Hsu Tiffany Y, Nzabarushimana Etienne, Wong Dennis, Luo Chengwei, Beiko Robert G, Langille Morgan, Huttenhower Curtis, Nguyen Long H, Franzosa Eric A
Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.
Nat Microbiol. 2025 Jan;10(1):94-111. doi: 10.1038/s41564-024-01881-w. Epub 2025 Jan 2.
Lateral gene transfer (LGT), also known as horizontal gene transfer, facilitates genomic diversification in microbial populations. While previous work has surveyed LGT in human-associated microbial isolate genomes, the landscape of LGT arising in personal microbiomes is not well understood, as there are no widely adopted methods to characterize LGT from complex communities. Here we developed, benchmarked and validated a computational algorithm (WAAFLE or Workflow to Annotate Assemblies and Find LGT Events) to profile LGT from assembled metagenomes. WAAFLE prioritizes specificity while maintaining high sensitivity for intergenus LGT. Applying WAAFLE to >2,000 human metagenomes from diverse body sites, we identified >100,000 high-confidence previously uncharacterized LGT (~2 per microbial genome-equivalent). These were enriched for mobile elements, as well as restriction-modification functions associated with the destruction of foreign DNA. LGT frequency was influenced by biogeography, phylogenetic similarity of involved pairs (for example, Fusobacterium periodonticum and F. nucleatum) and donor abundance. These forces manifest as networks in which hub taxa donate unequally with phylogenetic neighbours. Our findings suggest that human microbiome LGT may be more ubiquitous than previously described.
横向基因转移(LGT),也被称为水平基因转移,促进了微生物群体基因组的多样化。虽然之前的研究已经对与人类相关的微生物分离株基因组中的LGT进行了调查,但由于没有广泛采用的方法来表征复杂群落中的LGT,个人微生物组中LGT的情况仍未得到充分了解。在这里,我们开发、测试并验证了一种计算算法(WAAFLE,即注释组装序列并查找LGT事件的工作流程),用于从组装的宏基因组中分析LGT。WAAFLE在保持对属间LGT高灵敏度的同时,优先考虑特异性。将WAAFLE应用于来自不同身体部位的2000多个人类宏基因组,我们鉴定出超过100,000个高可信度的此前未被表征的LGT(每微生物基因组当量约2个)。这些LGT富含移动元件以及与外源DNA破坏相关的限制修饰功能。LGT频率受生物地理学、相关配对的系统发育相似性(例如,具核梭杆菌和牙周梭杆菌)以及供体丰度的影响。这些因素表现为网络,其中枢纽分类群与系统发育邻居的捐赠情况不同。我们的研究结果表明,人类微生物组中的LGT可能比之前描述的更为普遍。