A. Subramaniam et al., Bio-optical properties of the marine diazotrophic cyanobacteria Trichodesmium spp. I. Absorption and photosynthetic action spectra, LIMN OCEAN, 44(3), 1999, pp. 608-617
The optical absorption, fluorescence excitation and emission, and photosynt
hetic action spectra were measured in vivo on intact colonies of Trichodesm
ium from the Caribbean Sea. The optical cross-sections were dominated by ul
traviolet-A (UVA) absorption, which was a consequence of massive accumulati
ons of mycosporinelike amino acids. The visible region of the spectrum was
decomposed into several bands, among which chlorophyll a (Chl a), carotenoi
ds, and individual phycobilipigments could be discerned. There was a clear
diel periodicity in the ratio of the optical absorption cross-sections of p
hycourobilin (PUB) to phycoerythrobilin (PEB), increasing from around 1.7 a
t night to 2.1 at midmorning. The diel cycle in PUB/PEB is consistent with
a reversible interconversion of the two pigments. The ratio of PUB/PEB was
inversely correlated with the transfer of excitation energy to photosystem
II (PSII). Light absorbed by PUB was not transferred to PSII with a high ef
ficiency, but rather, a significant fraction was reemitted at 565 Mn as flu
orescence. These observations suggest that the PUBs and PEBs in Trichodesmi
um act as a dynamic biophysical energy valve that modify the rate of excita
tion energy delivered to PSII in response to changes in ambient Light regim
e. The low-temperature (77 K) fluorescence emission spectra reveal an extre
mely weak 685-nm emission signal in relation to that at 730 nm. Based on a
simple model, these data suggest that the ratio of PSI/PSII reaction center
s in Trichodesmium is about 24:1. Such an extraordinary bias against PSII m
ay help minimize damage to nitrogenase from O-2 production in PSII, but it
also reduces the photosynthesis-enhanced growth and makes Trichodesmium vir
tually undetectable by chlorophyll fluorescence. The unique bio-optical pro
perties of Trichodesmium can be used to develop algorithms to study its tem
poral and spatial distributions from remotely sensed information.