each repertoire are mutually exclusive. Additionally, while both B and T cells employ recombination-activating genes (RAG) for primary diversification, immunoglobulins are afforded a supplementary set of activation-induced cytidine deaminase (AID)-mediated diversification tools. As the oldest-emerging vertebrates sharing the same adaptive B and T cell receptor systems as humans, extant cartilaginous fishes allow a potential view of the ancestral immune system. In this review, we discuss breakthroughs we have made in studies of nurse shark (Ginglymostoma cirratum) T cell receptors demonstrating substantial integration of loci and diversification mechanisms in primordial B and T cell repertoires. We survey these findings in this shark model where they were first described, while noting corroborating examples in other vertebrate groups. We also consider other examples where the gnathostome common ancestry of the B and T cell receptor systems have allowed dovetailing of genomic elements and AID-based diversification approaches for the TCR. The cartilaginous fish seem to have retained this T/B cell plasticity to a greater extent than more derived vertebrate groups, but representatives in all vertebrate taxa except bony fish and placental mammals show such plasticity.

The analysis of organization and diversity mechanism in goat immunoglobulin light chain gene loci

The genomic organization of goat immunoglobulin light chains (Igλ and Igκ) loci were annotated based on the goat genome database. The goat Igλ chain located on chromosome 17 contains at least 35 V_λ gene fragments (seven potential functional genes, one ORF and 27 pseudogenes), two J_λ-C_λ clusters arranged in a V_λ(35)-J_λ2-C_λ1-J_λ1-C_λ2 pattern, with another C_λ3 on scaffold. The Igκ locus included 11 Vκ (five potential functional genes, two ORFs and four pseudogene fragments), three J_κ genes and a single C_κ gene ordered in V_κ(35)-J_κ(3)-C_κ pattern on chromosome 11. By analyzing the clonies of Igλ and Igκ, we further found V_λ2 (26.23 %) &V_λ3 (73.11 %), V_κ2 (52.07 %) &V_κ4 (46.15 %) were predominately used in the expression of λ and κ chains respectively. λ chain showed more abundance in connective diversity than κ chain. Besides, somatic hypermutation with higher frequency in both immunoglobulin light chains was the major mechanism for the goat repertoire diversity. These results demonstrated goat immunoglobulin light chain variable region genome loci and repertoire diversity.

A double-strand break can trigger immunoglobulin gene conversion

All three B cell-specific activities of the immunoglobulin (Ig) gene re-modeling system—gene conversion, somatic hypermutation and class switch recombination—require activation-induced deaminase (AID). AID-induced DNA lesions must be further processed and dissected into different DNA recombination pathways. In order to characterize potential intermediates for Ig gene conversion, we inserted an I-SceI recognition site into the complementarity determining region 1 (CDR1) of the Ig light chain locus of the AID knockout DT40 cell line, and conditionally expressed I-SceI endonuclease. Here, we show that a double-strand break (DSB) in CDR1 is sufficient to trigger Ig gene conversion in the absence of AID. The pattern and pseudogene usage of DSB-induced gene conversion were comparable to those of AID-induced gene conversion; surprisingly, sometimes a single DSB induced multiple gene conversion events. These constitute direct evidence that a DSB in the V region can be an intermediate for gene conversion. The fate of the DNA lesion downstream of a DSB had more flexibility than that of AID, suggesting two alternative models: (i) DSBs during the physiological gene conversion are in the minority compared to single-strand breaks (SSBs), which are frequently generated following DNA deamination, or (ii) the physiological gene conversion is mediated by a tightly regulated DSB that is locally protected from non-homologous end joining (NHEJ) or other non-homologous DNA recombination machineries.

Practical guidelines for B-cell receptor repertoire sequencing analysis

High-throughput sequencing of B-cell immunoglobulin repertoires is increasingly being applied to gain insights into the adaptive immune response in healthy individuals and in those with a wide range of diseases. Recent applications include the study of autoimmunity, infection, allergy, cancer and aging. As sequencing technologies continue to improve, these repertoire sequencing experiments are producing ever larger datasets, with tens- to hundreds-of-millions of sequences. These data require specialized bioinformatics pipelines to be analyzed effectively. Numerous methods and tools have been developed to handle different steps of the analysis, and integrated software suites have recently been made available. However, the field has yet to converge on a standard pipeline for data processing and analysis. Common file formats for data sharing are also lacking. Here we provide a set of practical guidelines for B-cell receptor repertoire sequencing analysis, starting from raw sequencing reads and proceeding through pre-processing, determination of population structure, and analysis of repertoire properties. These include methods for unique molecular identifiers and sequencing error correction, V(D)J assignment and detection of novel alleles, clonal assignment, lineage tree construction, somatic hypermutation modeling, selection analysis, and analysis of stereotyped or convergent responses. The guidelines presented here highlight the major steps involved in the analysis of B-cell repertoire sequencing data, along with recommendations on how to avoid common pitfalls.