Somatic mutation rates scale with time not growth rate in long-lived tropical trees

Abstract The rates of appearance of new mutations play a central role in evolution. However, mutational processes in natural environments and their relationship with growth rates are largely unknown, particular in tropical ecosystems with high biodiversity. Here, we examined the somatic mutation landscapes of two tropical trees,Shorea laevis(slow-growing) andS. leprosula(fast-growing), in central Borneo, Indonesia. Using newly-constructed genomes, we identified a greater number of somatic mutations in tropical trees than in temperate trees. In both species, we observed a linear increase in the number of somatic mutations with physical distance between branches. However, we found that the rate of somatic mutation accumulation per meter of growth was 3.7-fold higher inS. laevisthan inS. leprosula. This difference in the somatic mutation rate was scaled with the slower growth rate ofS. laeviscompared toS. leprosula,resulting in a constant somatic mutation rate per year between the two species. We also found that somatic mutations are neutral within an individual, but those mutations transmitted to the next generation are subject to purifying selection. These findings suggest that somatic mutations accumulate with absolute time and older trees have a greater contribution towards generating genetic variation.Significance Statement The significance of our study lies in the discovery of an absolute time-dependent accumulation of somatic mutations in long-lived tropical trees, independent of growth rate. Through a comparative analysis of somatic mutation landscapes in slow- and fast-growing species, we observed a clock-like accumulation of somatic mutations in both species, regardless of their growth rates. Although the majority of somatic mutations were restricted to a single branch, we also identified mutations present in multiple branches, likely transmitted during growth. Our findings suggest that older trees make a greater contribution towards generating genetic variation..

Medienart:

Preprint

Erscheinungsjahr:

2023

Erschienen:

2023

Enthalten in:

bioRxiv.org - (2023) vom: 23. Aug. Zur Gesamtaufnahme - year:2023

Sprache:

Englisch

Beteiligte Personen:

Satake, Akiko [VerfasserIn]
Imai, Ryosuke [VerfasserIn]
Fujino, Takeshi [VerfasserIn]
Tomimoto, Sou [VerfasserIn]
Ohta, Kayoko [VerfasserIn]
Na’iem, Mohammad [VerfasserIn]
Indrioko, Sapto [VerfasserIn]
Purnomo, Susilo [VerfasserIn]
Mollá–Morales, Almudena [VerfasserIn]
Nizhynska, Viktoria [VerfasserIn]
Tani, Naoki [VerfasserIn]
Suyama, Yoshihisa [VerfasserIn]
Sasaki, Eriko [VerfasserIn]
Kasahara, Masahiro [VerfasserIn]

Links:

Volltext [kostenfrei]

Themen:

570
Biology

doi:

10.1101/2023.01.26.525665

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

XBI038522454